Research On Parameter Identification Of Asynchronous Motor Vector Control System

With the development of power electronics technology and inverter technology continue to mature, the computing power of controller chip has greatly increased, the AC drive technology become more and more mature. As a modern AC drive system, asynchronous motor vector control method has gradually been widely applied. The performance of vector control system relies on the parameters of the motor itself.The scope of offline asynchronous motor parameter identification is limited, and along with the change of working condition of motor parameter also can produce larger changes, so,the traditional online identification has some disadvantages. In response, the dissertation focuses on the asynchronous motor parameters online identification problem.To start with, the development of AC drive technology is described briefly, common parameter identification methods for electric motors are compara control strategy of motor, the application range of identification method and its advantages and disadvantages are summarized separately. Then it analyzes the mathematical model shows the basic principle of vector control and constructs a state space model to go into its characteristics.In the second place, this paper introduces traditional ways to measure motor parameters, builds a simulation model about asynchronous motor vector control system on the foundation of MATLAB, and to analysis and prove how the change of parameter influence rotor flux and speed control system. Then to design adaptive rate on the basis of Popov Super Stability Theory and use the way of MRAS to identify rotor time constant online. In this process, current model and voltage model of rotor flux are regarded as adjustable model and reference model respectively. At the same time, particle swarm optimization and differential evolution, two kinds of intelligent arithmetic should be used to identify the parameters of asynchronous motor. Afterwards the shortcomings of differential evolution is improved, several identification results are compared, and the improved algorithm is more accurate.Finally, to build the vector control system of asynchronous motor based on DSP2812. This will lay a solid foundation for the combination between simulation and hardware implementation.