基于响应函数的模糊控制策略研究

常规P ID控制器对复杂系统而言控制效果往往不是很好，而模糊逻辑无需精确数学模型和离线训练学习。这两种控制方法相结合，就可扬长避短，实现低成本、易维护的在线自适应控制。为此，论文针对非线性系统特点，深入探讨基于模糊逻辑和常规P ID的控制策略。通过实验室仿真实验，分析比较这些控制方法的定值跟踪性能和干扰抑制性能优劣。并以此为基础，建立了一种新的PID型模糊控制策略。通过偏差响应函数，实现了自适应调节相互并联的模糊PID和常规P ID控制回路输出的目的。仿真实验结果表明，该P ID型模糊控制策略定值跟踪性能和干扰抑制性能都得到了保证，取得了较好的控制效果。

Fuzzy Control Strategy Based on Response Function

The general PID controller is usually not suitable for complex system ,and the fuzzy logic doesn＆#39;t need pre-cise mathematic model and off-line training .Combined with these two kinds of control methods ,the online adaptive control will realize ,which is avoiding weakness ,low cost ,and easy maintenance .In this paper ,based on the general PID and the fuzzy logic ,the control strategy is discussed deeply for nonlinear system .Simulation results of the control performance in fixed value tracking and disturbance restrain are analysed and compared .Then ,a novel PID fuzzy control strategy is put for-ward .The output of parallel connected Fuzzy-PID and general PID loops is adaptively adjusted with the error response func-tion .Simulation results indicate that a better control performance in fixed value tracking and disturbance restrain is achieved for this PID fuzzy control strategy .