LEQG/LTR controller design with extended Kalman filter for sensorless induction motor servo drive

In this paper, the Linear Exponential Quadratic Gaussian with Loop Transfer Recovery (LEQG/LTR) methodology is employed for the design of high perform ance induction motor server systems. In addition, we design a speed sensorl ess induction motor vector controlled driver with both the extended Kalman filter and the LEQG/LTR algorithm. The experimental realization of an induc tion servo system is given. Compared with the traditional PI and LQG/LTR me thods, it can be seen that the system output sensitivity for parameter vari ations and the rising time for larger command input of the proposed method can be significantly reduced.