Fault diagnosis method of permanent magnet synchronous motor position sensor

Abstract

The invention discloses a fault diagnosis method of a permanent magnet synchronous motor position sensor. The method comprises the steps of firstly constructing a permanent magnet synchronous motor driving system, and building all modules and integrating the whole driving system; secondly, completing the common fault classification induction of the permanent magnet synchronous motor position sensor through mathematical modeling; then respectively measuring and calculating a rotor position signal value at the moment t and a signal estimation value under a position-free algorithm; and finally, according to the fault diagnosis criterion of the position sensor of the permanent magnet synchronous motor, performing fault diagnosis on the position sensor of the motor and judging the specific fault type. The method is simple and easy to implement, high in reliability, rapid in diagnosis process and accurate in fault result judgment, faults can be diagnosed in time, healthy operation of the permanent magnet synchronous motor is facilitated, the operation stability of the position sensor is improved, and the robustness of a permanent magnet synchronous motor driving system is enhanced.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of a permanent magnet synchronous motor, in particular to a fault diagnosis method for a position sensor of a permanent magnet synchronous motor. Background technique [0002] With the development of multi-electric, all-electric aircraft and hybrid and pure electric vehicles, the motor drive system has ushered in new development opportunities and challenges. In addition to requiring high power density and high efficiency, it also needs to have high output performance and high reliability. performance, which has become the key to the motor drive system. In the 1990s, the appearance of permanent magnet synchronous motor and its control system improved the safety and reliability of the system, and it has now been applied to the aviation field. However, for the permanent magnet synchronous motor drive system, some sensor failures often occur, and the accuracy of the feedback of each sensor is...

AI Technical Summary

Problems solved by technology

However, the fault diagnosis methods of sensors can be roughly divided into hardware methods and software methods. The hardware fault diagnosis methods for position sensors are usually effective and feasible for a small number of position sensor faults. However, if a large number of position sensors of the same electrical equipment fail, the The hardware detection method will have a series of slow diagnosis speed and large resource consumption, which means that the motor will run for more time in the fault state, increasing the loss and risk of the system

At the same time, there are also shortcomings such as the number of sensors and the need for electrical equipment, which will inevitably lead to problems such as complex design of the drive system, lack of intelligence in diagnostic methods, and failure to judge the type of fault.

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