Fuzzy goal-driven intelligent control for satellite environmental qualification |
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| Authors: | Ernesto Araujo Karl Kienitz Sandra Sandri |
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| Affiliation: | 1. Integration and Testing Laboratory (LIT), Instituto National de Pesquisas Espaciais (INPE), São José dos Campos, SP, Brazil;2. Health Informatics Department (DIS), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil;3. Hospital Municipal Dr. Jose de Carvalho Florence (HMJCF), São José dos Campos, SP, Brazil;4. Assoc. Paulista para o Desenvolvimento da Medicina (SPDM), São Paulo, SP, Brazil;5. Department of Electronics Engineering – IEE, Instituto Tecnologico de Aeronáutica – ITA, São José dos Campos, SP, Brazil;6. Research Institute in Artificial Intelligence – IIIA, Consejo Superior de Investigation Cientificas – CSIC, E-08193 Bella Terra, Barcelona, Spain;1. Dept. of Mechanical Eng., Chung Yuan Christian Univ., Chung Li 32023, Taiwan;2. Institute of Photonic Systems, National Chiao Tung Univ., Tainan 71150, Taiwan;3. Lextar Electronics Corp., Hsinchu 30075, Taiwan;4. Procrystal Technology Co. Ltd., Yilan 27049, Taiwan;1. Istituto Italiano di Tecnologia, Via Morego 30, Genova, Italy;2. CNRS, LAAS, 7 avenue du colonel Roche, Univ de Toulouse, F-31400 Toulouse, France;1. Space Control and Inertial Technology Research Center, Research Center of Satellite Technology, Harbin Institute of Technology, Harbin, 150001, PR China;2. Center for Composite Materials and Structures, Harbin Institute of Technology, Harbin, 150001, PR China;1. Department of Systems, Information and Control Engineering, National Institute of Technology, Asahikawa College, 2-2-1-6 Shunkodai, Asahikawa, Hokkaido 071-8142, Japan;2. Advanced Courses of Production System Engineering, National Institute of Technology, Asahikawa College, Japan;1. College of Applied Sciences, Beijing University of Technology, Beijing 100124, PR China;2. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China;3. Research and Development Department, China Academy of Launch Vehicle Technology, Beijing 100076, PR China;4. The Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, PR China |
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| Abstract: | This paper reports on the application of Fuzzy Reference Gain-Scheduling Control (FRGS) to control a thermal-vacuum unit that emulates space environmental conditions for satellite and space device qualification. FRGS is a variation of fuzzy control that changes the controller gain surface in accordance to distinct operational conditions established by the reference (goal). This system allows to incorporate the experience of human operators by emulating human decision-making and reasoning, with the advantage of adaptation when parameters are adjusted on-line. The controller gain surface is adapted by modifying the shapes of the membership functions according to piecewise constant reference values. While the goal-driven adjustment is accomplished in a feedforward manner, feedback control technique is used to guarantee dynamical response. The experimental response obtained in the application to the real system has shown the effectiveness and flexibility of this control approach for such a nonlinear system. |
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