异步电动机以其体积小、损耗小、结构简单、成本低廉等优点迅速占据现代调速控制领域的主要地位。现有的交流调速方法中，矢量控制可实现异步电机转矩和励磁分量的独立控制，有效的提高控制精度，因此得到广泛应用。矢量控制的关键在于磁链的准确观测，而磁链的准确依赖于电机的各个参数，参数不准会导致电机的转速失调和转矩震荡。电机参数的准确与否主要有两方面原因，一是电机设定的初始参数，二是温升和磁饱和等因素导致电机参数发生较大变化。针对以上参数问题，本论文分别从离线参数辨识和在线参数辨识进行深入研究。 首先，根据坐标变换简化异步电机的数学模型，选用矢量控制的方法，对异步电机的励磁分量和转矩分量进行解耦控制。为提高直流母线电压的利用率，采用SVPWM调制方法，建立基于转子磁链观测的矢量控制系统。 其次，为提高电机初始参数的精度，分析离线参数辨识原理。利用直流实验得出定子电阻，单相交流实验得出转子电阻以及定转子漏感，在电机空载条件下，辨识出定转子互感。接着，定性分析电机参数变化对转速、转矩以及磁链的影响，针对参数变化问题，建立辨识转子时间常数、转子时间常数和定子电阻同时辨识的MRAS系统，并通过MATLAB仿真工具进行验证。 最后，以TMS320F28335为核心控制芯片，搭建调速系统硬件平台，从硬件构架、主电路设计以及参数辨识的软件设计进行了较为详细的阐述和分析，在样机上进行了控制方案的一系列实验。实验波形与仿真波形基本一致，表明设计方法可信。

Asynchronous motorswith its small size, low dissipation, simple structure, low cost ,quickly occupy the dominant position in the field of modern speed control. In the existing AC speed control method, the vector control independently controls the torque and the excitation component of the asynchronous motor, which effectively improves the control accuracy,and thus has been widely used.The key to vector control lies in the accurate observation of the flux linkage, and the accuracy of the flux linkage depends on various parameters of the motor. Inaccurate parameters can cause the motor's rotational speed to fluctuate and torque oscillation.There are two main reasons for the accuracy of the motor parameters. One is the setting of the motor's initial parameters, and the other is that the temperature rise and magnetic saturation cause a large change in the motor parameters.To solve the above problems, this dissertation studies the off-line parameter identification and on-line parameter identification. Firstly, the mathematical model is simplified on the basis of the mathematical transformation and vector control of the motor, and the excitation and torque components of the asynchronous motor are decoupled. An MRAS vector control system based on rotating magnetic field orientation is proposed.The SVPWM modulation method was used to establish vector control system. to improve bus voltage utilization. Secondly, to improve the accuracy of the motor's initial parameters, the offline parameter identification principle was analyzed. The stator resistance, rotor resistance, and stator leakage inductance were identified by DC and single-phase AC experiments. Under the condition that the motor was idling, rotor mutual inductance.was determined. Then, qualitative analysis of the influence of changes in motor parameters on speed, torque, and flux linkage is performed. For the parameter change problem, an MRAS system that recognizes the rotor time constant, rotor time constantand stator resistance simultaneously is established and validated by a MATLAB simulation tool. Finally, TMS320F28335 is used as the core control chip to build the hardware platform of the speed control system. The hardware architecture, main circuit design and software design for parameter identification are elaborated and analyzed in detail. A series of experiments on the control scheme are performed on the prototype.The experimental waveforms and simulation waveforms are basically the same, indicating that the design method is credible.