TY - JOUR
T1 - PID Control of Permanent Magnet Synchronous Motor Based on Improved Actor-Critic Framework
AU - Liao, Junrong
AU - Liu, Shiyue
AU - Wu, Qinghe
AU - Chen, Jiabin
AU - Wei, Fuhua
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2022/3/24
Y1 - 2022/3/24
N2 - Aiming at the shortcomings of the traditional PID control method that the parameters cannot be adjusted flexible, an improved Actor-Critic reinforcement learning algorithm combined with incremental PID control is proposed to improve the control performance of permanent magnet synchronous motor (PMSM). The strategy function of Actor and value function of Critic are approximated by two back propagation (BP) neural networks respectively. The simulation results show that the proposed algorithm has better control performance and effect than the traditional PID control method.
AB - Aiming at the shortcomings of the traditional PID control method that the parameters cannot be adjusted flexible, an improved Actor-Critic reinforcement learning algorithm combined with incremental PID control is proposed to improve the control performance of permanent magnet synchronous motor (PMSM). The strategy function of Actor and value function of Critic are approximated by two back propagation (BP) neural networks respectively. The simulation results show that the proposed algorithm has better control performance and effect than the traditional PID control method.
UR - http://www.scopus.com/inward/record.url?scp=85127535728&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2213/1/012005
DO - 10.1088/1742-6596/2213/1/012005
M3 - Conference article
AN - SCOPUS:85127535728
SN - 1742-6588
VL - 2213
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012005
T2 - 2022 8th International Conference on Electrical Engineering, Control and Robotics, EECR 2022
Y2 - 13 January 2022 through 15 January 2022
ER -