会议专题

Model-free Predictive Control of Nonlinear Systems Based on Linearization of Partial Format

A model-free predictive control algorithm based on linearization of partial format is proposed for a class of nonlinear systems which are described by NARMAX model. In the algorithm, linearization of partial format is used to convert nonlinear systems which are described by NARMAX model into linear systems which are described by a series of pseudo-partial-derivatives. Thus the nonlinear control problem is converted into a linear control problem. A novel project algorithm is used to estimate the pseudo-partial-derivatives, then we get the general model and the predictive model of the controlled system. By solving finite horizon quadratic objective function, the model-free predictive control law is obtained. Simulation result shows that the proposed algorithm is an effective strategy with excellent tracking ability and strong robustness.

linearization of partial format pseudo-partial-derivative general model predictive model model-free predictive control

Chengli Su Guanghui Zhang Bin Liu Yuansheng Hu

School of Information and Control Engineering,Liaoning Shihua University, Fushun 113001,China School of Information and Control Engineering,Liaoning Shihua University, Fushun 113001, China, School of Information and Control Engineering, LiaoningShihua University, Fushun 113001, China School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China

国际会议

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

四川绵阳

英文

2629-2633

2011-05-23(万方平台首次上网日期,不代表论文的发表时间)