Research On Vector Control System Of Speed ??Sensorless Permanent Magnet Synchronous Motor Based On UKF

In terms of rotational inertia,the rotational inertia of Permanent magnet synchronous motor is relatively small,in order to improve the operating efficiency and at the same time to get high dynamic performance,this kind of motor characteristics is widely used in the control system[1].The permanent magnet synchronous motor,the control strategy can be widely used because the vector control technique can decouple the coupling of current excitation and torque component.But the presence of mechanical sensors will undoubtedly increase the operating costs of the system.Meanwhile,in order to detect the accuracy of the data,The high-precision sensor and permanent magnet synchronous motor shaft requires a high degree of coaxial,This is a great test for installation and maintenance.In the actual production,The environment of control process has an important influence on the high precision sensor.To resolve the above problems,the advent of speed sensor technology can be a good solution to the questions.In the actual control of the production process has been initially achieved.The theoretical basis of this technology is to obtain the motor input winding side of the voltage and current signal,then the motor rotor position and the speed of the signal using a fixed estimation method online calculation,the above calculated method calculate the signal first,then through the coordinate transformation technology Feedback link,finally through the pulse width modulation technology to generate control signals required to control the system to achieve the purpose of controlling permanent magnet synchronous motor[2].In this paper,firstly,we propose the idea of extended Kalman filter(EKF)to build a vector control system model of permanent magnet synchronous motor,second,realize the speed sensorless technology of the control system.The model verifies that the control system can complete the real-time control of the motor speed,under different control periods and under different control conditions.But there is a large speed error between the actual speed and the estimated speed of the control system,the square root is also large.In this case,this paper focus on improving the filtering accuracy of the control system,in order to reduce the speed error between the two.Aiming at the above problems,it is proposed to simulate the control system.The vector control system of EKF can achieve the speed error of the actual speed and the estimated speed.This indicates that the control system can improve the speed tracking effect of the system so that the control performance of the control system can be improved.However,in the study of the UKF-based control system model,it is easy for the control system to filter the divergence problem when the single run time of the program is too long.In order to solve the above problems,a vector control system simulation model of AISR-UKF algorithm is established.The simulation results show that the algorithm can effectively reduce the single operation time of the algorithm while ensuring the filtering accuracy of the system is high.Because the error between the actual speed and the estimated speed is smaller than that of the UKF in each time period,the running time of algorithm is shorter than EKF,indicating that The computational complexity of the algorithm is low and the computational complexity is small.