Title :
A direct torque control of asynchronous motor based on fuzzy net-work
Author_Institution :
Eng. Dept., Hunan Radio & TV Univ., Changsha, China
Abstract :
In this paper, we proposes a direct torque control method of alternating current servomotor, which aims for solving the problems such as large torque ripple of direct control in low speed range and inconsistent inverter switching frequency. In the thesis, SVPWM control strategy and fuzzy neural network adjustor are used for controlling. MATLAB simulation proves that the asynchronous motor using this type of control has small torque ripple and good performances both in dynamic and static.
Keywords :
fuzzy control; induction motors; machine control; neurocontrollers; torque control; MATLAB simulation; alternating current servomotor; asynchronous motor; direct torque control method; fuzzy network; fuzzy neural network; inverter switching frequency; low speed range; torque ripple; Couplings; Fuzzy control; Induction motors; Magnetic flux; Stators; Torque; Voltage control; Direct Torque Control; Induction motor; MATLAB simulation; fuzzy neural network;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975681
