A Fast GPC Algorithm with Output Penalty

摘要：

Aiming at decreasing the input and output fluctuations of controlled plant,an improved GPC algorithm is proposed.Firstly,an output increment penalty term is added into objective function for inhibiting output fluctuations and the overshoot.Secondly,the predictive control law is softened to restrain input fluctuations and improve control performance.Finally,a Toeplitz prediction equation is introduced to avoid the iterative calculation resulting from solving Diophantine equation in the traditional GPC algorithm.The Toeplitz prediction equation gives the linear relationship among past input/output,future input and the predictive output,and then the future control variables can be solved directly.The simulation results show that the algorithm can decrease the output and input fluctuations,increase the anti-interference ability and reduce online calculation time.

作者: Wei Zhang Bin Liu Kangling Fang

作者单位: Engineering Research Center for Metallurgical Automation and Detecting Technology Ministry of Education,Wuhan University of Science and Technology

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）