基于改进单神经元自适应PID励磁控制器

Excitation controller based on improved single nerve cell PID

介绍了一种新型的基于改进单神经元自适应比例积分微分(PID)的励磁控制器,使神经元比例系数K在线自适应修正。在动态响应初期,误差较大,K取较大,使系统响应具有快速性;进入稳态后,K取较小,确保系统渐趋稳定。描述了该控制器控制算法。该控制器应用自学习、自适应的控制原理,具有一定处理非线性系统的能力。以单机无穷大系统为例,在Matlab/Simulink环境中进行仿真,结果显示,改进单神经元自适应PID控制器结构简单,基本只需整定1个参数即可达到控制要求,且对于不同工况均有稳定的控制效果,体现出良好的鲁棒性。

An excitation controller based on improved single nerve cell PID （Proportional Integral Derivative） control is introduced,in which the nerve cell proportional coefficient K is modified adaptively on line. During the early period of dynamic response with big errors ,big values are selected for K to realize the fast system response. During the steady state period, small values are selected to ensure the system stability. The control algorithm is described. It applies self-adaptive and self-learning control principles and has the ability to handle nonlinear system such as synchronous generator. A simulation model of a single-machine infinite-bus system is constructed in Matlab/Simulink. The excitation controller based on improved single nerve cell PID control is simple,more efficient and highly robust under different operation conditions, and almost only one parameter is needed to be set.