Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer |
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| Authors: | Zehui Mao [Author Vitae] [Author Vitae] Peng Shi [Author Vitae] |
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| Affiliation: | a College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, PR Chinab Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, CF37 1DL, UKc School of Engineering and Science, Victoria University, Melbourne 8001, Australiad School of Mathematics and Statistics, University of South Australia, Adelaide 5095, Australia |
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| Abstract: | In this paper, a fault-tolerant control (FTC) scheme is developed for a class of nonlinear sampled-data systems. First, a Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method. |
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| Keywords: | Fault-tolerant control Fault estimation Adaptive control Nonlinear sampled-data systems |
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