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[Author] Ming-Chang LIN(1hit)

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  • LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive

    Jium-Ming LIN  Hsiu-Ping WANG  Ming-Chang LIN  

     
    PAPER-Systems and Control

      Vol:
    E82-A No:12
      Page(s):
    2793-2801

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