Title :
Induction motor DTC based on adaptive SMC and fuzzy control
Author :
Shuai Zhao ; Haisheng Yu ; Jinpeng Yu ; Bingqiang Shan
Author_Institution :
Coll. of Autom. Eng., Qingdao Univ., Qingdao, China
Abstract :
This paper presents a novel direct torque control (DTC) based on adaptive sliding mode control (SMC) and fuzzy logic control (FLC) for speed control of induction motor. According to this method, an adaptive sliding mode controller is designed to replace the PID speed controller in order to increase system rapidity and anti-interference ability. In addition, a fuzzy logic controller is used to adjust the bandwidth of torque hysteresis controller. It can obviously reduce the torque ripple of induction motor at low speed. The stability analysis of the closed-loop control system is also analyzed by using Lyapunov theory. The simulation results show that the DTC based on adaptive SMC and FLC has better dynamic response and speed performance, high robustness and strong anti-interference to load torque disturbance at low speed.
Keywords :
Lyapunov methods; adaptive control; angular velocity control; closed loop systems; control system synthesis; fuzzy control; hysteresis; induction motors; machine control; stability; torque control; variable structure systems; FLC; Lyapunov theory; PID speed controller; adaptive SMC; adaptive sliding mode controller design; antiinterference ability; closed-loop control system stability analysis; direct torque control; fuzzy logic control; induction motor DTC; induction motor speed control; induction motor torque ripple; system rapidity; torque disturbance; torque hysteresis controller; Bandwidth; Fuzzy logic; Hysteresis; Induction motors; Stators; Switches; Torque; Adaptive SMC; DTC; FLC; Induction Motor;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162713