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Item type:Item, Weight optimization and structurespecified robust h∞loop-shaping control of apneumatic servo system using genetic algorithm(2010-01-01) ;Kaitwanidvilai, S. ;Olranthichachat, P.Ngamroo, I.H∞ loop-shaping (HLS) is a feasible method for designing a robust controller; however, the controller designed by this method is usually complicated with high order. To overcome this problem, we propose a new design technique, weight selection and structurespecified HLS control using genetic algorithms (GAs), to design a robust controller. In the proposed technique, both the performance weight and structures-specified robust loop-shaping controllerare simultaneously determined by GA. The performance and robust stability conditions of the designed system satisfying the HLS are formulated as the objective function in the optimization problem. The designed controller contains simple structure with lower order and still retains the robustness and performance specification. As shown in the simulation results, the robustness and performance of the proposed controller are almost identical to those of the controller designed by HLS method and the proposed technique leads to performance comparable to that of the reduced-order controller. Experiments on the pneumatic actuators of a pneumatically actuated robot are performed to verify the effectiveness of the proposed technique. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Robust frequency stabilization in a microgrid system(2009-12-16) ;Vachirasricirikul, S. ;Ngamroo, I. ;Kaitwanidvilai, S.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:Item, Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms(2009-12-16) ;Ngamroo, I. ;Cuk Supriyadi, A. N. ;Dechanupaprittha, S.Mitani, Y.This paper proposes a robust controller design of Superconducting Magnetic Energy Storage (SMES) for stabilization of interconnected power systems with wind farms. The inverse additive perturbation is applied to represent system uncertainties such as variation of system parameters, several generating and loading conditions etc. The structure of active and reactive power controllers of SMES is the first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on the enhancement of additive stability margin. The particle swarm optimization is used to solve for controller parameters. Simulation studies in a six-area interconnected power system with wind farms confirm the robustness of the proposed SMES against various system operating conditions. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms(2008-12-01) ;Cuk Supriyadi, A. N. ;Ngamroo, I. ;Kunakorn, A. ;Dechanupaprittha, S.Watanabe, M.This paper proposes a design of robust power system stabilizer (RPSS) based on inverse additive perturbation optimization in an interconnected power system with wind farms. In the design, system uncertainties are represented by the inverse additive model. The robust stability condition is used to form the optimization problem of PSS parameters. The structure of PSS is a conventional second-order lead-lag controller. The genetic algorithm is applied to solve the problem and achieve the PSS parameters. Simulation studies in the two-area four-machine system with wind farms confirm that the damping effect and robustness of the proposed PSS are superior to those of the compared PSS. © 2008 SICE. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Design of robust SVC for voltage control in an isolated wind-diesel hybrid power system(2008-10-06) ;Vachirasricirikul, S. ;Ngamroo, I.Kaitwanidvilai, 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:Item, H∞ loop shaping-based robust control design of PSS and TCSC for dynamic stability enhancement(2008-10-06) ;Cuk Supriyadi, A. N. ;Ngamroo, I. ;Kaitwanidvilai, S. ;Kunakorn, A.Hashiguchi, T.In this paper, the robust control design of power system stabilizer (PSS) and thyristor controlled series capacitor (TCSC) for enhancement of power system dynamic stability is proposed. To take system uncertainties such as variations of system parameters, several loading conditions etc., into account, the normalized coprime factorization is used to represent unstructured uncertainties in the system. The H∞ loop shaping technique is applied to design robust PSS and TCSC controllers. Simulation results in a single machine infinite bus system show that the performance and robustness of the proposed H∞ controllers of PSS and TCSC are superior to those of the conventional PSS and TCSC. © 2008 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Robust pitch controller design in hybrid wind-diesel power generation system(2008-09-23) ;Cuk Supriyadi, A. N. ;Ngamroo, I. ;Kaitwanidvilai, S. ;Kunakorn, A.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.
