摘要
水轮发电机组系统是一非线性、时变、高阶系统,传统PID或模糊控制很难达到理想的控制效果,模糊和PID适当结合控制可提高控制效果。对模糊和PID控制相结合形式进行了讨论,并设计了常用的几种模糊和PID控制结合的控制器;又结合具体水电站控制工程,对控制器进行了仿真分析,并分析了模糊和PID如何优势互补达到较好的控制效果。为了说明问题,设计模糊和PID控制器时用遗传算法和神经网络进行了优化。
It is difficult for conventional PID or Fuzzy controller to get good controlling performance because turbine generating unit is a complicated, non-linear, varying with time, high steps system. Fuzzy control and PID control may be combined suitable to control the complicated system to get satisfactory effect The combined models of fuzzy and PID control are discussed. The conventional composite controllers which comprise fuzzy and PID control are designed. The designed controllers are simulated based on real hydroelectric plant model and the effect of every combined model is discussed. In order to obtain better control effect, genetic algorithms and artificial neural network are employed.
出处
《水力发电》
北大核心
2006年第3期70-72,86,共4页
Water Power
基金
国家自然科学基金资助项目(50409010)
