Sliding mode learning control for T-S fuzzy system and an application to hypersonic flight vehicle |
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Authors: | Xiaoxiang Hu Chenguang Guo Changhua Hu Bing He |
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Affiliation: | 1. School of Automation, Northwestern Polytechnical University, Xi'an, 710072 China;2. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072 China;3. 203 Unit, Xi'an Research Institute of High Technology, Xi'an, 710025 China;4. 101 Unit, Xi'an Research Institute of High Technology, Xi'an, 710025 China |
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Abstract: | Sliding mode-based learning control is presented for T-S fuzzy system. A T-S fuzzy model with both uncertainties and unmodeled dynamics is proposed firstly, in which the information of uncertainties and unmodeled dynamics are assumed to be unknown. Then, according to a given reference model, state-tracking error system is built. Respecting facts, the input matrices of the built T-S fuzzy model are different from each other. An extended state observer is built for estimating the unknown uncertainties and unmodeled dynamics, and a corresponding sliding surface is proposed. A learning controller is then presented for the closed loop system. Moreover, a numerical simulation result on hypersonic flight vehicles is considered to testify the controller's availability. |
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Keywords: | hypersonic flight vehicles sliding mode leaning control T-S fuzzy model |
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