TY - GEN
T1 - Novel Auto-Tuning PD-Fuzzy Control of Current Harmonics to Reduce Losses in Motor Drive Systems Excited by SiC-MOSFET Inverter
AU - Thao, Nguyen Gia Minh
AU - Do, Ton Duc
AU - Ngo, Duc Kien
AU - Fujisaki, Keisuke
N1 - Funding Information:
This work was supported in part by JSPS KAKENHI Grant Number 21K14182 and Number 22K04080, and the Ministry of Education, Culture, Sports, Science and Technology program, Japan, for private universities.
Publisher Copyright:
© 2023 The Society of Instrument and Control Engineers.
PY - 2023
Y1 - 2023
N2 - This paper presents a novel auto-tuning proportional derivative (PD) controller based on fuzzy logic for significant reduction of selective current harmonics in interior permanent magnet synchronous motor (IPMSM) drive systems under silicon carbide (SiC) inverter excitation, where the ultimate goal is to mitigate the IPMSM copper loss and SiC inverter loss in the motor drive systems for electric vehicles (EVs) and mobile robots. In the proposed control scheme, a fuzzy logic controller (FLC) is newly designed to automatically adjust the coefficients of the PD controller according to the operating conditions of the motor system. With the unique design of two inputs and related membership functions based on absolute values in the FLC, the number of its fuzzy association rules is remarkably decreased in order to achieve good control performance with a less computational burden in real-time implementation. The measured results obtained with an experimental SiC-based IPMSM drive system under a high carrier frequency of 200 kHz in load condition are shown and discussed to validate the feasibility and effectiveness of the introduced PD-fuzzy control. Furthermore, this model-free PD-fuzzy control scheme can be appropriately applied for other motor drives utilized in various fields.
AB - This paper presents a novel auto-tuning proportional derivative (PD) controller based on fuzzy logic for significant reduction of selective current harmonics in interior permanent magnet synchronous motor (IPMSM) drive systems under silicon carbide (SiC) inverter excitation, where the ultimate goal is to mitigate the IPMSM copper loss and SiC inverter loss in the motor drive systems for electric vehicles (EVs) and mobile robots. In the proposed control scheme, a fuzzy logic controller (FLC) is newly designed to automatically adjust the coefficients of the PD controller according to the operating conditions of the motor system. With the unique design of two inputs and related membership functions based on absolute values in the FLC, the number of its fuzzy association rules is remarkably decreased in order to achieve good control performance with a less computational burden in real-time implementation. The measured results obtained with an experimental SiC-based IPMSM drive system under a high carrier frequency of 200 kHz in load condition are shown and discussed to validate the feasibility and effectiveness of the introduced PD-fuzzy control. Furthermore, this model-free PD-fuzzy control scheme can be appropriately applied for other motor drives utilized in various fields.
KW - current harmonics control
KW - inverter loss
KW - motor copper loss
KW - PD-fuzzy control
KW - SiC-based motor drive
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U2 - 10.23919/SICEISCS57194.2023.10079198
DO - 10.23919/SICEISCS57194.2023.10079198
M3 - Conference contribution
AN - SCOPUS:85152774100
T3 - Proceedings of 2023 SICE International Symposium on Control Systems, SICE ISCS 2023
SP - 103
EP - 110
BT - Proceedings of 2023 SICE International Symposium on Control Systems, SICE ISCS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 SICE International Symposium on Control Systems, SICE ISCS 2023
Y2 - 9 March 2023 through 11 March 2023
ER -
