Motor non-speed sensor control method for smoothly switching composite rotating speed identification

Abstract

The invention discloses a motor non-speed sensor control method for smoothly switching composite rotating speed identification. In the method, the model reference fuzzy self-adaptive rotating speed identification of the magnetizing current reactive power is adopted for identifying the rotating speed of the motor in high speed; the slip angular speed ring opening rotating speed identification is adopted for identifying the rotating speed of the motor in low speed; the method for smoothly switching factors is adopted for smoothly transiting the two motor rotating speed identification methods, thus realizing the composite identification of the high and low rotating speed of the motor in the starting process of the motor. The invention has the beneficial effects that the method solves the contradiction that the indexes of the dynamic property and the steady-state performance in the traditional single rotating speed identification speed can not be simultaneously optimized so that the motor has the good rapidity and strong dynamic track during the starting; in the steady-state process, the overshoot is small and the speed control precision is high; the method has the complete robustness for the state resistance, can implement the vector control of the non-speed sensor in a wider speed range, thus realizing the composite identification of the high and low rotating speed of the motor in the true sense.

Description

technical field [0001] The invention relates to a motor control technology, in particular to a motor speed sensorless control method for smooth switching compound speed identification. Background technique [0002] In the speed control system of an AC asynchronous motor (hereinafter referred to as "motor" or "motor"), in order to control the speed of the motor for closed-loop starting, many conventional motor control systems use speed sensors (such as photoelectric encoders, speed measuring motors, resolvers, etc. ) to detect the motor speed feedback signal; these speed sensors are installed on the shaft of the motor, which not only needs to be installed and maintained, but also increases the cost of the control system, which is also susceptible to interference and is not suitable for use in harsh environments work, which reduces the stability and reliability of the system; if the speed sensor is not used, only the motor speed is obtained according to the voltage and current...

AI Technical Summary

Problems solved by technology

Since the system involves high-frequency generators, high-frequency extractors and adaptive regulators, many links are required, and the actual calculation and debugging are complicated

[0007] To sum up, most of the currently known AC asynchronous motor speed sensorless vector control systems use a single speed identification scheme; for the introduction of artificial intelligence fuzzy control, smooth switching can be achieved in a wide speed range, and the switching speed can be adjusted. The composite speed identification technology of the trajectory has basically not been involved

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