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Adaptive fuzzy output feedback controller design for a HAGC system with input saturation and output error constraints
Institution:1. School of Science, Yanshan University, Qinhuangdao, 066004, China;2. Ocean College, Hebei Agricultural University, Qinhuangdao, 066003, China;3. School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China;1. School of Mathematics, Shanghai University of Finance and Economics, Shanghai, 200433, Shanghai, China;2. School of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, 210023, Jiangsu, China;3. MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, Hunan, China;4. Key Laboratory of Control and Optimization of Complex Systems, Hunan Normal University, College of Hunan Province, Changsha 410081, China;1. School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu 241000, China;2. College of Information Science and Technology, Donghua University, Shanghai 201620, China;3. Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai 201620, China;4. Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;1. College of Electrical Engineering, North China University of Science and Technology, Tangshan, China;2. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China;3. Department of Electrical Engineering, Yeungnam University, Kyongsan, Republic of Korea;1. School of Mathematical Sciences, University of Jinan, Jinan 250022, China;2. College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, China;1. School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;2. Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, University of Electronic and Technology of China, Chengdu 611731, China;3. Department of Computer Science and Technology, Faculty of Science and Engineering, University of Hull, HU6 7RX, UK
Abstract:The comprehensive effect of external disturbance, measurement delay, unmeasurable states and input saturation makes the difficulties and challenges for a HAGC system. In this paper, an adaptive fuzzy output feedback control scheme is designed for a HAGC system under the simultaneous consideration of those factors. At the first place, by state transformation technique, the dynamic model of a HAGC system is simply expressed as a strict feedback form, where measurement delay is converted into input delay. Then, an auxiliary system is employed to compensate for the effect of input delay. Furthermore, an asymmetric barrier Lyapunov function (BLF) is constructed to ensure the output error constraint requirement of thickness error and the fuzzy observer is established to solve unmeasurable states, unknown nonlinear functions at the same time. With the aid of backstepping method, adaptive fuzzy controller is developed to assure that the closed-loop system is semi-globally boundedness and the output error of thickness error doesn’t violate its constraint. At the end, compared simulations are carried out to verify the efficiency of the proposed control scheme.
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