Title :
Fuzzy logic enhanced speed control of an indirect field-oriented induction machine drive
Author :
Heber, Brian ; Xu, Longya ; Tang, Yifan
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
9/1/1997 12:00:00 AM
Abstract :
Field orientation control (FOC) of induction machines has permitted fast transient response by decoupled torque and flux control. However, field orientation detuning caused by parameter variations is a major difficulty for indirect FOC methods. Traditional probability density function (PID) controllers have trouble meeting a wide range of speed tracking performance even when proper field orientation is achieved. PID controller performance is severely degraded when detuning occurs. This paper presents a fuzzy logic design approach that can meet the speed tracking requirements even when detuning occurs. Computer simulations and experimental results obtained via a general-purpose digital signal processor (DSP) system are presented
Keywords :
angular velocity control; digital control; digital signal processing chips; electric machine analysis computing; fuzzy control; induction motor drives; machine control; magnetic flux; magnetic variables control; simulation; torque control; transient response; DSP system; PID controllers; computer simulations; decoupled flux control; decoupled torque control; detuning; digital signal processor; fast transient response; fuzzy logic design approach; fuzzy logic enhanced speed control; indirect field-oriented induction machine drive; probability density function controllers; speed tracking performance; Computer simulation; Degradation; Fuzzy logic; Induction machines; Position control; Probability density function; Three-term control; Torque control; Transient response; Velocity control;
Journal_Title :
Power Electronics, IEEE Transactions on
