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Model free adaptive fuzzy supervisory control design for electric power system

机译:电力系统的无模型自适应模糊监控设计

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Electric power system is likely to emerge chaotic oscillation under stronger periodic load perturbation, even lose stability. The hybrid controller based on direct adaptive fuzzy control and supervision control has been designed to retrain chaotic oscillation when the magnitude of the periodic load perturbation is unknown. First, a direct adaptive fuzzy controller is designed as the main controller. Then, in order to ensure the stability of the closed-loop system, a supervisory controller is designed, which is working only when the fuzzy controller can not stabilize the controlled power system. The stability of the closed-loop control system is proved by Lyapunov stability theory. Finally, simulation results show that the proposed controller can suppress the power system chaotic oscillations, and achieve no static error control.
机译:电力系统在较强的周期性负载扰动下可能会出现混沌振荡,甚至会失去稳定性。设计了基于直接自适应模糊控制和监督控制的混合控制器,可以在周期性负载扰动的大小未知时重新训练混沌振荡。首先,将直接自适应模糊控制器设计为主控制器。然后,为了确保闭环系统的稳定性,设计了一种监控器,该监控器仅在模糊控制器不能使受控电力系统稳定时才起作用。 Lyapunov稳定性理论证明了闭环控制系统的稳定性。最后,仿真结果表明,所提出的控制器能够抑制电力系统的混沌振荡,并且没有静态误差控制。

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