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Fuzzy -PLC PID Simulink implemented AVR system to enhance the transient response of synchronous generator

机译:模糊-PLC PID Simulink实现了AVR系统,增强了同步发电机的瞬态响应

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A novel design a fuzzy proportional integral derivative (PID) controller is using Matlab and programmable logic controllers (PLCs) for a set point voltage control problem in the automatic voltage regulator (AVR) system. The controller objective is to maintain the terminal voltage all the time under any loads and operational conditions by attaining to the desired range via the regulation of the generator exciter voltage. The main voltage control system uses PLCs to implement the AVR action. The proposed fuzzy controller combines the genetic algorithm (GA), radial-basis function network (RBF-NN) identification and fuzzy logic control to determine the optimal PID controller parameters in AVR system. The RBF tuning for various operating conditions is further employed to develop the rule base of the Sugeno fuzzy system. The fuzzy PID controller FPID is further designed to transfer in PLCs (Step 75.5) for implementing the AVR system to maintain the terminal voltage all the time under any loads and operational conditions for synchronous generator constant.
机译:一种新颖的设计模糊比例积分衍生物(PID)控制器正在使用MATLAB和可编程逻辑控制器(PLC),用于自动电压调节器(AVR)系统中的设定点电压控制问题。控制器目的是通过通过调节发电机激励器电压来实现任何负载和操作条件下的终端电压。主电压控制系统使用PLC来实现AVR动作。所提出的模糊控制器结合了遗传算法(GA),径向基函数网络(RBF-NN)识别和模糊逻辑控制来确定AVR系统中的最佳PID控制器参数。各种操作条件的RBF调整还用于开发Sugeno模糊系统的规则基础。模糊PID控制器FPID进一步设计用于在PLC中传输(步骤75.5),用于实现AVR系统,以在任何负载和操作条件下保持终端电压和同步发电机恒定的操作条件。

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