An adaptive fuzzy design for fault-tolerant control of MIMO nonlinear uncertain systems

被引:57
作者
Li P. [1 ,2 ]
Yang G. [2 ]
机构
[1] College of Information Science and Engineering, Huaqiao University
[2] College of Information Science and Engineering, Northeastern University
来源
Journal of Control Theory and Applications | 2011年 / 9卷 / 2期
基金
中国国家自然科学基金;
关键词
Adaptive fuzzy control; Backstepping; Fault-tolerant control; MIMO nonlinear system;
D O I
10.1007/s11768-011-8167-x
中图分类号
学科分类号
摘要
This paper presents a novel control method for accommodating actuator faults in a class of multiple-input multiple-output (MIMO) nonlinear uncertain systems. The designed control scheme can tolerate both the time-varying lock-in-place and loss of effectiveness actuator faults. In each subsystem of the considered MIMO system, the controller is obtained from a backstepping procedure; an adaptive fuzzy approximator with minimal learning parameterization is employed to approximate the package of unknown nonlinear functions in each design step. Additional control effort is taken to deal with the approximation error and external disturbance together. It is proven that the closed-loop stability and desired tracking performance can be guaranteed by the proposed control scheme. An example is used to show the effectiveness of the designed controller. © 2011 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:244 / 250
页数:6
相关论文
共 23 条
[1]  
Boskovic J.D., Mehra R.K., Stable multiple model adaptive flight control for accommodation of a large class of control effector failures[C], Proceedings of the American Control Conference, pp. 1920-1924, (1999)
[2]  
Zhang X.D., Parisini T., Polycarpou M.M., Adaptive faulttolerant control of nonlinear uncertain systems: an information-based diagnostic approach[J], IEEE Transactions on Automatic Control, 49, 8, pp. 1259-1274, (2004)
[3]  
Zhang X., Liu Y., Rysdyk R., Et al., An intelligent hierarchical approach to actuator fault diagnosis and accommodation[C], IEEE Aerospace Conference, pp. 1-14, (2006)
[4]  
Xue H., Jiang J.G., Fault detection and accommodation for nonlinear systems using fuzzy neural networks[C], CES/IEEE 5th International Power Electronics and Motion Control Conference, pp. 1-5, (2006)
[5]  
Ye D., Yang G., Adaptive fault-tolerant tracking control against actuator faults with application to flight control[J], IEEE Transactions on Control Systems Technology, 14, 6, pp. 1088-1096, (2006)
[6]  
Tao G., Chen S., Tang X., Et al., Adaptive Control of Systems with Actuator Failures[M], (2004)
[7]  
Tang X., Tao G., Joshi S.M., Virtual grouping based adaptive actuator failure compensation for MIMO nonlinear systems[J], IEEE Transactions on Automatic Control, 50, 11, pp. 1775-1780, (2005)
[8]  
Tang X., Tao G., Joshi S.M., Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application[J], Automatica, 43, 11, pp. 1869-1883, (2007)
[9]  
Li P., Yang G., Adaptive fuzzy control of unknown nonlinear systems with actuator failures for robust output tracking[C], Proceedings of the American Control Conference, pp. 4898-4903, (2008)
[10]  
Li P., Yang G., Adaptive fuzzy fault-tolerant control for unknown nonlinear systems with disturbances[C], Proceedings of the 47th IEEE Conference on Decision and Control, pp. 417-422, (2008)