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In this research study, the performance of direct torque and flux control (DTFC) induction motor drive (IMD) is presented using four different speed control techniques. The performance of IMD mainly depends on the design of speed controller. The PI speed controller (PISC) requires precise mathematical model, continuous and appropriate gain values. Therefore, adaptive control based speed controller is desirable to achieve high performance drive. The sliding-mode speed controller (SMSC) is developed to achieve continuous control of motor speed and torque. Furthermore, the fuzzy logic speed controller (FLSC) and fuzzy sliding-mode speed controller (FSMSC) is designed to obtain high performance, dynamic tracking behavior, speed accuracy and also robustness to parameter variations. The performance of each control technique has been tested for its robustness to parameter uncertainties and load disturbances. The detailed comparison of different control schemes are carried out in a MATALB/Simulink environment at different speed operating conditions, such as, forward and reversal motoring under no-load, load and sudden change in speed.

Fuzzy Logic and Sliding-Mode Speed Control Based Direct Torque and Flux Control Scheme to Improve the Performance of an Induction Motor Drive