Title :
Precision torque control in inverter-fed induction machines using fuzzy logic
Author :
Mir, S. ; Elbuluk, M.E.
Author_Institution :
Dept. of Electr. Eng., Akron Univ., OH, USA
Abstract :
In direct torque control of induction machines, none of the switching states is able to generate the exact voltage vector to produce the desired changes in torque and flux in most of the switching instances. This causes a high ripple in torque. This ripple can be reduced by applying a selected inverter switching state for a portion of switching period (defined as duty ratio /spl delta/) and the zero switching state for the rest of the period. The duty ratio during each switching state is a nonlinear function of torque error, flux error and flux position therefore fuzzy logic control is used to determine the duty ratio during each switching state. The simulation results indicate the ripple is reduced to less than 1/3 of the conventional DTC using the duty ratio control. Under duty ratio control the torque depends upon the changes in torque and flux during the zero switching state. These changes are minimized by using the stator flux optimization.<>
Keywords :
fuzzy control; induction motors; invertors; machine control; magnetic flux; optimisation; stators; switching circuits; torque control; direct torque control; duty ratio; flux error; flux position; fuzzy logic control; high torque ripple; inverter switching state; inverter-fed induction machines; precision torque control; simulation; stator flux optimization; switching states; torque error; zero switching state; Error correction; Fuzzy logic; Induction machines; Inverters; Sliding mode control; Stators; Switching frequency; Tellurium; Torque control; Voltage;
Conference_Titel :
Power Electronics Specialists Conference, 1995. PESC '95 Record., 26th Annual IEEE
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7803-2730-6
DOI :
10.1109/PESC.1995.474841