Simultaneous fault estimation and fault-tolerant tracking control for uncertain nonlinear discrete-time systems

Meng Zhou, Zhenhua Wang and Yi Shen

International Journal of Systems Science, 2017, vol. 48, issue 7, 1367-1379

Abstract: This paper deals with simultaneous fault estimation and control for a class of nonlinear systems with parameter uncertainty, which is described by Takagi–Sugeno (T–S) fuzzy model with parameter uncertainties and unknown disturbance. In this paper, a fuzzy reference model is used to generate error dynamic for tracking control. By considering actuator fault as an auxiliary state vector, we construct an augmented error system and propose a fault estimator/controller to achieve simultaneous fault estimation and fault-tolerant tracking control. H∞ approach is used in the design of estimator/controller to attenuate the effect of the unknown disturbance and parameter uncertainties. The design conditions are formulated into a set of linear matrix inequalities (LMIs), which can be efficiently solved. Finally, a pitch-axis nonlinear missile model is used to illustrate the effectiveness of the proposed method.

Date: 2017
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DOI: 10.1080/00207721.2016.1258596

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