Improved PI controller based on predictive functional control for liquid level regulation in a coke fractionation tower |
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| Affiliation: | 1. Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China;2. Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;1. N. H. Andreas Co., Inc., P.O. BOX 3651, Cartersville, GA 30120, USA;2. Mathematical Sciences Department, O224 Martin Hall, Clemson University, Clemson, SC 29634-0975, USA;3. Fuji Filter Manufacturing Co., Ltd., 2-3-4, Nihonbashi, Chuo-ku, Tokyo 103-8308, Japan;1. Institute of Applied Research, Karlsruhe University of Applied Sciences, Moltkestraße 30, 76133 Karlsruhe, Germany;2. Institute of Applied Materials Reliability of Components and Systems, Karlsruhe Institute of Technology, Engelbert-Arnold-Straße 4, 76131 Karlsruhe, Germany;3. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, South Korea;1. Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States;2. Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States |
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| Abstract: | Due to limitations of hardware, cost and so on, the application of proportional-integral-derivative (PID) control is more convenient than predictive control. However, predictive control usually has better performance than traditional PID control, thus it is important to combine the advantages of these two control algorithms. A novel PI controller optimized by predictive functional control (PFC) is proposed and tested on liquid level in the industrial coke fractionation tower in this paper. Since this kind of process always shows the integrating behavior, a P controller is first used for it to generate a self-balancing generalized process, then the PFC based PI control is designed for the generalized process. The resulting controller displays the performance of both PFC and PI control with easy implementation in practice. The performance of the proposed PI controller is compared with traditional PI controller in terms of regulatory/servo set-point tracking, disturbance rejection and measurement noise issues, from which results show that the proposed PI controller provides better performance than traditional PI controller. |
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| Keywords: | Predictive functional control PI controller Liquid level regulation Industrial coke fractionation tower |
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