A novel sensorless field oriented controller for Permanent Magnet Synchronous Motors

Author

Aygun, Hilmi ; Gokdag, Mustafa ; Aktas, Mustafa ; Cernat, Mihai

Author_Institution

Electr.-Electron. Eng. Dept., Karabuk Univ., Karabuk, Turkey

fYear

2014

fDate

1-4 June 2014

Firstpage

715

Lastpage

720

Abstract

In this paper, a Particle Swarm Optimization based PI controller (PSO-PI) is used for control the speed and the torque of a Permanent Magnet Synchronous Motor (PMSM) while a Model Reference Adaptive System (MRAS) based on an Artificial Neural Network (ANN) estimation mechanism is applied to estimate sensorless the speed. In order to show the capability of the proposed PSO-PI controller, it is compared with a Fuzzy-Logic PI controller and with a classical PI controller. The simulation results prove the usefulness of the proposed PSO-PI controller.

Keywords

PI control; adaptive systems; fuzzy control; machine vector control; neural nets; particle swarm optimisation; permanent magnet motors; synchronous motors; torque control; velocity control; ANN estimation mechanism; MRAS; PMSM; PSO-PI controller; artificial neural network estimation mechanism; fuzzy-logic PI controller; model reference adaptive system; particle swarm optimization; permanent magnet synchronous motors; sensorless field oriented controller; speed control; torque control; Adaptation models; Artificial neural networks; Estimation; Fuzzy logic; Rotors; Simulation; Torque; Artificial neural network; Field oriented control; Model reference adaptive system; Particle swarm optimization; Permanent magnet synchronous motor; Sensorless control; Speed control; Torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on

Conference_Location

Istanbul

Type

conf

DOI

10.1109/ISIE.2014.6864700

Filename

6864700