Speed Control of Direct Torque Control Induction Motor Drive using Fuzzy Adaptive PID Controller

Induction motors are mostly used in the industrial sector as AC motors. This paper mainly focuses on the direct torque control strategy with a fuzzy adaptive PID speed controller used for induction-motor-drives in industrial applications. The main problem is controlling the speed variation for direct torque control induction motor drive due to variable load by using a fuzzy adaptive PID controller. Nowadays, this controlling strategy for the induction-motor-drive plays a main role in increasing the speed response, enhancing the overall performance, and decreasing the stator flux ripples and torque ripples because of the load variation. In the industrial sector, mechanical loads require the desired speed. The direct torque control technique is an advanced technique that minimizes torque ripples as well as stator flux ripples. In this technique, two hysteresis band controllers are used. The two-level stator flux hysteresis band controller is used to control the stator flux ripples, whereas the three-level torque hysteresis band controller is used to control the torque ripples. There are two main kinds of control techniques for induction-motor-drives. The first technique is called scalar-control, and the second technique is called vector-control. This control technique is recent, advanced, and it is further divided into two techniques: field-oriented-control and direct-torque-control. The direct-torque-control technique decouples and directly controls the flux as well as torque ripples. This paper proposes a speed controller, i.e., a Fuzzy-Adaptive-PID controller, for the DTC induction motor drive in which a fuzzy-controller with 49 fuzzy rules modifies the gains of the PID-controller and controls the speed variation due to variable load and enhances motor performance. To implement the fuzzy adaptive PID speed controller for the DTC induction motor, MATLAB Simulink software is used."