異步電動機參數(shù)自整定算法研究及軟件開發(fā)
[Abstract]:Vector control is widely used in AC drive field by virtue of its ideal speed regulation performance. Through coordinate transformation, the nonlinear dynamic mathematical model of asynchronous motor in three-phase static coordinate system is transformed into a two-phase quadrature synchronous rotating coordinate system oriented by rotor magnetic field. A mathematical model similar to that of a shunt DC motor can be obtained. In order to realize the complete decoupling of the torque and flux, the rotor flux must be accurately observed. The accuracy of the rotor flux voltage observation model and the current observation model depends to a great extent on the accuracy of the motor parameters in the model. Therefore, the accurate knowledge of motor parameters is the key of vector control to achieve high performance speed regulation. With the aging of the motor, the parameters of the motor will deviate from the parameters of the factory, and the temperature, current frequency and magnetic circuit saturation will also change the parameters of the motor. Therefore, the parameter identification of asynchronous motor is always an important research topic of AC speed regulation. In this paper, the self-detection algorithm of asynchronous motor parameters is studied. In the case of no manual participation, the controller applies voltage signals to the motor according to the algorithm, collects the current response and stores it with its own hardware resources. Then the motor parameters are calculated according to the voltage and current. This paper briefly introduces the factors that cause the change of motor parameters, and according to the vector control principle of asynchronous motor, theoretically analyzes the influence of the parameter change of asynchronous motor on the speed regulation performance of the system. Then, based on the inverse 螕 type equivalent circuit of asynchronous motor, a self-identification algorithm for motor parameters is proposed. The algorithm can identify the stator resistance, rotor resistance, total leakage inductance, mutual inductance and excitation curve of the motor under the condition of keeping the motor static. The identification algorithm is discussed from the aspects of theoretical derivation and software implementation, and the possible faults in the identification process are analyzed. Finally, a 0.37Kw motor is taken as the experimental object. C language is used to realize the identification algorithm on the control platform with TMS320F28035 as the main control chip, and the identified parameters are applied to the indirect vector control. It is verified that the parameters identified by this algorithm can meet the requirements of the speed regulation system.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TM343;TP311.52
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