Modeling and Control Approach to Coupled Tanks Liquid Level System Based on Function‐Type Weight RBF‐ARX Model |
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| Authors: | Feng Zhou Hui Peng Xiaoyong Zeng Xiaoying Tian Jun Wu |
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| Affiliation: | 1. School of Information Science and Engineering, Central South University, Changsha, Hunan, China;2. Collaborative Innovation Center of Resource‐conserving & Environment‐friendly Society and Ecological Civilization, Changsha, Hunan, China;3. Changsha University of Science and Technology, Changsha, Hunan, China |
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| Abstract: | A multi‐input multi‐output (MIMO) FWRBF‐ARX model, which adopts radial basis function (RBF) neural networks with function‐type weights (FWRBF) to approximate the coefficients of the state‐dependent AutoRegressive model with eXogenous input variables (SD‐ARX), is utilized for describing the dynamics of a coupled tanks liquid system. Based on local linearization information of the MIMO FWRBF‐ARX model, a predictive control strategy is proposed. In the algorithm, the control actions of the model predictive control (MPC) are calculated based on the local linearization of the MIMO FWRBF‐ARX model at current working point. Real‐time control experiments are carried out on the coupled tanks liquid system. The detailed comparative experiments demonstrate the feasibility and effectiveness of the proposed modeling and model‐based control strategy for the coupled tanks plant. |
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| Keywords: | Coupled tanks system liquid level control function‐type weight RBF network model predictive control real‐time control |
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