Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.1109/access.2023.3321829

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Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Society of Instrument and Control Engineers  

DOI： 10.9746/sicetr.56.70

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

In recent years, the introduction of PV (photovoltaic generation) systems has been rapidly expanding to realize a sustainable society. In order to deal with the deterioration of power quality that could occur when a large amount of PV systems is installed, it is necessary to predict the PV power based on the solar irradiance and to select and install system stabilizing devices. Therefore, measuring methods for the solar irradiance by image analysis have been proposed. This paper proposes a measuring method for the solar irradiance at multi-points with different color based image analysis. The proposed method creates estimation models at only an arbitrary point. Then, color values at other points to be measured are extracted and correction values are calculated. By applying correction values to existing estimation models, the solar irradiance at multi-points are measured. The proposed method measured the solar irradiance at the light blue roof, the orange roof and the PV panel points in the image from Nov. 1, 2014 to Nov. 30, 2014. As a result, mean absolute errors between measured values of solar irradiance using a pyranometer and the proposed method at these points were 0.093 kW/m2, 0.093 kW/m2, 0.086 kW/m2, respectively. These were decreased by 58%, 51%, and 45% compared those with using the estimation models without applying correction values, respectively.

DOI： 10.1109/ECCE.2018.8557773

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan (IEE Japan)  

DOI： 10.1541/ieejeiss.138.263

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

This paper proposes a method to control the distribution line voltage utilizing EVs which are connected to the power distribution system. The proposed method adjusts the amount of charge or discharge power of EVs cooperative with PCSs. As a result, the distribution line voltage was maintained within the specified voltage range and the PV opportunity loss was reduced 30.3 points compared with the P control of PCSs. This paper clarifies that EVs are useful as the equipment for maintaining the voltage in the power distribution system.

DOI： 10.1109/PEDS.2017.8289153

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier B.V.  

A mixed Galerkin formulation for reduced-order modeling is presented for controller design of distributed parameter systems with boundary inputs. A null space approach is established to yield appropriate trial and test functions by using candidate trial functions which are free from boundary conditions. The approach is applicable, with considerably mild conditions on the candidate trial functions, on the interior domain as well as its boundaries. It is shown that this modeling technique yields a finite dimensional descriptor system of index 1, that is equivalent to a state-space representation suitable for controller design model. Effectiveness of the proposed method is demonstrated by an example of a heat conduction rod using polynomial functions which are not preprocessed to meet the boundary conditions.

DOI： 10.1016/j.ifacol.2017.08.549

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier B.V.  

For linear distributed parameter systems with a finite number of boundary inputs, we propose a framework to implement the method of weighted residuals using candidate trial functions without boundary homogenization. Proposed scheme utilizes inner product matrix, or Grammian, of the trial functions to separate appropriate homogenized basis functions and the other trial functions matching inhomogeneous boundary conditions. The finite-dimensional approximate model by using the proposed scheme is represented in descriptor form and it is proved to be straightforwardly transformed into state space form. Feasibility of the method is illustrated by a brief controller design example using the approximate model of a heat conduction rod with Dirichlet boundary input.

DOI： 10.1016/j.ifacol.2016.07.410

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc  

Renewable forms of energy such as solar energy have attracted attention as alternative sources of fossil fuel. The output power of photovoltaic generation systems changes steeply. Changes in output power have an effect on the electric power quality of the power system. For that reason, a system which can smooth fluctuations of output power is required. In this paper, the moving average, modified moving average, single exponential smoothing, and double exponential smoothing methods are applied to electric power smoothing control schemes for distributed generation systems with photovoltaic generation. The reduction rate of power fluctuations and the maximum stored energy of electric double layer capacitors are adopted as system evaluation measures. To confirm the effectiveness of the power smoothing control methods, a distributed generation power system with photovoltaic generation systems is simulated with the power electronics circuit simulation software PSIM. The methods are then compared by evaluating the reduction in the capacity of electric double layer capacitors without loss in the power smoothing effect.

DOI： 10.1002/eej.22767

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：John Wiley and Sons Inc  

Recently, renewable energy has been attracting attention as a result of global warming and the depletion of fossil fuels. Photovoltaic (PV) systems have spread rapidly around the world because they generate electric power quietly and can be installed in many places. The output power generated in a PV system fluctuates with changes in solar irradiance and panel temperature. The reverse flow of surplus power in output spikes may have a negative effect on electric power quality, such as on the frequency and voltage in a power system. A residential distributed generation (DG) system composed of a fuel cell (FC) unit, an electrolyzer (EL) unit, and a PV system has been proposed in order to resolve these problems. In order to operate this system without interruption, the hydrogen storage volume must be managed. This paper proposes a novel hydrogen management method for a residential DG system with PV cells and hydrogen-storage type FCs. The hydrogen storage volume is maintained at the preset frequency by operating the FC unit and the EL unit. Models of the PV, FC, and EL were constructed for a simulation. In the simulation, we showed that the proposed management method is viable for a residential DG system with PV cells and hydrogen-storage FCs.

DOI： 10.1002/eej.22757

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electrical Engineers of Japan  

This paper investigates capacities of a photovoltaic generation system and an electrolyzer in a proposed residential distributed generation system with a fuel cell vehicle. The evaluation is carried out in terms of the reduction rate of the power fluctuation and the operation cost in the five electricity price cases. By designing the rated capacity of the electrolyzer to be less than and near that of the photovoltaic generation system, an excessive capacity of the electrolyzer can be avoided. The operation cost of the proposed system is lower than that of the conventional system when the rated capacity of photovoltaic generation system is less than 5kW and the electricity price of sold power goes down. However, the operation cost increases as the electricity price of purchased power rises during the night. The reduction rate of 63.3% is achieved in the proposed system with a photovoltaic generation system of 5 kW and an electrolyzer of 4 kW.

DOI： 10.1541/ieejpes.135.591

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institute of Electrical and Electronics Engineers Inc.  

Recently, a large number of photovoltaic systems have been installed in the distribution system. Reverse power flow through the distribution line caused by photovoltaic generation results in the voltage deviation from the specified range. Usually, the photovoltaic system is controlled autonomously using an individual power conditioner. Autonomous control causes inequality of the photovoltaic generation power on the same distribution line. This paper proposes three new cooperative control methods by communicating the information between power conditioners to overcome this problem. This paper discusses five control methods: conventional active power control, conventional active and reactive power control, the proposed cooperative active power control, and two proposed active and reactive cooperative controls. The study evaluates these control methods by the amount of PV generation power and the power loss in one day.

DOI： 10.1109/IAS.2014.6978486

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Language：English   Publishing type：Research paper (international conference proceedings)  

In this paper, two kinds of Reflectance-Adjusting PSO (RAPSO) methods that improve the adjustment of the reflectance in the vector reflection PSO are proposed. One is RAPSO using the standard deviation of optimal evaluation values for the latest steps, called RAPSO-OE. The other is RAPSO using the standard deviation of particles' evaluation values in the present step, called RAPSO-PE. The proposed methods are compared with Simple PSO and Taper-off-Reflectance PSO (TRPSO). The validity is shown by benchmark tests, and the proposed method is applied to the optimization problem of electric power leveling systems in rolling mills. The simulation result shows that adjusting reflectance is effective for reducing search time, especially when the optimal solution exists in the edge of problem domain. © 2013 IEEE.

DOI： 10.1109/PESMG.2013.6672363

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：WILEY-BLACKWELL  

An approach to control-oriented uncertainty modeling is presented for a class of elastic vibrating systems such as flexible structures, beams and strings, described by partial differential equations. Uncertainty bounding techniques are developed using the upper and lower bounds of the unknown eigenparameters. The result forms a basis for a finite-dimensional controller design in which closed loop stability and performance are guaranteed. A feasible set of systems is defined of all systems governed by a class of differential equations with certain norm bounds of the unknown input and output operators and with partially known bounds of the eigenparameters. Then the perturbation magnitude covering the feasible set is evaluated in the frequency domain where a standard truncated modal model is chosen as the nominal one. An upper bound to the truncated error magnitude which is calculated by linear programming is proposed. It is demonstrated that all the parameters formulating a feasible set are derived by finite element analysis for a flexible beam example, and feasibility of the proposed scheme is also illustrated by numerical bounding results. (c) 2006 Wiley Periodicals, Inc.

DOI： 10.1002/eej.20272

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Authorship：Lead author   Language：English  

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Language：English   Publishing type：Research paper (scientific journal)  

An approach to control-oriented uncertainty modeling is presented for a class of elastic vibrating systems such as flexible structures, beams and strings, described by partial differential equations. Uncertainty bounding techniques are developed using upper and lower bounds of the unknown eigenparameters. The result forms a basis for a finite-dimensional controller design in which closed loop stability and performance are guaranteed. A feasible set of systems is defined of all systems governed by a class of differential equations with certain norm bounds of unknown input and output operators and with partially known bounds of eigenparameters. Then the perturbation magnitude covering the feasible set is evaluated in frequency domain where a standard truncated modal model is chosen as the nominal one. An upper bound to the truncated error magnitude is proposed which is calculated using linear programming. It is demonstrated that all the parameters formulating a feasible set are derived using finite element analysis for a flexible beam example, and feasibility of the proposed scheme is also illustrated by numerical bounding results. © 2005, The Institute of Electrical Engineers of Japan. All rights reserved.

DOI： 10.1541/ieejeiss.125.77

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In this paper, we propose a distributed routing method for multiple mobile robots under uncertain motion delays. The feature of the proposed method is that each AGV subsystem creates the routing to minimize the sum of the transportation time and the penalty for collision avoidance constraints taking into account motion delay disturbances for other AGVs. The computational results show that the total transportation time obtained by the proposed method is shorter than that of the conventional method under various type of motion delay disturbances.

DOI： 10.1109/IROS.2005.1545271

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Language：English   Publishing type：Research paper (international conference proceedings)  

Recently Robotics has been applied in many fields. Robot designers have focused the applications that from the standardization factory, in which all kinds of industrial robots run repeatedly, to the social welfare field, where there is no standard but need higher safety. However, according to today's technology, the ability that robot can quickly enough to adapt a new environment is still worse by far than human. The intent of this paper is to show the control plan for two degrees of freedom (2-DOF) dexterous robot arms both of these two robot arms operate in operation under the realistic environment. This control system can be synthesized quickly by neural network algorithms. © 2005 SICE.

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Language：English   Publishing type：Research paper (international conference proceedings)  

In this study, we tackle the problem of routing multiple Automated Guided Vehicles (AGVs) with disturbances. In real life transportation environments, unexpected delays and demands may cause re-routings. A centralized controller may not work under these circumstances due to computational complexity and high number of combinations of routes. Thus, we propose a distributed routing method that can solve re-routing problem under several disturbances. Numerical results indicate that the effects of disturbances are reduced by increasing the total time of transportation and the proposed algorithm shows an advantage over a conventional method in most performance indices. © 2005 SICE.

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Language：English   Publishing type：Research paper (international conference proceedings)  

Various studies have been undertaken to examine the inner furnace phenomena of a blast furnace. These studies are limited, however, to the evaluation of furnace performance while a design method of furnace control is left be developed. In this paper, based on the study, the production loads in plural furnaces are controlled. Using the method based on SQP method, Production costs in plural furnaces are minimized. Moreover, the desired production of each furnace is determined by the calculation as the total production is fulfilled. © 2005 SICE.

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Language：English   Publishing type：Research paper (international conference proceedings)  

For storage yard logistic systems, it is necessary to generate transportation plan for raw material to appropriate storage areas. In this paper, we propose a dynamic optimization model for storage yard logistic systems. Firstly, we decompose the storage yard logistic problem into allocation planning problem and transportation route planning problem. The storage allocation planning problem is formulated as an LP problem, and then transportation routing problem is solved by a distributed routing method accordingly. A near optimal allocation and transportation plan is derived by repeating each optimization and information exchange. The effectiveness of allocation and route planning model for the proposed method is confirmed by numerical experiments. © 2005 SICE.

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：IRON STEEL INST JAPAN KEIDANREN KAIKAN  

In recent years, many control systems have been developed and applied to hot rolling in order to improve the quality of the finished products. Due to the plant characteristics and the control system performance variations over time, human experts intervene and modulate control gains to maintain and to improve the control system performance. Through a breakthrough, we can expect to attain the fully automated modulation of control gains without human intervention. A neural network model representing gain modulating actions by human was developed for a looper height controller in hot strip mills. The developed neural network model is a recurrent type neural network (RNN) which calculates the appropriate PID gains of the looper height controller based on the modification data Of human operations as training data. Further, a learning algorithm for the RNN model was developed to accelerate convergence of the gain modification process and to stabilize the looper movement. The neural gain tuning model was applied to the inter-stands looper height controller in hot strip mills. The usefulness of the developed model was checked through numerical experiments. From the experimental results, it was verified that the tuning actions by humans can be realized by the model. Through its learning mechanism, the model could also cope with disturbances such as changes in roll gap. This may lead to the stabilization of threading operations of hot strip mills.

DOI： 10.2355/tetsutohagane1955.90.11_933

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Language：English   Publishing type：Research paper (international conference proceedings)  

In this paper, we propose an inventory control scheme for planning and scheduling of a single stage production system under demand uncertainty. In the proposed method, the amount of material requirements is determined by a stochastic approach taking into account the demand variation in feedforward. The amount of inventory for, final products is determined by the feedback information from the results of detailed scheduling results. The effectiveness of the proposed control scheme is investigated from numerical simulations.

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Language：English   Publishing type：Research paper (international conference proceedings)  

In this paper, neural network model representing gain modulating action by human was developed for looper height controller in hot strip mills. The developed neural network model is that of the recurrent type neural network (RNN) which calculates the appropriate PII) gains of looper height controller based on the modification data of human operation as the training data. Further, learning algorithm for RNN model was developed to accelerate convergence of the gain modification process and to stabilize the looper movement. The neural gain tuning model was applied to the inter-stands looper height controller in hot strip mills. The usefulness of the developed model was checked through numerical experiments. From the experimental results, it was verified that the tuning action by human can be realized by the model. The model could also cope with disturbance such as change in roll gap because of its learning mechanism that may lead to the stabilization of threading operation of hot strip mills. © 2004 IEEE.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

An optimal finite-dimensional modeling technique is presented for a standard class of distributed parameter systems for heat and diffusion equations. A finite-dimensional nominal model with minimum error bounds in frequency domain is established for spectral systems with partially known eigenvalues and eigenfunctions. The result is derived from a completely characterized geometric figure upon complex plane, of all the frequency responses of the systems that have (i) a finite number of given time constants T-i's and modal coefficients k(i)'s, (ii) an upper bound p to the infinite sum of the absolute values of all the modal coefficients k(i)'s, (iii) an upper bound T to the unknown T-i's, and (iv) a given dc gain G(0). Discussions are made on how each parameter mentioned above makes contribution to bounding error or uncertainty, and we stress that steady state analysis for dc input is used effectively in reduced order modeling and bounding errors. The feasibility of the presented scheme is demonstrated by a simple example of heat conduction in ideal copper rod.

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Publisher：The Society of Instrument and Control Engineers  

Route planning of multiple AGVs (Automated Guided Vehicles) is expected to minimize the transportation time without collision and deadlock among the AGVs in many transportation systems. In this paper, we propose an autonomous distributed route planning method for multiple mobile robots. The proposed method has a characteristic that each mobile robot individually creates a near optimal route through the repetitive data exchange among the robots and the local search of route using Dijkstra's algorithm. The proposed method is applied to several transportation route planning problems. The optimality of the solution generated by the proposed method is evaluated using the duality gap derived by Lagrangian relaxation method. A near optimal route plan within 5% of duality gap for a large scale transportation system consisting of 143 nodes and 15 AGVs can be obtained with five seconds of computation time by using Pentium III (1GHz) processor. Moreover, it is shown that the proposed method is effective for various types of problems despite the fact that each route for AGV is created without optimizing the entire objective function even when the velocity of each AGV is different.

DOI： 10.9746/sicetr1965.39.759

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Society of Instrument and Control Engineers (SICE)  

In this paper, we propose a periodic control strategy for the assignment of the tasks to several AGVs (Automated Guided Vehicles) in dynamic transportation. In the proposed method, all of the transportation tasks that arrive at a time are collected during a given time period and an efficient scheme of the assignment is generated by the optimization procedure, that has to be completely executed during the next period. An meta-heuristic algorithm called pheromone communication method is adopted as an optimization method for minimizing the traveling time of AGVs while maintaining a short computation time. In our study, the optimal number of collecting new tasks is investigated by changing the various timing of sending the requests to AGVs in the numerical experiments. The effectiveness of the proposed method is demonstrated by comparing the total throughput of an AGV system with that of the conventional method for a large scale transportation bay.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

A control-oriented uncertainty modeling on frequency domain is presented for a class of spectral systems with unknown high-order modal parameters. At any user-specified frequency, the set of all the feasible frequency responses is characterized on the complex plane where it is said to be feasible if partial modal parameters of a system are given and the other unknown modal parameters meet certain conditions. We emphasize that such a characterization enables us to quantify the least upper bounds of errors for any nominal models, and also to develop further efficient results using additional information. It is shown in the paper that, the dc gain information of the system reduces the size of the feasible set to the half or smaller, for any frequencies. The efficiency of the presented scheme is demonstrated by a simple example of ideal flexible beam.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In this paper, we present a new interpretation of the subspace-based state space system identification (4SID) method by using a subspace extraction via Schur complement (SES). Several efficient implementations of subspace-based identification methods (e.g., N4SID, etc) have been thus far developed and proposed. We consider the MIMO output error state space model identification, the so-called MOESP, Making a comparison between the matrix obtained by the QR factorization in the MOESP and the Schur complement matrix of data product moments shows that the estimate of the extended observability matrix can be obtained by using the SES procedure. Viewing that fact that the Schur complement yielded by the subspace extraction coincides with the error covariance in the least squares (LS), our interpretation will pave the way for the derivation of the recursive algorithm of the 4SID method.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

A procedure for control-oriented modeling of uncertainty is proposed for large flexible structures. Techniques on quantification of errors in modal truncated nominal models are developed for the case where a finite number of upper and lower bounds of the unknown modal parameters are given. A feasible set of systems matching the conditions is introduced, and then error bounds covering the feasible set are established in the frequency domain. The bounds are easily checked using linear programming for any user-specified frequency. The feasibility of the proposed scheme is illustrated by numerical study on an ideal flexible beam example.

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Publisher：The Society of Instrument and Control Engineers  

An approach is presented for modeling uncertainty from a priori information of a plant. A feasible model set is defined of all systems governed by a class of differential equations with certain norm bounds of unknown input and output operators and partially known eigenparameters. Then an unstructured uncertainty class of models including the feasible model set is characterized with least magnitude of additive perturbation in frequency domain. An example of finite dimensional compensator design is demonstrated to illustrate the usefulness of the approach.

DOI： 10.9746/sicetr1965.35.349

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

An approach is presented for modeling with least additive uncertainty from a priori information of a plant. A feasible set of systems is defined as the set of all systems governed by a dass of differential equation with certain norm bounds of unknown input and output operators as well as partially known eigenparameters. Then an unstructured uncertainty class including the feasible set is characterized with least magnitude of additive perturbation in frequency domain. An example of finite dimensional compensator design is demonstrated to illustrate the usefulness of the presented approach.

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Publisher：The Society of Instrument and Control Engineers  

In this paper, robust identification of discrete time systems in time domain is studied. An approach is proposed to estimate the nominal model, minimizing the errors, with iterative computation on numerator and donominator. Methods are proposed to reduce the influence of noise on the proposed scheme. Numerical study shows effectiveness of these methods for idenifying characteristics in low frequency range of systems in the presence of noise.

DOI： 10.9746/sicetr1965.34.1374

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：PERGAMON PRESS LTD  

A study is presented on relationships between subspace approaches and conventional parameter estimation schemes. We focus on identification of single-input-single-output(SISO) systems via the Subspace State Space Identification (4SID) method. We show that an intermediate vector which appears in the 4SID procedure is equal to the parameter of the system pulse transfer function if the model set includes the system with noise free measurements. We also show explicitly, in a elementary way, that the intermediate vector is also equivalent to the estimate via the eigenvector method in the case that the column size of the extended observability matrix is equal to "(the order of the model) + 1". Furthermore, we demonstrate that using a modified cost functional in the Eigenvector method corresponds to the IV-4SID method and hence gives a consistent estimate even for colored noise.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：I E E E  

In this paper, we present a reduced order modeling technique for a stable self-adjoint spectral system with unbounded input/output operators. An uncertainty model which covers the original distributed parameter system is formulated in view of finite dimensional controller design using linear robust control theory. The model is made of a finite dimensional nominal plant and frequency domain additive error bounds. The nominal model is a modal truncation containing a feed-through term with no de errors between the nominal plant and the system. The bound is computable using elements of the system and partial knowledge of spectral structure. The formula obtained can be readily applicable to a wide class of systems including heat conduction and diffusion, and easily extended for systems with vibration.

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DOI： 10.1541/ieejeiss1987.115.7_882

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DOI： 10.5687/iscie.5.365

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Publisher：The Society of Instrument and Control Engineers  

For a parabolic distributed parameter system with boundary inputs, we consider a finite dimensional approximation scheme of Galerkin type and propose a method yielding approximation models with no static errors.<br>We illustrate a modal interpretation of the approximation model in the caseeigenfunction is employed for the coordinate function and show that the magnitude of the approximation errors of the higher order modes are proportional to the first-order differential of the system input.<br>We verify above results numerically both by simulation study in time domain and error evaluation in frequency domain, for an example of a constant parameter system.

DOI： 10.9746/sicetr1965.27.1366

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Other Link： https://jlc.jst.go.jp/DN/JALC/00012918980?from=CiNii

Language：English   Publisher：Kyushu University  

DOI： 10.15017/1500432

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Other Link： http://hdl.handle.net/2324/1500432

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Publisher：Kyushu University  

DOI： 10.15017/1498359

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Event date： 2023.11.25

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