Title :
Predictive controller design for a sensorless IPMSM speed control system
Author :
Chen, Jui-Ling ; Liu, Tian-Hua
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
This paper proposes a predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The controllers include a current-loop predictive controller and a speed-loop predictive controller with an external load estimator. In addition, the estimated error of the rotor position estimator is reduced due to the using of the on-line tuning stator resistance and q-axis inductance. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses, satisfactory load disturbance responses, and good tracking responses. A digital signal processor, TMS 320F2812, is used to perform the rotor position estimating algorithm and the predictive control algorithm. As a result, the hardware is very simple. Experimental results can validate the theoretical analysis and show that the predictive controllers have better performance than the PI controllers.
Keywords :
angular velocity control; closed loop systems; control system synthesis; digital signal processing chips; electric current control; electric resistance; inductance; permanent magnet motors; predictive control; rotors; sensorless machine control; stators; synchronous motor drives; transient response; TMS 320F2812; closed loop system; control algorithms; current loop predictive controller; digital signal processor; external load estimator; fast transient responses; load disturbance responses; online tuning stator resistance; predictive control algorithm; predictive controller design; q-axis inductance; rotor position estimation algorithm; sensorless IPMSM speed control system; sensorless interior permanent magnet synchronous motor drive system; speed loop predictive controller; tracking responses; Control systems; Helium; Prediction algorithms; Predictive control; Steady-state;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389302