TY - GEN
T1 - Research on nonlinear modeling and precision displacement control of giant magnetostrictive actuator
AU - Niu, Yu
AU - Wang, Xingjing
AU - Wang, Shaoping
AU - Liu, Di
AU - Zhang, Xinyuan
AU - Gavrilov, Alexander I.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - To address the nonlinear issues in the precision displacement control of the giant magnetostrictive actuator(GMA), a nonlinear mathematical model was developed based on the J-A hysteresis model. This model takes into account the dynamic loss characteristics of giant magnetostrictive materials (GMM) as well as the structural nonlinearity of the actuator. A long short-term memory neural network (LSTM) feedforward compensation PID control strategy is proposed to achieve precise control of GMA by adjusting controller parameters in real-time. The control model is constructed using simulation software, and a GMA system test platform is developed. Simulation analysis and experimental verification are conducted to evaluate the performance of the GMA system. The results show that the LSTM feedforward compensation PID control has good position tracking and anti-interference capabilities, and the dynamic tracking error is kept within 1μm, which greatly improves the control accuracy.
AB - To address the nonlinear issues in the precision displacement control of the giant magnetostrictive actuator(GMA), a nonlinear mathematical model was developed based on the J-A hysteresis model. This model takes into account the dynamic loss characteristics of giant magnetostrictive materials (GMM) as well as the structural nonlinearity of the actuator. A long short-term memory neural network (LSTM) feedforward compensation PID control strategy is proposed to achieve precise control of GMA by adjusting controller parameters in real-time. The control model is constructed using simulation software, and a GMA system test platform is developed. Simulation analysis and experimental verification are conducted to evaluate the performance of the GMA system. The results show that the LSTM feedforward compensation PID control has good position tracking and anti-interference capabilities, and the dynamic tracking error is kept within 1μm, which greatly improves the control accuracy.
KW - LSTM feedforward compensation PID control
KW - giant magnetostrictive actuator
KW - nonlinear mathematical model
UR - https://www.scopus.com/pages/publications/105018045979
U2 - 10.1109/ICIEA65512.2025.11149149
DO - 10.1109/ICIEA65512.2025.11149149
M3 - 会议稿件
AN - SCOPUS:105018045979
T3 - 2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
BT - 2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025
Y2 - 3 August 2025 through 6 August 2025
ER -