Abstract
High-performance control of induction motors is inseparable from accurate motor parameters. Online identification of parameters can provide accurate parameters for motor control in real time, so it is particularly important. In this paper, the traditional voltage flux observer is improved. The high-pass filter is connected in series with low-pass filter, and then the amplitude and phase compensation methods are used to obtain the improved voltage-type flux linkage observation method. The current-type flux linkage observation method is also introduced. Then the principle of the model reference adaptive system is studied. Combined with the super-stability theory, an algorithm for identifying the rotor time constant on-line is designed based on the rotor flux linkage. Through the combination of simulation and experiment, the observation effect of two flux linkage observation methods is verified on a 160kW motor. At the same time, the online identification algorithm of rotor time constant is studied under different speeds and different parameters. The results verify its accuracy and effectiveness.
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