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Event-triggered asynchronous sliding mode control of CSTR based on Markov model
Authors:Fanbiao Li  Xiuying Cao  Can Zhou  Chunhua Yang
Institution:1. School of Automation, Central South University, Changsha 410083, China;2. State Key Laboratory of High Performance Complex Manufacturing;1. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China;2. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China;3. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;1. School of Information and Control Engineering, Qingdao University of Technology, China;2. School of Automation, Qingdao University, China;1. College of Electrical Engineering and Control Science, Nanjing Technology University, Nanjing 211816, China;2. School of Automation, Southeast University, Nanjing 210096, China;3. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyonsan 38541, Republic of Korea;1. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian 116024, PR China;2. School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, PR China
Abstract:In this paper, an asynchronous sliding mode control design method based on the event-triggered strategy is proposed for the continuous stirred tank reactor (CSTR) under external disturbance. Firstly, with the purpose of appropriately modeling the multi-mode switching phenomenon in the CSTR caused by the fluctuation of temperature and concentration, the Markov process is applied. Secondly, the asynchronous switching characteristics are introduced to describe mismatch between the controller and the system, which caused by some factors such as signal transmission delay and packet dropout. In order to effectively estimate the system states that cannot be measured in real time, an observer based on the event-triggered strategy is proposed, which also can reduce the computational cost. In addition, a sliding mode controller is designed to ensure the dynamic stability and the sliding dynamics is reachable in a finite time. Finally, the effectiveness of the proposed method is verified by simulation experiments.
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