Speed Sensorless Control of a Bearingless Induction Motor Based on Modified Robust Kalman Filter

다국어 초록 (Multilingual Abstract)

To enhance the speed identifcation accuracy in speed sensorless control of a bearingless induction motor (BIM), a speed sensorless control strategy based on modifed robust Kalman flter is proposed. Firstly, the suboptimal principle of the H∞ control method is introduced into the extended Kalman flter to construct the robust Kalman flter. Secondly, the rotor fux linkage of the BIM in the α-β coordinate system is discretized, which is used as a reference model and adjustable model in the model reference adaptive system. At the same time, the modifed robust Kalman flter is obtained by combining the robust Kalman flter with the model reference adaptive system. Finally, the simulation and experimental results show that the proposed BIM speed sensorless control system based on modifed robust Kalman flter has higher accuracy of speed identifcation than the extended Kalman flter control under diferent operation conditions of no-load, sudden load, speed change, and motor parameter mismatch. The motor also has a good suspension performance.

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