Fuzzy Adaptive Robust Fault-Tolerant Control for Uncertain Nonlinear Systems Based on Small-Gain Approach
In this paper, fuzzy adaptive robust control approaches and fault-tolerant algorithms are proposed for single-input-single-output (SISO) nonlinear systems with the nonlinear uncertainties, actuators faults, unmodeled dynamics and dynamic uncertainties. The unknown nonlinear functions are not linearly parameterized and have no prior knowledge of the bounding. Fuzzy logic systems are used to approximate the nonlinear uncertainties and the unknown fault function and by combining backstepping technique with a small-gain approach, a stable fuzzy adaptive backstepping robust fault-tolerant control has been proposed. It is proven that the proposed fuzzy adaptive control approach can guarantee that all the solutions of the closed-loop systems are semi-globally uniformly ultimately bounded. The effectiveness of the proposed approach is illustrated form simulation results.
Fault-tolerant control Nonlinear system Fuzzy adaptive control Backstepping technique Small-gain approach Unmodeled dynamics Dynamic uncertainties
He Xianglei Tong Shaocheng Zhang Wei
Department of Mathematics, Liaoning University of Technology Jinzhou, 121001, China. Department of Mathematics, Liaoning University of TechnologyJinzhou, 121001, China.
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1773-1778
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）