Asynchronous motor key state information tracking method based on improved particle swarm optimization

Abstract

The invention discloses an asynchronous motor key state information tracking method based on improved particle swarm optimization. The method includes the steps of firstly, randomly setting a particle swarm in the experience parameter range of a motor; secondly, using the particle swarm optimization to search for a global historical optimal position, and setting the initial position of a water as the optimal position; thirdly, redeploying the particle warm near the watcher, and using the current optimal rule to determine the position updating of the watcher. The improved particle swarm optimization can detect target function change and track parameter change in real time. The method has the advantages that the parameter identification problem of the motor is regarded as an optimization problem, and optional amount of parameters can be theoretically identified and tracked; the classical particle swarm optimization cannot be applied to target function change, and the application range of the particle swarm optimization is widened; the method is high in universality, high in portability and suitable for objects such as the motor with slow target function change.

Description

technical field [0001] The invention discloses a method for tracking parameters of an asynchronous motor, in particular to a method for tracking motor parameters based on a particle swarm algorithm, and belongs to the field of motor parameter identification. Background technique [0002] Vector control, or coordinate transformation control, is one of the main control schemes in current high-performance motor control applications. At the same time, in order to improve system reliability, simplify system design, and reduce system cost, it is often necessary to introduce no-speed sensor technology. [0003] The key to ensure the control performance of the above-mentioned system lies in the accurate identification of the rotor time constant and the accurate observation of the rotor speed. If the motor needs to run in the low-speed area or high-speed area, it is also necessary to identify the resistance and excitation inductance. [0004] So the concept of key state information...

AI Technical Summary

Problems solved by technology

The result of the former is that the motor system deviates from the original operating state due to the injected excitation, resulting in a decrease in system performance; the latter is due to the limitations of the accuracy of the sensor, the frequency bandwidth of the analog channel, and the resolution of the ADC. The accuracy of the observation cannot meet the requirements

Images