摘要
将Smith预估器和内模控制结构结合起来 ,利用模糊控制方法研究出一种智能控制器 ,能在一定的模型误差范围内得到良好的控制品质。主要控制量来源于模糊控制器 ,通过智能积分对模糊控制器不能消除的稳态误差进行克服 ,并对系统性能进行监测 ,使用模糊控制对控制量进行校正。经仿真研究发现 ,这种智能控制器在一定的模型误差范围内有很好的鲁棒性 ,稳态误差为 0。
Combined with smith pre estimate controller and the intenal model controller, this article presents an intelligent controller which can get better controlling performance within some range of model error with fuzzy method. The main control input comes from the fuzzy controller, at the same time to get rid of the state error through intelligent integrator. Further more, it can adjust model error by adding fuzzy adjuster through monitoring the system performance. From the simulation, we find the intelligent controller can get good robustness in some range of model error and the state error is zero.
出处
《基础自动化》
CSCD
2002年第2期44-46,共3页
Basic Automation