Design of Model Predictive Controller Based on Extended State Observer

被引：0
|
作者：
Li, Zongli [1 ,2 ]
Xu, Fang [2 ]
Liang, Dinan [2 ]
Chen, Hong [1 ,2 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun, Jilin, Peoples R China
[2] Jilin Univ, Dept Control Sci & Engn, Changchun, Jilin, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Model Predictive Control; Extend State Observer; Uncertain Disturbance; PMDC Motor;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a linear model predictive control (LMPC) based on extend state observer (ESO) which can approximate the control performance of the nonlinear model predictive control (NMPC). The ESO is used to estimate the disturbance caused by the linearization of actual nonlinear system. The estimated disturbance is added into the system model of the LMPC controller design. The low speed control problem of the permanent magnet DC (PMDC) motor is studied. The simulation results show that this method can obtain satisfied control performance and the ESO can estimate the uncertain disturbance accurately caused by the linearization if the parameters of ESO are chosen appropriately.
引用
收藏
页码：7421 / 7426
页数：6
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