【摘要】 模糊控制器中的控制规则一般都是人们对在控制过程中所认识的模糊信息的归纳与总结,这往往都伴有主观因素,使得其在高阶次、时变性及随机干扰等情况下对被控系统的控制效果不完善.针对这一问题,提出了基于混沌理论优化自适应模糊PID控制器中的可调整因子的算法.仿真结果表明,改进后的模糊PID控制器在超调量、调节时间上均有改善,说明此控制器具有更加良好的动静态性能.更多还原

【Abstract】 Control rules of fuzzy controller are generally known by the induction and summary of information in the fuzzy control in the control process. This is generally accompanied by subjective factors and makes the effect of the controlled system imperfect under the high order time,time-varying and stochastic interference. In order to solve the problem,this paper presents the adjustable factor algorithm of adaptive fuzzy PID controller based on chaos theory to get better performance. Simulation results show that the improved fuzzy PID controller is improved in regulating time and overshoot,so this controller has good dynamic and static performance.更多还原