电机在运行中受负荷和环境参数的扰动而速度不稳定,如不及时克服和调整,将使电机发生抖震,也影响系统的稳定.因此给出了一种针对电机调速过程的有效的控制算法.采用Tacagi-Sugeno分段模糊化再进行连接的方法,用局部的模糊线性模型集合来代替整体的非线性模型,完成了模糊模型辨识,并基于此给出了模糊自适应预测控制算法,使得电机的输出速度保持动态稳定;为保证控制的动态跟踪功能引进了变结构控制;对于提出的算法给出了稳定性和鲁棒性设计.实际应用结果表明,所给的控制方案适合于一类不确定动态过程的有效控制.

The load changed of motor affects normal run. If it is not adjusted, the state of motor will become poor, while it affects steady of the system. This paper presents an efficient method for the motor speed controlling, it applies Tacagi-Sugeno's method that each linear submodels are connected for fuzzy algorithm, an algorithm of the fuzzy model identifying and fuzzy control is fulfilled through whole nonlinear model which are replaced with local linear models. It makes speed of motor to maintain steady, and variable structure control is applied to guarantee performance of dynamic flowing for process controlled, the design of stability and robustness is proposed in the scheme. Practice running results show that it is efficient that uncertain dynamic processes are controlled.

TP273.2