Control Horizon Estimation of Input Constrained MPC Based on Control Saturation

摘要：

This paper gives two new algorithms for estimating the upper bound of the control horizon for input constrained model predictive control (MPC)problem based on the input saturation and the K -step null-controllable region.The input saturation must occur at one time,which is considered in estimating the control horizon.The state within the polytope can be expressed by a convex combination of the vertices of one facet of the polytope and these vertices are considered to compute the global upper bound.The proposed algorithms are compared with others by an example and the results show that the methods of this paper have the less conservative estimation of the control horizon.

作者: SUN Yong ZHANG Maorui ZHANG Ze

作者单位: Center for Control Theory and Guidance Technology,Harbin Institute of Technology,Harbin 150001,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）