PSO-based intelligent integration of design and control for one kind of curing process |
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| Authors: | Xin Jiang Lu Han-Xiong Li Xiang Yuan |
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| Affiliation: | a School of Mechanical & Electrical Engineering, Central South University, Hunan, China;b Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;c College of Automobile & Mechanical Engineering, Changsha University of Science & Technology, Hunan, China |
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| Abstract: | In this paper, a PSO-based intelligent integration of design and control is proposed for one kind of nonlinear curing process. This method combines the merits of both fuzzy modeling/control and PSO method, where fuzzy modeling/control is proposed to approximate/control the nonlinear process in a large operating region and the PSO-based intelligent optimization method is developed to solve non-convex and non-differential integration problem with design and control optimized simultaneously. Finally, the proposed method is compared with the traditional sequential method on controlling the temperature profile of a nonlinear curing process. |
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| Keywords: | Integration of design and control Fuzzy modeling Fuzzy control Particle swarm optimization (PSO) Curing process |
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