Trajectory Tracking of Micro Linear Piezoelectric Actuator Based on Variable Forgetting Factor Iterative Learning Method

This paper investigates the trajectory tracking problem of a micro linear piezoelectric actuator (LPA) based on a Variable Forgetting Factor Iterative Learning Control (FFILC). Compared to traditional PID control methods, FFILC demonstrates advantages in improving response speed, resistance to disturbances, and smoother tracking curves. Compared to first-order Iterative Learning Control (ILC), FFILC enhances the disturbance rejection capability and tracking accuracy of the iterative learning algorithm by integrating existing data, offering valuable reference for engineering practice. Experimental results show that FFILC has faster convergence and higher tracking accuracy in step signal and sinusoidal signal trajectory tracking compared to PID control and first-order ILC.