Study on Algorithm of Constraint Multivariable Generalized Predictive Control Based on Multi-Objective Programming

摘要：

To the multivariable system, when the input variables were constrained in the whole predictive horizon, we presented a Generalized Predictive self-tuning Control algorithm (MGPC), the algorithm is to solve the controller using the identification results and not to compute the Diophantine equation on line. It reduces the computation. Then we linearized the quadratic performance index of MGPC, in order to avoid to get unfeasible solutions by using linear programming, Multi-objectives programming was used to solve the restraint problem of MGPC. It simplified the designing of control system. The simulation result was given and showed that this control scheme was effective and the input variables are bounded within the constraint value.

作者: Xiuxia LIANG Yanhua QIAO Yan ZHANG Zengqiang CHEN Zhuzhi YUAN

作者单位: Hebei University of Technology, China Nankai University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）