PID separated parameter setting method based on particle swarm algorithm

Abstract

The invention discloses a PID separated parameter setting method based on a particle swarm algorithm, which comprises the following steps of: initializing and setting the number of particles, an inertial coefficient, an acceleration coefficient, the particle maximum iteration number, and an initial velocity of particle swarm, a space position component of each particle and a PID initial value corresponding to each particle; calculating an object function value corresponding to each particle; updating the position of an individual optimal particle, the position of a global optimal particle and the position component of each particle according to the object function value, and then updating the PID value corresponding to the iteration of each particle according to a PID mapping formula; repeating the iteration until the iteration ends; and outputting a global optimal PID parameter value and a corresponding PID value. According to the invention, a PID mapping algorithm is added to a conventional particle swarm optimization algorithm, and the particle space position component can be mapped to a three-dimensional PID parameter space. Thus the optimal particle position can be screened by using the algorithm, and the PID parameter setting efficiency is improved.

Description

technical field [0001] The invention relates to a PID parameter tuning method of an AC motor, in particular to a parameter tuning method based on particle swarm algorithm PID separation. Background technique [0002] As the earliest practical controller, PID (proportion, integral, derivative) controller has a history of nearly one hundred years. The PID controller is easy to understand and does not require precise system models and other prerequisites, so it has become the most widely used controller and is widely used in industrial control, such as motor speed control systems. However, traditional PID values ​​are usually adjusted manually, which takes a lot of time and is often not easy to obtain the optimal PID parameters. Therefore, researchers at home and abroad have done a lot of research on the PID tuning amplification, but the PID parameter tuning of the speed controller of the AC motor is still a problem to be perfected and solved. Contents of the invention [0...

AI Technical Summary

Problems solved by technology

However, the traditional PID value is usually adjusted manually, which takes a lot of time and is often not easy to obtain the optimal PID parameters.

Therefore, researchers at home and abroad have done a lot of research on the PID tuning amplification, but the PID parameter tuning of the speed controller of the AC motor is still a problem to be perfected and solved.

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