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Author: search.filters.author.Ngamroo, IssarachaiSubject: search.filters.subject.PID controller

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    Optimal fuzzy gain scheduling of PID controller of superconducting magnetic energy storage for power system stabilization
    (2013-05-21)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design FGS-PID controllers of superconducting magnetic energy storage (SMES) for power system stabilization. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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    A self-tuning PID-based SMES controller by optimal fuzzy gain scheduling for stabilization of inter-area power system oscillation
    (2013-01-16)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    Generally, the PID (Proportional-Integral-Derivative) controller with fixed parameters may fail to provide satisfactory performance when the system nonlinearity is high. To augment the PID control effect, the optimal fuzzy gain scheduling for a self-tuning PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design an FGS-PID controller of superconducting magnetic energy storage (SMES) for stabilization of inter-area power system oscillation. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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    Optimal fuzzy logic-based PID controller for load-frequency control including superconducting magnetic energy storage units
    (2008-10-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    This paper proposes a new optimal fuzzy logic-based-proportional-integral-derivative (FLPID) controller for load frequency control (LFC) including superconducting magnetic energy storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the multiple tabu search (MTS) algorithm is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters. © 2008 Elsevier Ltd. All rights reserved.
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    Design of optimal fuzzy logic-based PID controller using Multiple Tabu Search algorithm for AGC including SMES units
    (2007-12-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    ;
    Kongprawechnon, Waree
    This paper proposes a new optimization approach of a Fuzzy Logic based-Proportional-Integral-Derivative (FLPID) controller by the Multiple Tabu Search (MTS) algorithm for Automatic Generation Control (AGC) including Superconducting Magnetic Energy Storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the MTS is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the proposed optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters. © 2007 RPS.