Title :
Research on the iterative learning control method for linear motor
Author :
He-shuai, Jia ; Rong-min, Cao ; Hui-xing, Zhou
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
In this paper, an iterative learning control (ILC) method with a configuration of feedback is proposed to achieve precise tracking control of a permanent magnet linear motor(PLMM) system over a finite time interval. The feedback configuration could improve the learning speed and guarantee the stability of the system, while the ILC feedforward control enhances the trajectories tracking performance by capitalizing on the experience gained from the repeated execution of the same operation. The method is suitable for real-time and repetitive motion control. It is model-free. The various highlights of the proposed method will be elaborated by the simulation examples.
Keywords :
feedback; feedforward; iterative methods; learning systems; linear motors; machine control; permanent magnet motors; position control; stability; ILC feedforward control method; PLMM system; feedback configuration; finite time interval; iterative learning control feedforward control method; permanent magnet linear motor system; repetitive motion control; tracking control; Adaptive control; Feedforward neural networks; Permanent magnet motors; Permanent magnets; Tracking; Trajectory;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073385
