Permanent magnet synchronous motor unposition sensor control method

Abstract

The invention discloses a permanent magnet synchronous motor unposition sensor control method, which concretely comprises the following steps of: step 10, collecting three-phase voltage of a permanent magnet synchronous motor, switching the three-phase voltage to a dd coordinate system, and obtaining voltage ud and uq in a dq axis; step 20, collecting three-phase current of the permanent magnet synchronous motor, switching the three-phase current to a dq coordinate system, and obtaining current id and iq in the dq axis; step 30, adopting a sliding mode variable structure model reference adaptive system-based algorithm to obtain a rotor estimated electric angle speed and a rotor position of the permanent magnet synchronous motor; and step 40, according to the rotor estimated electric angle speed and the rotor position obtained in the step 30, realizing unposition sensor rotation speed close-loop vector control of the motor. The permanent magnet synchronous motor unposition sensor control method has the advantages of low cost, simple control algorithm, high rotation speed and position estimation speed, high estimation accuracy, and the like.

Description

technical field [0001] The invention relates to a position sensorless control method of a permanent magnet synchronous motor, which belongs to the field of motor control. Background technique [0002] Since the permanent magnet synchronous motor (PMSM) has the advantages of small size, high efficiency, high reliability and strong adaptability to the environment, the permanent magnet synchronous motor has been widely used in various high-performance drives. The drive of the permanent magnet synchronous motor relies on mechanical sensors to detect the accurate rotor speed and rotor position of the motor. These sensors usually include photoelectric encoders and resolvers. The existence of the sensor increases the cost of the control system, reduces the reliability of the system, and also limits the application of the permanent magnet synchronous motor in some special occasions. [0003] In order to overcome the defects brought by traditional mechanical sensors to the system, s...

AI Technical Summary

Problems solved by technology

The model reference adaptive method uses the PI controller to obtain the estimated speed, but the parameter adjustment of the PI controller is difficult, and the performance of the PI controller with constant parameters will be affected as the motor speed changes

At the same time, the resistance, inductance and other parameters of the motor will change during operation, which will also affect the accuracy of the MRAS observer's speed estimation.

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