The Optimal Duty Cycle Model-Predictive Control of PMSM Used for Satellite Payload

Jialin Li, Zhen Chen, Hengzai Hu*, Xiangdong Liu, Liang Bao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Model-predictive control is emerging as an advanced control strategy for its feature that the state variables can be predicted according to the math model of the control system. In the PMSM drive application, conventional model-predictive control strategy induces current ripple due to the fact that the optimal voltage vector always acts on the system for the whole control period. In order to restrain the current ripple, the idea of duty cycle control is taken into MPC by inserting a zero vector into the optimal non-zero vector and regulating the duty cycle of non-zero vector. In this paper, the optimal duty cycle FSC-MPC strategy based on two different principles is investigated. Principle A is that the estimation is equal to the reference at the end of control cycle, and principle B is that the area under trace of the estimation is equal to that of reference. The calculation of duty based on the two different principles and the flow chart of the strategy are introduced in detail. Finally, the effectiveness of the optimal duty cycle FSC-MPC is firstly verified by the simulation, and then verified by the experimental results, which is implemented on the PMSM driver of the DQ-1 satellite payload.

Original languageEnglish
Title of host publicationThe Proceedings of the 17th Annual Conference of China Electrotechnical Society
EditorsKaigui Xie, Jianlin Hu, Jian Li, Qingxin Yang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages70-86
Number of pages17
ISBN (Print)9789819904075
DOIs
Publication statusPublished - 2023
Event17th Annual Conference of China Electrotechnical Society, CES 2022 - Beijing, China
Duration: 17 Sept 202218 Sept 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1014 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference17th Annual Conference of China Electrotechnical Society, CES 2022
Country/TerritoryChina
CityBeijing
Period17/09/2218/09/22

Keywords

  • Current ripple
  • Model predictive control
  • PMSM

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