Simulation of Drive System with Self-Tuning Fuzzy PID Control Application to PMSM

DOI

10.2991/eame-17.2017.25How to use a DOI?

Keywords

component; PMSM; quantification factor; self-tuning; fuzzy PID; robustness

Abstract

A permanent magnet synchronous motor (PMSM) drive control system for drive machine tools includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. A quantification factor self-tuning fuzzy PID controller for drive system is suggested by analysis the deficiency and characteristics of conventional PID controller and the limitations of conventional fuzzy PID controller. The simulation results show that the controller can map the error to the fuzzy domain in the whole speed reference range, and slow the system down when the error is small. There is almost no overshoot in both haste and slow process. The proposed controller is superior to the conventional fuzzy PID controller in dynamic stability performance and speed tracking power, and the quantification factor self-tuning fuzzy PID controller has strong robustness to external disturbance.

Copyright

© 2017, 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  - Hui Hang
AU  - Bingyi Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Simulation of Drive System with Self-Tuning Fuzzy PID Control Application to PMSM
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 103
EP  - 107
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.25
DO  - 10.2991/eame-17.2017.25
ID  - Hang2017/04
ER  -