A Multirate Model Predictive Current Control of GaN Power Amplifiers for Voice Coil Motors

GaN power amplifiers (PA) can achieve low current ripple for voice coil motors. However, due to the limited sampling frequency, the controller cannot achieve control updates in each switching period, which degrades the performance of the GaN PA. Therefore, this paper proposed a novel multirate model predictive current control (MRMPCC) for the GaN PA. The predictive model of the GaN PA is derived. The feedback correction is applied to eliminate steady-state errors. The control law of the MRMPCC is obtained through rolling optimization. The simulation analysis of the MRMPCC is performed. The current response speed of this method is improved by 44.11% compared to the PID method. The effectiveness of the proposed method is verified.

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.1109/ldia64731.2025.11060175
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.00

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article

A Multirate Model Predictive Current Control of GaN Power Amplifiers for Voice Coil Motors

Hong‐Jin Hu, Su‐Dan Huang, Deliang Liang, Guang‐Zhong Cao et al.
Advanced DC-DC Converters
article

A Multirate Model Predictive Current Control of GaN Power Amplifiers for Voice Coil Motors

Hong‐Jin Hu, Su‐Dan Huang, Deliang Liang, Guang‐Zhong Cao, Yuxiang Xie
article en

Abstract

GaN power amplifiers (PA) can achieve low current ripple for voice coil motors. However, due to the limited sampling frequency, the controller cannot achieve control updates in each switching period, which degrades the performance of the GaN PA. Therefore, this paper proposed a novel multirate model predictive current control (MRMPCC) for the GaN PA. The predictive model of the GaN PA is derived. The feedback correction is applied to eliminate steady-state errors. The control law of the MRMPCC is obtained through rolling optimization. The simulation analysis of the MRMPCC is performed. The current response speed of this method is improved by 44.11% compared to the PID method. The effectiveness of the proposed method is verified.

Shenzhen University (CN), State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 85%
Advanced DC-DC Converters
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A Multirate Model Predictive Current Control of GaN Power Amplifiers for Voice Coil Motors — Hong‐Jin Hu, Su‐Dan Huang, et al. · (2025) | TGRS Research Map | TGRS