Title :
An Improved DTC Algorithm for Reducing Torque Ripples of PMSM Based on Cloud Model and SVM
Author :
Ningzhou, Li ; Xiaojuan, Wei ; Xiaoyun, Feng
Author_Institution :
Sch. of Electrmechanical Eng., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
There are big ripples on current and electromagnet torque under traditional hysteresis direct torque control (HDTC) on motor drive system. To solve these problems, a two dimension cloud model controller is designed to instead traditional hysteretic comparator in this paper, and zero voltage vectors are used to further reduce ripples. The torque error, the flux error and stator flux position are used to select two adjacent active vectors and its ratio of active time. Zero voltage vectors effective time is determine by the output of cloud model controller based on the torque error magnitude and flux error magnitude. Arranging the inverter switching in this manner, results in fast torque response and minimum torque ripples as compared to the traditional HDTC. The simulation results have verified the effectiveness of this method.
Keywords :
electromagnets; machine vector control; magnetic flux; motor drives; permanent magnet motors; stators; support vector machines; synchronous motors; torque control; DTC algorithm; HDTC; PMSM; SVM; adjacent active vectors; electromagnet torque; fast torque response; flux error magnitude; hysteresis direct torque control; hysteretic comparator; inverter switching; minimum torque ripples; motor drive system; stator flux position; torque error magnitude; two dimension cloud model controller; zero voltage vectors; Clouds; Stators; Switches; Torque; Torque control; Voltage control; Cloud model; Direct Torque Control; Permanent Magnet Synchronous Motor; Torque Rippl;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
DOI :
10.1109/MINES.2010.67