A Parameter Identification Method of Asynchronous Motor Based on Improved Particle Swarm Optimization Algorithm
A technology for improving particle swarm and asynchronous motors, applied in the estimation/correction of motor parameters, etc., can solve problems such as inability to obtain the steady state and dynamic characteristics of asynchronous motors, poor identification of asynchronous motor parameters, and poor stability of measurement results , to achieve the effects of fast optimization speed, high stability, and simplified update formula
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[0042] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0043] Such as figure 1 It is the schematic diagram of parameter identification of asynchronous motor using improved particle swarm optimization algorithm. By constructing the steady-state model of the three-phase asynchronous motor, the motor identification parameters obtained by the improved particle swarm optimization algorithm are substituted into the steady-state model, and then compared with the actual measured working characteristic values to obtain the fitting error input optimization algorithm, through the search Optimizing, and finally obtain the parameters of the asynchronous motor. The specific steps are as follows:
[0044] Step S1: first establish a T-shaped equivalent circuit model of a three-phase asynchronous motor.
[0045] Furthermore, the stator phase current and motor power factor of the asynchronous motor are se...
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