Chattering-free model free adaptive sliding mode control for gas collection process with data dropout |
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Affiliation: | 1. School of Electrical Engineering & Automation, Henan Polytechnic University, Jiaozuo, China;2. School of Automation, Qingdao University, Qingdao, China;1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China;2. School of Automation, Qingdao University, Qingdao 266071, China;1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, PR China;2. State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang, Liaoning 110819, PR China |
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Abstract: | Stable pressure control of coke oven gas collectors is difficult due to the problems of nonlinearity, couplings, time-variation, disturbances and data-dropout. This paper proposes a novel chattering-free model free adaptive sliding mode control scheme for the gas collection process of coke ovens. Unlike the conventional data-driven sliding mode control approaches, the proposed controller is based on the data-dropout compensation scheme and predictive control strategy, whereby a novel data-driven sliding surface estimator and a new data-driven sliding mode prediction model are developed to facilitate the controller design. On one hand, the effect of data dropout could be attenuated by applying the proposed estimator. On the other hand, a chattering-free smooth control law with strong robustness to couplings, time-variation and disturbances is obtained owing to the application of the predictive control strategy and the sliding mode control technique. In addition, the convergence of the proposed algorithm could be guaranteed theoretically. Finally, experimental results soundly confirm the efficacy and superiority of the developed approach. |
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Keywords: | Data-driven sliding mode control Gas collection process Predictive control Data dropout Robustness |
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