Research on Sliding-mode Control for Second-order Nonlinear System Based on Generalized T-S Fuzzy Model System

摘要：

In order to decrease the tracking error within the reference signals boundary region and obtain better tracking performance when the controlled object is tracking the reference signal, the adaptive fuzzy sliding-mode controller and the parameters adjusting law were designed aiming at the uncertain second order nonlinear system without the supervisory control and boundary control according to the generalized gauss membership functions adaptability for the control sensitivity and the generalized T-S fuzzy logic systems performance of approximation after taking account of the control sensitivitys requirement for the membership functions figure, then, the modeling error was conquered and compensated, and the tracking performance within the reference signals boundary was effectively improved. After comparing the T-S fuzzy model based on the gauss membership function, the control system, which is based on the generalized T-S fuzzy model and is closed loop stabilization, can converge the tracking error to a smaller neighborhood. The simulation experiments of tracking sinusoidal signal on the second subsystem of the inverted pendulum show that the effect on improving tracking performance is prominent and the controllers design is reasonable and available.

关键词： generalized T-S fuzzy model second-order nonlinear system fuzzy sliding-mode control adaptive control

作者: Bin Zhong Xiaofang Wang

作者单位: Equipment Transportation Department Engineering College of Chinese Armed Police Force Xian, China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 547-551

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）