Model Predictive Control for DC-DC Buck Power Converter-DC Motor System with Uncertainties Using a GPI Observer

被引：0
|
作者：
Wu, Han [1 ]
Zhang, Lu [1 ]
Yang, Jun [1 ]
Li, Shihua [1 ]
机构：
[1] Minist Educ, Key Lab Measurement & Control CSE, Nanjing 210096, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
Output Feedback; Model Predictive Control; Generalized Proportional Integral (GPI) Observer; DC-DC Buck Power Converter-DC Motor System;
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：
In this paper, angular velocity control of permanent magnet dc motor is addressed by using an output feedback discrete-time model predictive control (MPC) algorithm. The operational constraints are imposed on the control input. The control system is designed based on a topology of the dc-dc buck power converter-dc motor system in the presence of unknown, exogenous, time-varying load torque disturbances. The generalized proportional integral (GPI) observer is used to estimate the time-varying disturbances. Finally, the effectiveness of the proposed model predictive controller based on the generalized proportional integral (GPI) observer algorithm is demonstrated by simulation results.
引用
收藏
页码：4906 / 4911
页数：6
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