Soft-sensing Method And Its Application And Research In The Identification Of Induction Motor Parameters

Identification of induction motor parameters is widely used in the motor faultdetection and optimal design of motors, so motor parameter identification is of greatpractical value and significance. This method use steady-state characteristic curve, bycalculation and experimental values for fitting error sum of squares as a criterion, viaapplication of the least squares criterion function to get the motor parameters.At first this paper combined the three-phase induction motor equivalent circuitmodel with the expression of the characteristics function，in a brief description of thetwo kinds of commonly used algorithm in the motor steady state model identification:genetic algorithm in the steady-state model identification and PSO algorithm in themotor steady-state model identification. In the analysis of both advantages anddisadvantages compared to DE algorithm, then introduced DE algorithm use in theinduction motor steady-state model parameter identification.Furthermore discusses the degrees freedom of characteristic parameters, in orderto ensure that the solution of parameter identification problem is unique; in order toimprove the convergence speed and the ability of local search, make somecorresponding improvement on the DE algorithm.Finally, the method is used in parameter identification of induction motor. On onehand using the traditional parameter testing method to obtain the steady-state modelparameters; On the other hand, via using the load test of stator current, power factorand input power, through a simple DE algorithm and improved DE algorithm,obtained the corresponding results, comparison the precision of several methods forthe identification.