Real-time implementation in DSPACE of intelligent vector control of induction motor

The induction motor has a multi-variable model, nonlinear and strongly-coupled. Due to parameters variation during operation of induction motor, the decoupling implemented by field oriented control is destroyed. For that, a novel method named as Fuzzy vector control for induction motor is proposed. This technique is used to replace the block of Field oriented control with a new block control its role is to maintain the decoupling and overcome the problem of robustness with respect to the parametric variations. The simulation results show that the two control schemes provide in their basic configuration, comparable performances regarding the decoupling. However, the choice of the Fuzzy vector control appears advantageous from the point of view robustness. The fuzzy vector control scheme is successfully implemented in real-time using a digital signal processor board DS 1104. The efficacy of this technique is verified as well as experimentally at different dynamic operating conditions such as parameter variations and the change of speed. The fuzzy vector control is found to be a robust control for application in an induction motor.