TY - GEN
T1 - Advancements in Suppressing Load Disturbances of Electric Motor Drives
T2 - 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023
AU - Liu, Chunqiang
AU - Li, Ziteng
AU - Li, Jiahui
AU - Han, Yaofei
AU - Sun, Ming
AU - Gong, Chao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper provides a comprehensive overview of load disturbances in electric motor systems, their impact on performance, and existing control methods. First, load disturbances that can affect motor stability, control accuracy, dynamics, and energy efficiency, including static, dynamic, and nonlinear load variations, are introduced. Second, traditional control methods used for suppressing load disturbances like feedback and feedforward control are discussed, along with their advantages and limitations. Third, advanced control strategies such as intelligent control, self-adaptive control, and robust nonlinear control are introduced. Finally, this paper highlights the need for further research and identifies future directions. Overall, this review paper contributes to the development of robust motor control strategies, enhancing industrial automation and manufacturing processes.
AB - This paper provides a comprehensive overview of load disturbances in electric motor systems, their impact on performance, and existing control methods. First, load disturbances that can affect motor stability, control accuracy, dynamics, and energy efficiency, including static, dynamic, and nonlinear load variations, are introduced. Second, traditional control methods used for suppressing load disturbances like feedback and feedforward control are discussed, along with their advantages and limitations. Third, advanced control strategies such as intelligent control, self-adaptive control, and robust nonlinear control are introduced. Finally, this paper highlights the need for further research and identifies future directions. Overall, this review paper contributes to the development of robust motor control strategies, enhancing industrial automation and manufacturing processes.
KW - adaptive control
KW - induction motor
KW - intelligent control
KW - load disturbance
KW - permanent magnet motor
KW - robust nonlinear control
UR - http://www.scopus.com/inward/record.url?scp=85183462357&partnerID=8YFLogxK
U2 - 10.1109/SCEMS60579.2023.10379290
DO - 10.1109/SCEMS60579.2023.10379290
M3 - 会议稿件
AN - SCOPUS:85183462357
T3 - IEEE Student Conference on Electric Machines and Systems (SCEMS)
BT - 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers
Y2 - 7 December 2023 through 9 December 2023
ER -
