Nonlinear Model Predictive Control with Input-output Linearization

摘要：

Constituting reliable optimal solution is a key issue for the constrained non-linear predictive control. Input/output feedback linearization is a popular method in nonlinear control. By using a non-linear feedback linearizing controller, the original linear input constraints will change to non-linear and state dependent constraints. Considering the state-space continuous-time system, this paper presents an NMPC algorithm to calculate exactly the first control move, which is actually implemented, and to approximate the rest of the control moves, which are not implemented. Simulation results the CSTR demonstrate the effectiveness of the proposed method.

关键词： Nonlinear Continuous-time system Model predictive control Input/output feedback linearization

作者: Xiao-Bing Kong Ying-jie Chen Xiang-Jie Liu

作者单位: The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North C The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North C

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 688-693

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）