Nonlinear Model Predictive Control Algorithm Based on Filter-trust-region Method

摘要：

In this paper, a filter-trust-region method is used in nonlinear model predictive control (NMPC) problem. By means of simultaneous approach based on nonlinear programming, an SQP sub-problem, which treats the iterate step ..u as an optimal variable, is built. After that, a trust region quadratic programming approach is used to solve the sub-problem, and the filter method is used to decide whether the trial point is better or not as an approximate solution to the optimization problem. And the Hessian matrix update method can also keep the sparse structure which is used to reduce the computational complexity. At last, the simulation result proves that the nonlinear predictive control algorithm based on filter-trust-region SQP method can get feasible solution within limited iterations at each time instant.

关键词： Predictive control Nonlinear programming Sequential Quadratic Programming Trial point Filter-trust-region method

作者: ZHAO Min SONG Pingping

作者单位: Department of control science and technology, University of Shanghai for science and technology, Shanghai 200010, P.R.China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 4069-4074

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）