Kaitwanidvilai, Somyot
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Kaitwanidvilai, Somyot
Alternative Name
Kaitwanidvilai, S.
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somyot.ka@kmitl.ac.th
15 results
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Item type:Publication, Enhancing the performance of fixed-structure robust loop shaping control using genetic algorithm approach(2011-07-26) ;Olranthichachat, PiyapongThis paper is proposed an algorithm, Genetic Algorithm (GA) based fixed-structure H<inf>∞</inf> loop shaping control, to the problem-solving of conventional H<inf>∞</inf> loop shaping, such as high-order and difficult to be usable in general. In this approach, a structure of controller is specified combine H<inf>∞</inf> loop shaping method is solved by GA algorithm. Additionally, in the proposed technique, the desired performance weighting function, which is defined by using GA. The performance and robustness of the proposed controller are investigated in a pneumatic servo system in comparison with that of the controller designed by conventional H <inf>∞</inf> loop shaping. Results of simulation demonstrate the advantages of simple structure and robustness against plant perturbations and disturbances of the proposed controller. Experiments are performed to verify the effectiveness of the proposed technique. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust fixed-structure cascade controller for a quadratic boost converter(2010-12-01) ;Srithongchai, PitsanuIn this paper, a new technique for designing a robust cascade controller for a quadratic boost converter is proposed. A performance index in H infinity loop shaping control, stability margin, is adopted as the objective function in our optimization control problem; GA is used to solve this problem to evaluate the optimal controller. Conditions of cascade control are adopted as constraints in our optimization problem. In addition, pre-compensator weight which is normally difficult to be selected is simultaneously determined with the controller. Comparative study with the conventional H infinity loop shaping is presented. Finally, simulation results verify the effectiveness of the proposed technique. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust pitch controller design in hybrid wind-diesel power generation system(2008-09-23) ;Cuk Supriyadi, A. N.; ; ; Hashiguchi, T.In this paper, the robust control design of pitch controller for frequency control in a hybrid wind-diesel power generation system is proposed. The structure of the pitch controller is a 1<sup>st</sup>-order lead-lag compensator. To take system uncertainties into account, the coprime factorization is applied in system modeling. To obtain the controller parameters, the performance and stability conditions of H<inf>∞</inf> loop shaping technique are used to formulate the optimization problem. The genetic algorithm is employed to solve the problem. Simulation studies show the frequency control effect and robustness of the proposed controller against system uncertainties in comparison with a variable structure pitch control. ©2008 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Coordinated SVC and AVR for robust voltage control in a hybrid wind-diesel system(2010-12-01) ;Vachirasricirikul, Sitthidet; This paper proposes a robust control of voltage fluctuation due to the variation of reactive loads in an isolated wind-diesel hybrid power system using Static Var Compensator (SVC) and Automatic Voltage Regulator (AVR). The structure of the voltage controller of SVC and AVR is the proportional integral (PI) controller with single input. 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 and generating and loading conditions. Based on the H<inf>∞</inf> loop shaping, the performance and robust stability conditions of the control system are formulated as the optimization problem. The genetic algorithm is applied to solve an optimization problem and to achieve PI control parameters of SVC and AVR simultaneously. Simulation studies show the control effect and robustness of the proposed coordinated SVC and AVR. © 2010 Elsevier Ltd. All rights reserved. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Genetic algorithm based fixed-structure H∞ loop shaping control of a buck-boost converter(2008-01-01) ;Olranthichachat, P.; H∞ loop shaping is a feasible method for designing a robust controller; however, the controller designed by this method is complicated and has high order. It is not easy to implement this controller in practice. To overcome this problem, we propose an algorithm, GA based fixed-structure H∞ loop shaping control, to design a robust controller. In the proposed technique, genetic algorithm is used to solve the H∞ loop shaping design problem under a structure specified controller. To compare performance, conventional H∞ loop shaping, proposed robust controller and conventional ISE method are investigated. Results of simulation demonstrate the advantages of a simple structure and robustness against plant perturbations and disturbances of the proposed controller. In this paper, the proposed technique is adopted to design a robust controller of a PCMC buck-boost converter. Experiments are performed to verify the effectiveness of the proposed technique. © 2008 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2DOF H infinity Control for DC Motor using Genetic Algorithms(2014-01-01) ;Chitsanga, NatchanonThis paper presents a new method of 2DOF H infinity Control for DC Motor. The proposed technique applies the Genetic Algorithms to achieve the specified structure robust control design. The robustness in terms of robust 2DOF control is achieved by the proposed design and the control results are compared with the conventional 2DOF H infinity control. As results indicated, the proposed method is simpler and the order of the proposed controller is lower than that of the conventional robust control technique. The comparison is done by performing the simulation using the transfer function of the real motor system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robust DC motor system and speed control using genetic algorithms with two degrees of freedom and h infinity control(2017-01-01) ;Chitsanga, N.This paper presents a new design controller called "Robust and fixed-structure 2DOF control" for a DC motor and speed control system. The controller is designed using the concept of 2DOF control with robust loop shaping. The specification of time domain includes in the controller design by using the reference model. Moreover, the structures of both pre-filter and feedback controllers are fixed as a simple structure to make the system robust and still useful in practical works. Instead of solving mathematically complicated equations, Genetic Algorithm is proposed to solve the process of the design control problem. The proposed control is implemented in a speed control of DC Motor. As seen in the results, the proposed system performs better performance, compared to the 1DOF Fixed Structure control and Robust Loop Shaping Control. When the system payloads are changed from 0 kg to 16 kg, the step response from the conventional 1 DOF controller is oscillated obviously at 16 kg., while the proposed controller performs the smooth and stable response. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of robust SVC for voltage control in an isolated wind-diesel hybrid power system(2008-10-06) ;Vachirasricirikul, S.; This paper focuses on a new robust control design of Static Var Compensator (SVC) for voltage control in an isolated wind-diesel hybrid power system. The proposed method is based on the H<inf>∞</inf> loop shaping technique and genetic algorithm (GA). The structure of the controller is a proportional integral (PI) controller with single input. In the design, system uncertainties are modeled by a normalized coprime factorization. The performance and robust stability conditions of the designed system satisfying the H<inf>∞</inf> loop shaping are formulated as the objective function in the optimization problem. The GA is applied to solve an optimization problem and to achieve control parameters. Simulation studies show the effectiveness and robustness of the proposed method. © 2008 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation and Optimization of Two Degree of Freedom H∞ Loop Shaping Control for Average Current Mode Control Buck Converter using Genetic Algorithm(2021-01-01); ;Phurahong, NuttaponIn this paper, we focus on the implementation and optimization of two degree of freedom (2DOF) H∞ loop shaping control for the DC-DC buck converter. The output voltage is controlled using the current control mode called the average current mode control (ACMC). The technique using the fixed structure robust controller technique, as well as genetic algorithm (GA), is applied, resulting in the reduction of the controller order and optimal parameter for the robust proportional integral (PI) controller. In this paper, the performance of the proposed controller is compared with those using the conventional 2DOF H∞ loop shaping controller and other techniques. According to both simulation and experimental results, the robust controller designed by the proposed technique is simple, low order, and practical, yet still retains both performance and robustness. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Genetic algorithms based automatic boundary selection of robust H ∞ loop shaping pid control for DC/DC converter(2013-07-12) ;Olranthichachat, PiyapongH<inf>∞</inf> loop shaping is complicated controller and has high order. It is difficult to implement in practice. To overcome this problem, we propose an algorithm, Genetic Algorithms based Automatic Boundary Selection (GA-ABS) of Robust H<inf>∞</inf> loop shaping control, to design a robust controller. GA-ABS is used to solve the fixed-structure H<inf>∞</inf> loop shaping. Additionally, in the proposed technique, the Boundary Selection of Genetic Algorithms, which is normally difficult to select, is determined by using GA-ABS. The performance and robustness of the proposed controller are investigated in a buck converter in comparison with those of the controllers designed by conventional H<inf>∞</inf> loop shaping and ISE (Integral Square Error) methods. Results of simulations demonstrate the advantages of a simple structure and robustness against plant perturbations and disturbances of the proposed controllers. Experiments are also performed to verify the effectiveness of the proposed technique.
