Induction motor speed sensorless control method based on model reference adaptive algorithm

Abstract

The invention discloses an induction motor speed sensorless control method based on a model reference adaptive algorithm. The method utilizes an induction motor voltage and current model to realize observation of a rotating speed and a rotor flux linkage. Firstly, a stator current is sampled, and a stator voltage us is estimated according to a direct-current voltage and a switching state; secondly, the rotating speed and the rotor flux linkage are observed in real time through a model reference self-adaptive algorithm according to is and us, and a fuzzy PI controller is adopted for rotating speed estimation in the model reference self-adaptive algorithm; and finally, vector control is implemented based on rotor magnetic field orientation by utilizing the observed rotating speed and rotor flux linkage information, and the rotor flux linkage and the rotating speed of the motor are controlled to follow given values. According to the induction motor speed sensorless control method, the stator voltage does not need to be sampled, the hardware cost can be reduced, and the system reliability can be improved; meanwhile, the fuzzy PI controller can overcome the defects that a traditional PIcontroller is low in convergence speed, large in overshoot, oscillated and the like, and the response speed of the system is increased.

Description

technical field [0001] The invention relates to a speed sensorless control method of an induction motor based on a model reference self-adaptive algorithm, which belongs to the field of motor drive and control. Background technique [0002] The induction motor has the advantages of simple structure, low cost and wide speed range, and is widely used in lathe processing, electric vehicles and other occasions. Compared with the traditional V / F control, vector control has the advantages of high voltage utilization and high efficiency. Therefore, more and more inverters and controllers use vector control algorithms to realize speed control of induction motors. However, to achieve closed-loop control of the speed, the speed information of the motor must be obtained. Usually, the speed information is detected by installing an additional speed sensor (such as a photoelectric encoder), which increases the cost and complexity of the system. Therefore, sensorless control of induction ...

AI Technical Summary

Problems solved by technology

[0004] Technical problem: In view of the above existing technologies, provide a speed sensorless control method for induction motors based on a model reference adaptive algorithm, without adding additional hardware costs to detect the stator voltage and solve the problem of slow speed, overshoot, and oscillation in traditional PI control And other issues

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