Robust 2DoF PI tuning rules for integrating processes with dead time via frequency response model matching |
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| Affiliation: | 1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China;2. Departament de Telecomunicació i d''Enginyeria de Sistemes, Escola d''Enginyeria, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain;3. School of Information and Communication Engineering, Hainan University, Haikou, 570228, Hainan, China;1. Dynamic Systems and Simulation Laboratory, Technical University of Crete, Chania, 73100, Greece;2. Dept. of Mathematics, National Technical University of Athens, Zografou Campus, 15780, Athens, Greece;3. Faculty of Maritime and Transportation, Ningbo University, Ningbo, China;1. Zhengzhou University of Aeronautics, Zhengzhou, Henan 450046, China;2. School of Automation, Hubei University of Science and Technology, Xianning Avenue 88, Xianning, Hubei Province, 437100, P. R. China;1. Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain;2. Department of Statistics and Operational Research, Universitat de València, Dr. Moliner 50, Burjassot, 46100, Spain;1. LAJ Laboratory, University of Jijel, Algeria;2. Université Paris-Saclay, Univ Evry, IBISC, Evry 91020, France;1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;2. Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Ministry of Education, China;3. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
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| Abstract: | The integrating characteristics are commonly found in composition control and level control of a distillation column in chemical processes. This paper presents a simple and intuitive robust tuning method of two-degree-of-freedom (2DoF) proportional-integral (PI) controller for integrating processes with dead time. The frequency response model matching approach is utilized with performance and robustness considerations for both regulatory and servo control issues. The regulatory control issue aims at matching the frequency response of the closed-loop system with that of the reference model for disturbance rejection, where the feedback controller parameters are calculated by solving a group of overdetermined algebraic equations subject to a robustness constraint evaluated by the maximum sensitivity. The target of the servo response is to follow a prescribed set-point reference trajectory, with the set-point weighting factor tuned to satisfy a defined tracking performance metric. A curve fitting procedure is utilized to generate analytical tuning rules in terms of the process model parameters and the desired robustness specification. It is shown that, apart from giving more exact achievement of the control system robustness, the tuning rules presented work well for a wider range of process dynamics than the existing methods. Illustrative examples are given to show the effectiveness of the proposed method. |
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