Title : 
Fuzzy direct torque control of induction motor with stator flux estimation compensation
         
        
            Author : 
Xia, Yang ; Oghanna, Wardina
         
        
            Author_Institution : 
Centre for Railway Eng., Central Queensland Univ., Rockhampton, Qld., Australia
         
        
        
        
        
        
            Abstract : 
This paper introduces the design of a fuzzy controller using the direct torque control (DTC) of an induction motor. As the PWM inverter gate control signals directly come from this fuzzy controller, the controller computation speed is a key factor to obtain fast torque control. A stator flux angle mapping technique has been proposed to reduce the size of the rule base to a great extent so that the fuzzy reasoning speed increases. To enable DTC to be applied at low speed while the stator resistance drifts from its nominal value, a simple stator flux estimation compensation has been developed. The simulation results show the effectiveness of the new control strategy
         
        
            Keywords : 
PWM invertors; compensation; electric resistance; fuzzy control; induction motor drives; machine control; magnetic flux; stators; torque control; PWM inverter gate control signals; controller computation speed; fast torque control; fuzzy controller design; fuzzy direct torque control; induction motor; rule base size reduction; stator flux angle mapping; stator flux estimation compensation; stator resistance; AC motors; Error correction; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Induction motors; Machine vector control; Mathematical model; Stators; Torque control;
         
        
        
        
            Conference_Titel : 
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
         
        
            Conference_Location : 
New Orleans, LA
         
        
            Print_ISBN : 
0-7803-3932-0
         
        
        
            DOI : 
10.1109/IECON.1997.671785