Title :
LQR state feedback controller based on particle swarm optimization for IPMSM drive system
Author :
Kittithuch Paponpen;Mongkol Konghirun
Author_Institution :
Dept. of Electrical Engineering, King Mongkut´s University of Technology Thonburi, Bangkok, Thailand
fDate :
6/1/2015 12:00:00 AM
Abstract :
This paper presents a LQR state feedback controller for speed controlled drive system of interior permanent magnet synchronous motor (IPMSM). Nonlinear mathematical model of IPMSM is linearized by means of quadratic linearization method. Controller´s gains are tuned by optimizing weighting matrices through particle swarm optimization. The proposed method accomplishes both desirable control performances and robustness to the parameter variations. These outstanding features of the proposed method are mainly verified by simulation results.
Keywords :
"State feedback","Particle swarm optimization","Mathematical model","Stators","Permanent magnet motors","Robustness","Torque"
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on
DOI :
10.1109/ICIEA.2015.7334285
