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Item type:Item, Design and implementation of a high performance Hard Disk Drive servo controller using GA based 2DOF robust controller(2012-02-01) ;Kaitwanidvilai, SomyotNath, AmarCurrently, HDD (Hard Disk Drive) with VCM actuator covers more than 80% of the HDD market. To enhance the capacity and ability of the system, a new class of servo controller is required to achieve both the robustness and performance of the entire system. This paper proposes a new technique for designing a robust controller for HDD with Voice Coil motor (VCM) actuator; the control design problem, H <inf>∞</inf> loop shaping with structured controller, is solved by Genetic Algorithm (GA). The proposed technique does not only solve the problem of high order controller in the conventional design, but also still retains the robust performance of conventional H <inf>∞</inf> control technique. In addition, structured pre-filter in the 2DOF control scheme is also designed by GA to enhance the performance in terms of time-domain tracking. Simulation and experimental results verify the effectiveness of our proposed technique. © 2012 ICIC International. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Robust control design for three-phase power inverters using genetic algorithm(2012-01-01) ;Nimpitiwan, NatthaphobKaitwanidvilai, SomyotThis paper proposes a new technique to design a fixed-structure robust controller for grid connected three-phase inverter systems. The proposed technique applies the Genetic Algorithm to evaluate the optimal controller parameters. The integral squared error (ISE) of the controlled system is minimized and the robust performance (RP) of the system is satisfied. In the proposed design, the structure of controller is specified as a decentralized Proportional-Integral (PI) controller which is preferred for practical implementations. Simulation results show that the proposed technique is promising. Applying the proposed technique ensures wide operating conditions for three-phase power inverters. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Coordinated SVC and AVR for robust voltage control in a hybrid wind-diesel system(2010-12-01) ;Vachirasricirikul, Sitthidet ;Ngamroo, IssarachaiKaitwanidvilai, SomyotThis 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:Item, Design of robust control and monitoring system for microgrid stabilization(2009-10-22) ;Vachirasricirikul, Sitthidet ;Ngamroo, Issarachai ;Kaitwanidvilai, SomyotChaiyatham, TheerawutThis paper proposes a design of the robust control and monitoring system (RCMS) for stabilization of microgrid (MG) system. The power sources in MG consists of wind power (WP), photovoltaic (PV), micro-turbine (MT) and fuel cell (FC). Due to intermittent powers from WP, PV and load fluctuations, the MG stabilization of RCMS is performed by controlling 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 the proportional integral (PI). By taking system uncertainties into account, control parameters of MT and ES are simultaneously optimized based on the particle swarm optimization (PSO) based fixed-structure H<inf>∞</inf> loop shaping control. Simulation results show the robustness and effectiveness of the proposed RCMS against the variation of system parameters and operating conditions. ©2009 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Structured robust loop shaping control for HIMAT system using PSO(2009-04-13) ;Kaitwanidvilai, Somyot ;Jangwanitlert, AnuwatParnichkun, ManukidRobust loop shaping control is a feasible method for designing a robust controller; however, the controller designed by this method is complicated and difficult to implement practically. To overcome this problem, in this paper, a new design technique of a fixed-structure robust loop shaping controller for a highly maneuverable airplane, HIMAT, is proposed. The performance and robust stability conditions of the designed system satisfying H<inf>∞</inf> loop shaping control are formulated as the objective function in the optimization problem. Particle Swarm Optimization (PSO) technique is adopted to solve this problem and to achieve the control parameters of the proposed controller. Simulation results demonstrate that the proposed approach is numerically efficient and leads to performance comparable to that of the other method. © 2009 American Institute of Physics. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Particle Swarm Optimization based fixed-structure H∞ loop shaping control of MIMO system(2008-12-01)Kaitwanidvilai, SomyotH<inf>∞</inf> loop shaping is a sensible method for designing a robust controller; however, the controller designed by conventional H <inf>∞</inf> loop shaping is complicated with a high order. It is not easy to implement this controller in practice. To overcome this problem, in this paper, a new design technique of a fixed-structure robust controller for MIMO system is proposed. 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. Particle Swarm Optimization (PSO) method is adopted to solve this problem and to achieve the control parameters of the proposed controller. The performance and robustness of the designed controllers, centralized and decentralized PID controllers, are investigated in a MIMO system (a chemical process) in comparison with the conventional H<inf>∞</inf> loop shaping control. Simulation results show that the robustness and performance of the proposed centralized controller are almost identical to those of the controller designed by H<inf>∞</inf> loop shaping method. However, because of the complicated controller in the conventional design, the proposed approach offers a significant improvement in practical control viewpoints by simplifying the controller structure, reducing the controller order and still retaining the robust performance. Simulation results also demonstrate that the proposed approach is numerically efficient and leads to performance comparable to that of previously published methods.
