Approach Of On-line Parameter Identification For Asynchronous Machine

There are two kinds of methods for parameter identification at present. The one is making use of frequency response of system, the other is identification in time domain. The former has the well-developed algorithm, which is stable and can own some function of filter. However, too strictly demand about inputs and analysis of frequency response based on linear system stop it developing deeply. The latter is a simple approach, without any limits. The greatest advantage is that the results include many natural factors so long as identification is successful. But on-line identification also meets some difficulty such as disadvantage, unstable parameter and extra input which will cause motor work abnormally. There two kinds of algorithm in identification in time domain, the extended Kalman filter and recursive least square estimation, which also have problems of convergence and linearization errors.This paper explains the theory of approaches of identification above and discusses their application with some example, then sets forth a plan that real-time measures parameter of induction by transform the leakage inductance on rotor to stator in T topol configuration. The paperexpatiates the feasibility of the plan in theory and proves its veracity by simulation, and finally show it is a good plan that use less time, cause less changes to the drive, but results is satisfied.