Artificial intelligence based high performance direct torque and flux control of induction motor drive

In this research study, direct torque and flux control of induction motor drive (IMD) using artificial intelligence based speed control loop (SCL) to minimize the ripple contents of the stator current, flux and electromagnetic torque, and also improving the speed response under transient and steady state conditions. It is quite difficult to optimize the high performance of DTC of IMD with conventional (PI-controller) scheme, because of the nonlinear model of induction motor. This system requires accurate and continuous tuning of gain values. Therefore, the fuzzy logic controller (FLC) and PI-FLC techniques are proposed to improve the system performance. The detailed simulation results are presented in forward motoring under no-load, load and sudden change in speed conditions using MATLAB/Simulink software to support the feasibility of the proposed control strategy.