Distributed fuzzy learning sliding mode cooperative control for non-affine nonlinear multi-missile guidance systems via a prescribed performance observer |
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| Institution: | 1. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, PR China;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, PR China;3. Zhongguancun Laboratory, Beijing 100190, PR China;4. School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, PR China;5. Institute of Artificial Intelligence, Beihang University, Beijing 100191, PR China;1. School of Cyber Science and Engineering, Sichuan University, Chengdu 610065, China;2. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;3. School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu 610106, China;4. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610050, China;1. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;2. School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330013, China;3. School of Mechano-electronic Engineering, Xidian University, Xi’an 710071, China;1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;2. Seventh Research Division, Beihang University, Beijing 100191, China;1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China;2. Beijing Institute of Astronautical Systems Engineering, Beijing, China;1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266510, China;2. School of Engineering and Advanced Engineering Platform, Monash University Malaysia, Bandar Sunway, Selangor 46150, Malaysia |
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| Abstract: | This paper focuses on the distributed fuzzy learning sliding mode cooperative control issue for non-affine nonlinear multi-missile guidance systems. The dynamics of each follower is non-affine form with unknown lumped factor. To estimate the unknown lumped factor, a generalized fuzzy hyperbolic model (GFHM) based prescribed performance observer (PPO) is proposed. Different from the traditional disturbance observers, a residual set of error transient behavior is incorporated additionally so that the peak phenomenon can be avoided. Meanwhile, an auxiliary system is employed to convert the system of each follower to augmented affine form. Then, a distributed fuzzy learning sliding mode cooperative control approach is designed which consists of two parts. The adaptive sliding mode control (SMC) part is designed to force the states to move along the predefined integral sliding surface. For the equivalent sliding dynamics, the distributed optimal control part with GFHM is developed to minimize the cooperative performance function. Thus, the stability and the optimality of the closed-loop system are guaranteed synchronously. Finally, all signals of closed-loop system are rigorously proved bounded and the multi-missile cooperative guidance scenario is applied to verify the effectiveness of proposed method. |
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