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Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties
Affiliation:1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, PR China;2. Institute of Particle Science and Engineering, School of Process, Environmental and Materials Engineering, University of Leeds, Leeds LS2 9JT, UK;3. School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, PR China;4. Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, 32023, Taiwan;1. Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi 214122, PR China;2. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Szafrana 2, 65-516 Zielona Góra, Poland;3. Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom;1. School of Automation & Electronic Engineering, Qingdao University of Science & Technology, Qingdao 266042, PR China;2. Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong University, Beijing 100044, PR China;1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;2. Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;1. School of Automation & Electronics Engineering, Qingdao University of Science & Technology, Qingdao 266042, PR China;2. Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong University, Beijing 100044, PR China;3. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada T6G 2G6;1. School of Automation & Electronics Engineering, Qingdao University of Science & Technology, Qingdao 266042, PR China;2. School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266042, PR China;3. Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong University, Beijing 100044, PR China;4. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2G6, Canada
Abstract:
Keywords:Batch process  Iterative learning control (ILC)  Proportional-integral-derivative (PID) controller  Time-varying uncertainty  Robust H infinity control objective
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