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

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 1999-12-25

著者

• Lin Ming-Chang

  Department of Power Mechanical Engineering, National Tsing Hsu University

• Wang Hsiu-ping

  Department Of Mechanical Engineering Lunghwa Institute Of Technology

• Wang Hsiu-ping

  Department Of Electrical Engineering Chung-cheng Institute Of Technology

• LIN Jium-Ming

  Department of Mechanical Engineering, Chung Hua University

• Lin Ming-chang

  Department Of Electrical Engineering Chung Cheng Institute Of Technology

• Lin J‐m

  Tele‐infonet Incorporated Taipei Twn

• Lin Jium-ming

  Department Of Mechanical Engineering Chung-hua University

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• LEQG/LTR Controller Design with Extended Kalman Filter for Sensorless Induction Motor Servo Drive
• MS Location Estimation with Genetic Algorithm
• Geometrical Positioning Schemes Based on Hybrid Lines of Position

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