Sliding Mode Predictive Control for Networked Control Systems

摘要：

For solving the problem of network-induced delay, uncertain parameters and outer disturbances in networked control systems (NCS), a novel adaptive fuzzy sliding mode predictive control (AFSMPC) method is proposed in this paper. The presented sliding mode surface includes a predictor to compensate for the network-induced delay of the NCS. Then, a fuzzy logic system is designed to mimic the good behaviour of a total sliding-mode predictive control system. And the designed adaptive algorithms are developed in the sense of the Lyapunov stability theorem, so that system-tracking stability can be guaranteed. Finally, the proposed control scheme is applied to the networked launch vehicle attitude control system, and its advantages are indicated in network-induced delays compensated, reduced chattering, stable performance and robustness to uncertainties.

关键词： networked control systems global sliding mode control attitude control fuzzy control

作者: Lijie Xu Qing Wang Yu Chen Chaoyang Dong

作者单位: School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astron School of Aeronautic Science and Engineering Beijing University of Aeronautics and Astronautics Beij

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 235-238

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）