Kaitwanidvilai, Somyot
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Kaitwanidvilai, Somyot
Alternative Name
Kaitwanidvilai, S.
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Email
somyot.ka@kmitl.ac.th
16 results
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Item type:Publication, PSO based decentralized robust power system stabilizer for a multi-machine power system(2012-06-12); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust voltage stabilization in an isolated wind-diesel power system using pso based-fixed structure H∞ loop shaping control(2009-07-30); It is well known that the power system controller designed by H∞ control is complicated, high order and impractical. In power system applications, practical structures such as proportional integral derivative (PID) etc., are widely used, because of their simple structure, less number of tuning parameters and low-order. However, tuning of controller parameters to achieve a good performance and robustness is based on designer's experiences. To overcome this problem, this paper proposes a fixed structure robust H∞ loop shaping control to design Static Var Compensator (SVC) and Automatic Voltage Regulator (AVR) for robust stabilization of voltage fluctuation in an isolated wind-diesel hybrid power system. The structure of the robust controller of SVC and AVR is specified by a PID controller. In the system modeling, a normalized coprime factorization is applied to represent possible unstructured uncertainties in the power system such as variation of system parameters, generating and loading conditions etc. Based on the H∞ loop shaping, the performance and robust stability conditions are formulated as the optimization problem. The particle swarm optimization is applied to solve for PID control parameters of SVC and AVR simultaneously. Simulation studies confirm the control effect and robustness of the proposed control. © 2009 The Institute of Electrical Engineers of Japan. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust loop shaping-fuzzy gain scheduling control of a servo-pneumatic system using particle swarm optimization approach(2011-01-01); Olranthichachat, PiyapongIn this paper, a new technique called robust loop shaping-fuzzy gain scheduled control (RLS-FGS) is proposed to design an effective nonlinear controller for a long stroke pneumatic servo system. In our technique, a nonlinear dynamic model of a long stroke pneumatic servo plant is identified by the fuzzy identification method and is used as the plant for our design. The structure of local controllers is selected as PID control which is proven by many research works that this type of control has many advantages such as simple structure, well understanding, and high performance. The proposed technique uses particle swarm optimization (PSO) to find the optimal local controllers which maximize the average stability margin. In addition, performance weighting function which is normally difficult to obtain is automatically determined by PSO. By the proposed technique, the RLS-FGS controller can be designed, and the structure of local controllers is still not complicated. As seen in the simulation and experimental results, our proposed technique is better than the classical gain scheduled PID controller tuned by pole placement and the conventional fuzzy PID controller tuned by ISE method in terms of robust performance. © 2010 Elsevier Ltd. All rights reserved. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Harmonic reduction technique in PWM AC voltage controller using Particle Swarm Optimization and artificial neural network(2010-12-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of electrolyzer system to enhance frequency stabilization effect of microturbine in a microgrid system(2009-09-01); It is well known that the power output of microturbine can be controlled to compensate for load change and alleviate the system frequency fluctuations. Nevertheless, the microturbine may not adequately compensate rapid load change due to its slow dynamic response. Moreover, when the intermittent power generations from wind power and photovoltaic are integrated into the system, they may cause severe frequency fluctuation. In order to study the fast dynamic response, this paper applies electrolyzer system to absorb these power fluctuations and enhance the frequency control effect of microturbine in the microgrid system. The robust coordinated controller of electrolyzer and microturbine for frequency stabilization is designed based on a fixed-structure H<inf>∞</inf> loop shaping control. Simulation results exhibit the robustness and stabilizing effects of the proposed coordinated electrolyzer and microturbine controllers against system parameters variation and various operating conditions. Crown Copyright © 2009. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Structured robust control for a Pmdc motor speed controller using swarm optimization and mixed sensitivity approach(2010-12-01); This paper proposes a new technique for designing a robust DC motor speed controller based on the concepts of fixed-structure robust controller and a mixed sensitivity method. Performance is specified by selecting the closed-loop objective weight, and uncertainties caused by the parameter changes of motor resistance, motor inductance and load are used to formulate the multiplicative uncertainty weight. Particle Swarm Optimization (PSO) is adopted to solve the optimization problem and find the optimal structured controller. The proposed technique can solve the problem of complicated and high order controller of conventional full order H <inf>∞</inf> controller and also retains the robust performance of conventional H <inf>∞</inf> optimal control. The performance and robustness of the proposed speed controller are investigated in a Permanent Magnet DC (PMDC) motor in comparison with the controllers designed by conventional H <inf>∞</inf> optimal control and conventional ISE method. Results of simulations demonstrate the advantages of the proposed controller in terms of simple structure and robustness against plant perturbations and disturbances. Experiments are performed to verify the effectiveness of the proposed technique. © Springer Science+Business Media B.V. 2010. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, PSO based adaptive force controller for 6 DOF robot manipulators(2017-01-01); Force control in robot arm has been used in many industrial applications especially end-effector contacting with environment. When environment is change, the performance of non-adaptive controller may be decreased. This paper presents adaptive force controller for 6 DOF (degree of freedom) Robot Manipulators that do not require identifying the environment before controlling. Particle swarm optimization (PSO) has been employed to solve this problem. In simulation, the end-effector was moved and touched different environments. The simulation results were compared with typical non-adaptive control. The result shows that when the environment is changed, the performance of non-adaptive force controller decreased. On the other hand, the performance of PSO based adaptive force controller remained the same. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust frequency stabilization in a microgrid system(2009-12-16); ; Chaiyatham, T.This paper proposes a new design of a robust control and monitoring system (RCMS) for robust stabilization of frequency fluctuation in a microgrid (MG) system. In MG system, the power sources consists of wind power (WP), photovoltaic (PV), microturbine (MT) and fuel cell (FC). Due to WP, PV and load fluctuations, the frequency stabilization of RCMS is performed by adjusting the power outputs of MT and electrolyzer system (ES) in both islanding and interconnected utility grid operations. The structure of MT and ES controllers is a proportional integral (PI). To enhance the robustness of designed controllers against system uncertainties, controller parameters of MT and ES are concurrently tuned by the particle swarm optimization based on a specified-structure H<inf>∞</inf> loop shaping control. Simulation results display the effectiveness and robustness of the proposed RCMS against system parameters variation and several operating conditions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Safety path planning with obstacle avoidance using particle swarm optimization for agv in manufacturing layout(2019-02-01); Aoyama, HisayukiIn robotic systems, path planning is the one of important processes for robot motion. The best path planning is required for shortest path searching that can make fast movement of robot. However, the real environment is not only the path from point to point but it has obstacles which are the one of constraints for best path searching. The obstacle avoidance is concerned to avoid the crashing between robot and obstacle under environment. In Hard Disk Drive manufacturing, the first priority is safety constraint for non-collision and second priority is shortest path for processing time saving. This research designed the algorithm for path planning and obstacle avoidance for AGV in Hard Disk Drive Manufacturing of Seagate Technology (Thailand) Ltd by using particle swarm optimization. The fitness function on particle swarm optimization process for particle searching has been integrated with obstacle avoidance function to find the best path for robot without collision and total distance to find the shortest path. This algorithm is applied to verifying the model performance. The simulation results of this research are done by MATLAB 2016b and illustrate the good performance on different cases with controlled parameter. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Static VAR compensator using fixed structure static output feedback robust loop shaping control(2010-12-01);