Effect of model parameter errors in model predictive control applications

被引：0
|
作者：
Rojas, Diego [1 ]
Rivera, Marco [2 ]
Munoz, Javier [2 ]
Wheeler, Patrick [3 ]
Zanchetta, Pericle [3 ]
Mirzaeva, Galina [4 ]
机构：
[1] Univ Talca, Fac Ingn, Sistemas Ingn, Curico, Chile
[2] Univ Talca, Fac Ingn, Curico, Chile
[3] Univ Nottingham, Power Elect Machines & Control Grp, Nottingham, England
[4] Univ Newcastle, Sch Elect Engn & Comp, Newcastle, NSW, Australia
来源：
2021 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (IEEE CHILECON 2021) | 2021年
关键词：
Model predictive control; Parameter error; RMS error; Total harmonic distortion (THD); Voltage source inverter;
D O I：
10.1109/CHILECON54041.2021.9702942
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
When implementing predictive control strategies for power electronic converters a good model of the system is needed because this model determines the quality of the resulting controller. In this paper a study of the model parameter error effects in predictive control applications is presented. The results show that by considering a short sampling time, there can be a significant impact if there are variations in the resistance and inductance values.
引用
收藏
页码：37 / 43
页数：7
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