Title :
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
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;
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864700
