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《中国化学工程学报(英文版)》 2012-06
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Partially Decentralized Controller Design via Model Predictive Control

HAO Yuchun 1, ** , LI Qiang 1 , TAN Wen 1 and LI Donghai 2 1 School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China 2 State Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China  
An expansion procedure to design partially decentralized controllers via model predictive control is proposed in this paper. Partially decentralized control is a control structure that lies between a fully decentralized structure and a fully centralized one, and has the advantage of achieving comparable performance as a fully centralized controller but with simpler structure. The proposed method follows the expansion method proposed in a previous paper where internal model control (IMC) was used to design controllers for non-square subsystems. The method requires computing the pseudo-inverse of a non-square matrix via pseudo-inverse factors. Instead, the proposed method uses dynamic matrix control (DMC) to design PID controllers for non-square subsystems without using additional factors. The effectiveness of the proposed method is demonstrated on several chemical examples. Simulation results show that the proposed method is simple and can achieve better performance.
【Fund】: Supported by the National Natural Science Foundation of China (61174096);; the Natural Science Foundation of Beijing(4122075);; the Natural Science Foundation of Hebei Province (F2011502069)
【CateGory Index】: TP13
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