The composite-disturbance-observer based stochastic model predictive control for spacecrafts under multi-source disturbances |
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| Institution: | 1. School of Astronautics, Northwestern Polytechnical University, 710072, China;2. School of Computing, University of Portsmouth, Portsmouth PO1 3HE, U.K;1. Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;2. Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116024, China;1. School of Measurement and Communication, Harbin University of Science and Technology, Harbin 150080, China;2. School of Science, Harbin University of Science and Technology, Harbin 150080, China;3. School of Automation, Harbin University of Science and Technology, Harbin 150080, China;4. Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems, Harbin University of Science and Technology, Harbin 150080, China;1. College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China;2. Department of Mathematics, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia |
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| Abstract: | In this paper, the attitude control problem of the spacecraft system under input/state constraints and multi-source disturbances is investigated. A novel estimation method, composite-disturbance-observer (CDO), is proposed to provide an estimate for both modeled and unmodeled disturbances in an online manner. Based on the estimates provided by the CDO, the composite stochastic model predictive control (C-SMPC) scheme is designed for attitude control. The recursive feasibility of the C-SMPC method is guaranteed by reformulating the state and input constraints. Furthermore, the sufficient conditions are established to guarantee the stability of the overall closed-loop system. Finally, the simulation on the attitude control of the spacecraft is conducted to verify the effectiveness of the proposed method. |
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