Voice coil motor motion control using fuzzy cerebellar model articulation controller

Author

Lin, Chih-Min ; Li, Hsin-Yi

Author_Institution

Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan

fYear

2011

fDate

8-10 June 2011

Firstpage

264

Lastpage

269

Abstract

This paper develops a fuzzy cerebellar model articulation controller (CMAC) for voice coil motor (VCM) drive system. The proposed controller comprises a fuzzy CMAC and a robust controller. The fuzzy CMAC is the main tracking controller utilized to mimic an ideal control law; and the parameters of fuzzy CMAC are online tuned by the derived adaptation laws from the Lyapunov stability theorem. The robust controller is designed to dispel the approximation error introduced by the fuzzy CMAC, so that the asymptotic stability of the closed-loop system can be guaranteed. Finally, the experimental results for the trajectory tracking have shown the effectiveness of the proposed control method even the system model of VCM is unknown.

Keywords

Lyapunov methods; approximation theory; asymptotic stability; cerebellar model arithmetic computers; closed loop systems; coils; control system synthesis; fuzzy control; motion control; motor drives; neurocontrollers; robust control; Lyapunov stability theorem; approximation error; asymptotic stability; closed-loop system; control law; electrodynamics actuator; fuzzy cerebellar model articulation controller; motion control; robust controller design; tracking controller; voice coil motor drive system; Artificial neural networks; Coils; Force; Permanent magnet motors; Robustness; Trajectory; CMAC; fuzzy system; voice coil motor;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science and Engineering (ICSSE), 2011 International Conference on

Conference_Location

Macao

Print_ISBN

978-1-61284-351-3

Electronic_ISBN

978-1-61284-472-5

Type

conf

DOI

10.1109/ICSSE.2011.5961911

Filename

5961911