EKF-based rotating speed control method of sensorless ultra-high speed permanent magnet synchronous motor

Abstract

The invention discloses an EKF-based rotating speed control method of a sensorless ultra-high speed permanent magnet synchronous motor. The method comprises the following steps of building a mathematical model of the motor and converting the mathematical model into a state equation; carrying out linearization and discretization, substituting the discrete linear state equation into an extended Kalman filter (EKF) for recursive computation, updating a variance matrix P and a gain K in the EKF in real time to update a state variable; and finally estimating the rotating speed of the motor in the dynamic operation process in real time. The rotating speed estimation method is applied to an SVPWM-based ultra-high speed motor direct torque control system; the adaptivity of the system is improved by a fuzzy PID controller; and fast, stable and reliable rotating speed control on the ultra-high speed permanent magnet synchronous motor is effectively achieved.

Description

technical field [0001] The invention relates to the field of motor control, in particular to a sensorless ultra-high-speed permanent magnet synchronous motor speed control method based on EKF. Background technique [0002] Ultra-high-speed permanent magnet synchronous motors are small in size, light in weight, high in power density, high in reliability, and good in dynamic response performance. They have broad application prospects in industrial manufacturing, aerospace, energy, ships, medical and defense industries. The development of its related technologies adapts to the development trend of contemporary ultra-high-speed and ultra-precision industrial processing technology, and promotes the rapid development of modern industry and science and technology. Ultra-high-speed permanent magnet synchronous motor drive control technology has become a current research hotspot. [0003] Ultra-high-speed permanent magnet synchronous motor encoders are difficult to install, high in c...

AI Technical Summary

Problems solved by technology

The direct calculation method and the back electromotive force method use the arctangent function calculation, which belongs to the open-loop estimation method. The calculation is relatively simple, but it is highly dependent on the motor parameters, and the arctangent function is easy to cause large jitter errors; the MRAS method is based on the reference model. The estimation accuracy is still affected by the motor parameters; the high-frequency injection method is suitable for low-speed estimation. In addition, due to the complicated signal processing process, tracking failure will occur when the load is suddenly added, unloaded or the speed command changes greatly, and there are high-frequency The problem of noise; the intelligent control method does not completely rely on the mathematical model of the motor, fully considers the inaccuracy and uncertainty of the system, and only controls according to the actual effect, which has a good control effect, but there are few achievements in intelligent control to estimate the speed at present. There are still many theoretical and technical problems to be solved, and there is still a lack of objective theory on system performance, and the system is complex, the amount of calculation is large, and the hardware requirements are high. At present, there are few applications. Generally, it is combined with traditional methods for crossover. control

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