Vector Control of Induction Motor Drive Using Optimized GA Technique

In this paper, we present the design of a Proportional Integral (PI) controller using Genetic Algorithm (GA) to control the speed of an induction motor (IM). The GA methods have been employed successfully to solve complex optimization problems. The main advantage of this metaheuristic method (GA) is its simplicity and robustness. Only speed error is employed as input to the GA so that the computational burden of the GA is reduced and drastically decrease the rise time. It becomes suitable for real-time industrial drive applications. The goal of this work is to show that the optimization by GA gives us the possibility of designing a powerful PI controller by optimizing its parameters. The proposed GA based controller does not decrease the system performance as compared to the conventional controller and Neuro-Fuzzy Controller (NFC). In order to prove the performance of the proposed method, the comparative study has been carried out between the proposed, existing and conventional methods.