DocumentCode :
1865569
Title :
Direct Torque Control of Interior Permanent Magnet Synchronous Motors Based on Sensorless Control and Fuzzy Controller
Author :
Zhaojun Meng ; Rui Chen ; Yuejun An
Author_Institution :
Sch. of Electr. & Inf. Eng., Liaoning Inst. of Sci. & Technol., Benxi, China
Volume :
1
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
556
Lastpage :
559
Abstract :
The direct torque control Based on position sensor less control method and fuzzy controller was carried out aiming at the interior permanent magnet synchronous motor (IPMSM) in this paper. To the consideration of electric vehicle space is limited and to reduce the controller size to save space, this paper studied the sensor less control. Hysteresis comparator of direct torque control easily results in high switching frequency of the inverter and may result in chaos, this paper studied the fuzzy controller. Meanwhile, in order to improve the control rapidity as much as possible of the electric vehicle, take direct torque control as a control method of the driving motor. Finally, designed the fuzzy sensor less direct torque controller and studied its simulation. Simulation results show that the control system have good dynamic and static characteristics, and can reduce the torque ripple and avoid chaotification in motor start-up stage.
Keywords :
chaos; control system synthesis; electric vehicles; fuzzy control; hysteresis; invertors; permanent magnet motors; position control; sensorless machine control; synchronous motors; torque control; IPMSM; chaos; controller size; driving motor control method; dynamic characteristics; electric vehicle space; fuzzy controller; fuzzy sensorless direct torque controller; hysteresis comparator; interior permanent magnet synchronous motors; inverter switching frequency; motor start-up stage chaotification; position sensorless control method; static characteristics; torque ripple reduce; Chaos; Niobium; Permanent magnet motors; Stators; Synchronous motors; Torque; Torque control; IPMSM; direct torque control; fuzzy controller; position sensorless control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.138
Filename :
6643950
Link To Document :
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