摘要
针对传统 PID 控制不能同时获得较佳的动静态性能和一些非线性 PID 控制需构造合适的非线性函数和附加参数调整等问题,提出了将一维模糊控制器与 PID 控制器相级联构成了一个新型模糊非线性 PID 控制器。该一维模糊控制器只需用五条控制规则,实现了输入与输出的非线性增益关系,并且模糊非线性 PID 控制器利用原有的 PID 控制参数,易于实现。同时针对一类参数不确定的被控对象。
The conventional PID controller usually can’t acquire the high performances of dynamic state and steady state simultaneously. In addition, some nonlinear PID controller need select a suitable nonlinear function and adjust some additional parameters. In the light of those problems, a new type of fuzzy nonlinear PID controller which consists of one dimensional fuzzy inference and a conventional PID controller is proposed. The fuzzy inference which has only five simple control rules can obtain nonlinear gain of input and output. The fuzzy nonlinear PID controller also can adopt the original parameters of PID controller, so it is easy to be realized. The criteria with which to evaluate the uncertain parameters plant based on Monte Carlo method which is to compare the performances and robustness of different control system is also presented. Finally, The simulation results of the controller that we propose have superior performances to conventional PID and other nonlinear PID controllers.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2004年第5期651-654,共4页
Journal of Liaoning Technical University (Natural Science)
基金
浙江省自然科学基金资助项目(M603169)
