Analysis and Design of Adaptive Algorithm for Feedback Matrix of Asynchronous Motor

The adaptive full-order observer of asynchronous motor consists of the feedback matrix and the adaptive theory, in which different feedback matrices will affect the stability of the observer and the accuracy of the speed estimation. By analyzing the three commonly used feedback matrix design methods, it is found that the speed estimation is inaccurate, the load capacity is weak, and the stability is poor in the low speed range. A new speed adaptive feedback matrix algorithm designed for this problem. This feedback matrix can reduce the influence of nonlinear voltage error on the estimated speed and improve the low-speed performance of the system under the premise of ensuring stability in the full speed range. It is verified by the 2.2kW asynchronous motor experimental platform. The experimental proves that the feedback matrix algorithm can ensure the motor to operate with rated load at low speed.