A stochastic failure compensation controller of induction motor based state estimation technique

The purpose of this paper deals with the stochastic failure compensation controller of induction motor based state estimation technique. It is well known that induction motor drives are widely used as important parts in industrial applications. In consequence it must be carefully controlled to ensure optimum, profitable and reliable operations. However induction motor drive systems are also known as complex non-linear time-varying systems. Based on the fact that the system model can be significantly simplified if one applies in addition with the d-q Park transformation an appropriate field orientation technique, an adequate model structure of the induction motor is obtained. The observer-based state variable estimation technique, stochastic and determinist, is used for control and monitoring of the considered induction motor system. Finally a simulation example of is given to point out the merits of the proposed approach for stochastic optimal compensation and control for induction motor.