Positive and negative sequence harmonic injection-based motor rotor primary position estimation method

Abstract

The invention discloses a positive and negative sequence harmonic injection-based motor rotor primary position estimation method. The method improves the estimation angel error generated when a traditional rotary high-frequency injection method is used for estimating a d axis position. A stator resistor and a nonlinear feature of an inverter dead zone are comprised, and influences of line time delay and filter delay on the rotor primary position are analyzed, so the primary d axis position of a rotor can be more accurately, faster and more stably estimated; the polarity of magnetic pole of a permanent magnet is distinguished by a magnetic saturation effect on the d axis through estimation, and finally the accurate rotor primary angle is obtained. The positive and negative sequence harmonic injection-based motor primary position estimation method is easy to realize, has very strong antijamming capacity, and can more accurately, faster and more stably measure the primary position of the rotor.

Description

technical field [0001] The invention belongs to the technical field of motors, and in particular relates to a method for estimating the initial position of a motor rotor based on positive and negative sequence harmonic injection. Background technique [0002] To accurately control the motion state of the permanent magnet synchronous motor, it is necessary to know the real-time rotor position signal of the motor, so the traditional permanent magnet motor generally uses an additional position sensor to detect the rotor position. However, the use of a position sensor not only increases the cost and the complexity of the motor structure, but also in some high temperature, high pressure or strong corrosive environments, the position sensor will reduce the reliability of the system or the sensor will not work properly. Therefore, realizing the position sensorless control of permanent magnet synchronous motor has become one of the important directions in the development of permanen...

AI Technical Summary

Problems solved by technology

This method is widely used in the field of position sensorless control technology of motors, and the technology is relatively mature, but the intermediate quantities in the calculation process are all AC quantities, which require relatively high calculation speed and accuracy for the processor, and are easily affected by the intermediate Influence of amplitude-frequency characteristic and phase-frequency characteristic of link filter

For the hidden pole permanent magnet motor, the calculation process of this algorithm is relatively simple and easy to implement, and the intermediate calculation link can also be simplified. However, for the salient pole motor, the calculation process needs to roughly estimate the rotor position in advance, and then calculate the estimated value. Correction, which greatly increases the amount of calculation, and increases the error of the observation results, and at the same time the time required for the calculation process increases, making the dynamic performance of the control system worse

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