DocumentCode :
154423
Title :
A gain-scheduled multivariable LQR controller for permanent magnet synchronous motor
Author :
Brasel, Michal
Author_Institution :
Fac. of Electr. Eng., West Pomeranian Univ. of Technol., Szczecin, Szczecin, Poland
fYear :
2014
fDate :
2-5 Sept. 2014
Firstpage :
722
Lastpage :
725
Abstract :
The paper presents a gain-scheduled LQR control system for a nonlinear model of permanent magnet synchronous motor (PMSM). The most popular cascade FOC (Field Oriented Control) structure including a few single-loop PI control systems is replaced with a single multivariable state feedback controller. Due to a nonlinear nature of the PMSM dynamics equations the developed gain-scheduled controller is tuned in relation to the changeable operating conditions of the motor. In order to ensure zero steady-state speed error the system synthesis is carried out by means of the LQ optimal control method with state vector augmentation. The presented simulation results show that the use of gain-scheduled controller may improve control quality.
Keywords :
PI control; cascade control; linear quadratic control; machine control; multivariable control systems; nonlinear control systems; permanent magnet motors; state feedback; synchronous motors; vectors; LQ optimal control method; PMSM dynamics equations; cascade FOC structure; cascade field oriented control structure; control quality improvement; gain-scheduled LQR control system; gain-scheduled controller tuning; gain-scheduled multivariable LQR controller; nonlinear model; permanent magnet synchronous motor; single multivariable state feedback controller; single-loop PI control systems; state vector augmentation; system synthesis; zero steady-state speed error; Adaptation models; Control systems; Mathematical model; Permanent magnet motors; Rotors; Torque; Vectors; Gain-scheduled LQR controller; Multivariable Control Systems; Nonlinear Systems; Permanent Magnet Synchronous Motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4799-5082-9
Type :
conf
DOI :
10.1109/MMAR.2014.6957443
Filename :
6957443
Link To Document :
بازگشت