TY - GEN
T1 - Research on two-degree-of-freedom PID controller of permanent magnet synchronous motor based on fuzzy inference
AU - Dong, Ning
AU - Li, Xiaoyuan
AU - Chen, Zhen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - The mathematical models of the permanent magnet synchronous motor (PMSM) are complex systems, characterized by high coupling, nonlinearity, parameter variation and they are highly influenced by disturbances. Conventional PID control method cannot make the system set value tracking and interference suppression both in optimal. In this paper, a two-degree-of-freedom (2DOF) PID controller with a set-valued filter is designed, and double-optimal control effect for servo tracking performance and interference suppression performance is realized by combining with the fuzzy self-tuning rules. The result shows that the scheme has the advantages of short adjustment time, small overshoot and strong anti-interference performance. Both of its dynamic performance and steady-state accuracy are better than PID control.
AB - The mathematical models of the permanent magnet synchronous motor (PMSM) are complex systems, characterized by high coupling, nonlinearity, parameter variation and they are highly influenced by disturbances. Conventional PID control method cannot make the system set value tracking and interference suppression both in optimal. In this paper, a two-degree-of-freedom (2DOF) PID controller with a set-valued filter is designed, and double-optimal control effect for servo tracking performance and interference suppression performance is realized by combining with the fuzzy self-tuning rules. The result shows that the scheme has the advantages of short adjustment time, small overshoot and strong anti-interference performance. Both of its dynamic performance and steady-state accuracy are better than PID control.
KW - Fuzzy control
KW - Observer
KW - Permanent magnet synchronous motor
KW - Two-degree-of-freedom PID
UR - http://www.scopus.com/inward/record.url?scp=85034644041&partnerID=8YFLogxK
U2 - 10.1109/ICEMS.2017.8056263
DO - 10.1109/ICEMS.2017.8056263
M3 - Conference contribution
AN - SCOPUS:85034644041
T3 - 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
BT - 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Electrical Machines and Systems, ICEMS 2017
Y2 - 11 August 2017 through 14 August 2017
ER -