Adaptive Fuzzy Sliding Mode Control for PMSM System

DOI

10.2991/cisia-15.2015.262How to use a DOI?

Keywords

adaptive control; permanent magnet synchronous motor; position regulation; adaptive fuzzy sliding mode Control

Abstract

This paper investigates the position regulation problem of permanent magnet synchronous motor (PMSM) servo system based on adaptive fuzzy sliding mode control (AFSMC) method. Adaptive fuzzy sliding mode control is designed by using sliding surface as input of fuzzy controller, and adaptive fuzzy controller to approximate the equivalent control law, thus overcome the impact of model inaccuracy and external disturbances. Then, sliding model controller is designed to compensate the error between the equivalent control law and the fuzzy controller by using adaptive method to estimate the upper bound of the approximation error, meanwhile, adaptive fuzzy sliding mode control can weaken the chattering and improve the robustness of the system, make the motor position reach the reference value in finite time, obtaining a better tracking precision. Simulation results illustrate that the proposed control scheme has much better performance than that of conventional PI.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J.T Fei
AU  - Y. Wang
AU  - Y.C Xue
PY  - 2015/06
DA  - 2015/06
TI  - Adaptive Fuzzy Sliding Mode Control for PMSM System
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 967
EP  - 970
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.262
DO  - 10.2991/cisia-15.2015.262
ID  - Fei2015/06
ER  -