The speed of the Induction motor can be adjusted to a great extent so as to provide easy control and high performance. In this paper an effort is made to develop a prototype model to control the speed of an induction motor using PSO-ANFIS hybrid technique. We describe the use of Particle Swarm Optimization (PSO) and ANFIS for designing an optimal fuzzy logic controller of an Induction Motor. We have used two input parameters like speed, torque and output is firing angle. PSO-ANFIS speed controller obtains better dynamic behavior and superior performance of the Induction motor speed control. Similar approach can be correlated to the control of plasma column and which can be implemented in fusion reactor to control the plasma column. Plasma position and shape control is very crucial for the overall performance of the fusion reactor such as tokamak. The quality of the discharge in the Saskatchewan TORus-Modified (STOR-M) tokamak is strongly related to the position of the plasma column within the discharge vessel. If the plasma column approaches too near the wall, then either minor or complete disruption occurs. Consequently it is necessary to be able to control dynamically the position of the plasma column throughout the entire discharge. A comparison analysis of PSO-ANFIS and Fuzzy Back Propagation algorithm is taken in our work to control the speed of induction motor, where the PSO-ANFIS gives better result in terms of fast computing.

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