Self-adaptive alternating current servo motor current control method and system

Abstract

The invention discloses a self-adaptive alternating current servo motor current control method and system. The method comprises the following steps: acquiring an original three-phase alternating current motor current; inputting the original three-phase AC motor current to a current vector conversion module to generate first target data; inputting the first target data into a current control loop, and taking a time derivative from the first target data to generate second target data; and inputting the second target data and the output of the current control loop to an incremental inverse dynamics control module at the same time. And the output of the incremental inverse dynamics control module is input to the current vector inverse transformation module. According to the method, a motor model required by controller parameter setting is not needed, so that the problems that in the prior art, motor model identification, especially online model identification, greatly increases the complexity of a system, and model identification cannot ensure that correct models and model parameters can be always obtained; and fuzzy control, sliding mode control, neural network-based control and model reference self-adaption cannot ensure the stability of the algorithm and the stable work in any working condition load interference environment.

Description

technical field [0001] The invention relates to the field of motor control, in particular to an adaptive AC servo motor current control method and system. Background technique [0002] With the continuous development of intelligent technology, more and more intelligent devices are used in people's life, work and study. The use of intelligent technology has improved the quality of people's life and increased the efficiency of people's study and work. In the field of motor control, the motor system is essentially a nonlinear, time-varying and uncertain system, and the design of the control system requires the use of nonlinear adaptive control algorithms. [0003] At present, the servo control system algorithms of all motors adopt the traditional PID control algorithm. The PID control algorithm is a control algorithm based on a linear system. When using the PID algorithm to control a nonlinear servo motor, the problem encountered is how to set the proportional, integral and di...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides an adaptive AC servo motor current control method and system to at least solve the problem of motor model identification in the prior art, especially the online model identification It greatly increases the complexity of the system, and the model identification cannot guarantee that the correct model and model parameters can always be obtained. Fuzzy control, sliding mode control, neural network-based control and model reference self-adaptation cannot guarantee the stability of the algorithm and the load disturbance in any working condition. Technical issues of stable work in the environment

Images