D-Q axis voltage ripple minimization of vector control drive using Type-2 NFS controller

The voltage ripple is reduced by using conventional proportional integral (PI) controllers require additional filter, and also occurs tuning problem with these controllers. Due to the operating point changes in conventional PI controllers get a nonlinearity output. To overcome above problem, this paper presents Type-2 Neuro fuzzy system (T2NFS) to reduce the voltage ripple in the induction motor by using indirect vector control method. The T2NFS controller performance as compared with conventional proportional integral (PI) controller, voltage ripple reduced in the induction motor without any additional filter and tuning problem is eliminated. In this, the current reference values and original values of current are fed to the T2NFS based controllers and the controller is trained based on the obtained values. The performance of induction motor with indirect vector control method by using T2NFS controllers has been simulated at different operation regions and compared results with PI controllers. The results are experimentally verified with d-space 1104.