DocumentCode :
498859
Title :
Research on auto-disturbance-rejection-control for slip power recovery induction motor
Author :
Jiang, Ping ; Wang, Bing-shu ; Duan, Xin-hui
Author_Institution :
Autom. Dept., North China Electr. Power Univ., Baoding, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
1967
Lastpage :
1971
Abstract :
A double-closed-loop control system based on auto-disturbance-rejection-controller (ADRC) is presented to improve the dynamic performance of slip power recovery motors. In which, ADRC is used as auto speed regulator (ASR) and conventional proportional-integral-derivative (PID) controller is used as auto current regulator (ACR). By using tracking differentiator (TD), a desirable transition response can be defined to reduce overshoot when input signal changes. The model uncertainty and external interference can be accurately estimated and compensated to a form of integrator series by the extended state observer (ESO). Without integrator, the control law is a nonlinear function of state error and its differential. The simulation results of this control strategy for motor drive show that the design of the control system does not rely on mathematical models. This system has strong anti-disturbance capacity, fast response, nearly non-overshoot, so the system dynamic performance is improved in contrast with the conventional PID controller.
Keywords :
angular velocity control; closed loop systems; induction motor drives; machine control; observers; three-term control; PID controller; auto speed regulator; autocurrent regulator; autodisturbance-rejection-control; control law; double-closed-loop control system; extended state observer; external interference; mathematical model; motor drive; nonlinear function; proportional-integral-derivative controller; simulation result; slip power recovery induction motor; tracking differentiator; transition response; uncertainty model; Automatic speech recognition; Control systems; Induction motors; Interference; Pi control; Proportional control; Regulators; State estimation; Three-term control; Uncertainty; Auto-disturbance-rejection-control; motor drive speed control; nonlinear function; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212223
Filename :
5212223
Link To Document :
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