Title :
Feedforward control for piezoelectric actuator using inverse Prandtl-Ishlinskii model and particle swarm optimization
Author :
Jin-Wei Liang ; Hung-Yi Chen ; Lung Lin
Author_Institution :
Dept. of Mech. Eng., Ming Chi Univ. of Technol., New Taipei, Taiwan
Abstract :
In this paper feedforward controller is designed to eliminate nonlinear hysteresis behaviors of a piezoelectric stack actuator (PSA) driven system. The control design is based on inverse Prandtl-Ishlinskii (P-I) hysteresis model identified using particle swarm optimization (PSO) technique. Based on the identified P-I model, both the inverse P-I hysteresis model and feedforward controller can be determined. Experimental results obtained using the inverse P-I feedforward control are compared with its counterpart using hysteresis estimate and the identified Bouc-Wen model. Effectiveness of the proposed feedforward control scheme is demonstrated. To further improve control performance feedback compensation using traditional PID scheme is adopted to integrate with the feedforward controller.
Keywords :
control nonlinearities; control system synthesis; feedback; feedforward; particle swarm optimisation; piezoelectric actuators; Bouc-Wen model; PID scheme; feedback compensation; feedforward control; inverse Prandtl-Ishlinskii hysteresis model; nonlinear hysteresis behaviors; particle swarm optimization; piezoelectric stack actuator driven system; Feedforward neural networks; Hysteresis; Mathematical model; Moon; Particle swarm optimization; Sun; Tracking;
Conference_Titel :
Automatic Control Conference (CACS), 2013 CACS International
Conference_Location :
Nantou
Print_ISBN :
978-1-4799-2384-7
DOI :
10.1109/CACS.2013.6734100