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首页> 外文期刊>International Journal of Innovative Computing Information and Control >THE PID CONTROLLER BASED ON GENETIC ALGORITHM FOR VOLTAGE STABILITY OF THE SYNCHRONOUS MACHINE
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THE PID CONTROLLER BASED ON GENETIC ALGORITHM FOR VOLTAGE STABILITY OF THE SYNCHRONOUS MACHINE

机译：基于遗传算法的PID控制的同步电机电压稳定性。

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摘要

This paper presents a new approach for tuning the fuzzy PID controller based on Genetic Algorithms (GA) to control the terminal voltage during transient conditions of the fourth order Synchronous Generator (SG) Model. In the proposed method, the input and output scaling factors of the fuzzy PID controller are optimized using GA. An appropriate objective function is used to evaluate PID parameters. GA is used to control the error scaling factor, the error change and the control action. The results of the implementation have been compared with the results that were obtained without controller (AVR of SG only). The Integral Square of Error (ISE %) has been taken as a measure of the transient response enhancement. ISE % has been highly reduced which means, a remarkable enhancement in terminal voltage transient response. The best design achieved in this work has been compared to the well-known Ziegler-Nichols tuning method. It has been noted that the proposed tuning mechanism provides smoother system responses, decreases the oscillations and the settling time.
机译：本文提出了一种基于遗传算法（GA）的模糊PID控制器整定新方法，以控制四阶同步发电机（SG）模型瞬态期间的端电压。该方法利用遗传算法对模糊PID控制器的输入和输出比例因子进行了优化。适当的目标函数用于评估PID参数。 GA用于控制误差比例因子，误差变化和控制动作。已将实现的结果与没有控制器（仅SG的AVR）获得的结果进行了比较。误差的平方平方（ISE％）已作为瞬态响应增强的度量。 ISE％已大大降低，这意味着端子电压瞬态响应显着提高。这项工作中获得的最佳设计已与著名的Ziegler-Nichols调谐方法进行了比较。已经注意到，提出的调谐机制提供了更平滑的系统响应，减少了振荡和建立时间。

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