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The study of excitation controller based on genetic algorithms and fuzzy PID

机译:基于遗传算法和模糊PID的励磁控制器研究

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With the development of electric power systems, conventional PID excitation controller has been unable to meet the requirements of dynamic and static operating performance of system, in order to overcome this shortcoming, a new type of fuzzy PID controller is designed and an optimized fuzzy controller adopting genetic algorithm is put forward based on the conventional fuzzy PID excitation controller. Automatic excitation system of synchronous generator as well as the structures and principles and functions of fuzzy PID controller are introduced in this paper. Simulation results show that the excitation controller designed by this method has better dynamic and static characteristics.
机译:随着电力系统的发展,传统的PID励磁控制器已经不能满足系统动态和静态运行性能的要求,为了克服这一缺点,设计了一种新型的模糊PID控制器,并采用了一种优化的模糊控制器。提出了基于常规模糊PID励磁控制器的遗传算法。介绍了同步发电机的自动励磁系统以及模糊PID控制器的结构,原理和功能。仿真结果表明,该方法设计的励磁控制器具有较好的动,静态特性。

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