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Parameter Self-adjusting Method And Its Application Software Development For IM

Posted on:2015-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:C H HouFull Text:PDF
GTID:2322330485996126Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
At present time, the idea of vector control has been widely used in various fields. Through the coordinate transformation, it realizes the decoupling control of the induction motor, so as to achieve the dynamic speed regulation performance as well as dc motor. In vector control system, the accuracy of flux estimation is the key to the decoupling control, and to a large extent, flux estimation depends on the accuracy of the motor parameters, so an accurate motor parameter is a necessary condition for that the vector control can achieve high performance. Motor parameter accuracy is one of the important topics in the field of AC driving research, induction motor parameter identification has been the focus of scholars at home and abroad.This paper mainly studied the off-line self-adjusting method of IM parameter. On the basis of the mathematical model and equivalent circuit model analysis of AM, a set of parameter identification method when motor keeps quiescent is proposed. Its main idea is: using the inverter,expectations of excitation signal waveform are added to the asynchronous motor, the current sensor gathers the transient response curve of the current. The sampling information is processed via DSP to identify the motor parameters which is necessary for motor running.This paper has made a comprehensive study of theory analysis, introduction of algorithm, software implementation, simulation and experimental validation. Firstly, the influence on motor control performance of parameter variation is analysed; Secondly, the identification methods of different parameters are proposed, such as the stator resistance, leakage inductance and mutual inductance, and a detailed derivation process is given; Thirdly, using of C language and assembly language programming, the identification algorithm is realized on the DSP motion control platform, details of the algorithm implementation are fully expounded; Finally, with a 0.37 Kw motor as test object, MATLAB simulation environment and DSP motion control platform are provided to verify the performance of the algorithm, The results of the simulation and experiment are given, the identification results have a certain accuracy and can be used to motor control systems such as vector control.
Keywords/Search Tags:Asynchronous motor, DSP, Self-adjusting, Parameter identification, MATLAB
PDF Full Text Request
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