A parallel control method for PMSM model prediction pi dynamic weight

Abstract

The invention discloses a model prediction PI dynamic weight concurrent control method of a permanent magnet synchronous motor, wherein the method includes steps of sampling by a control system; calculating a q axis component of a motor reference current; solving d and q axes components of actual current of the motor; applying a motor discrete prediction model and acquiring predicted voltage d and q axes components; calculating PI voltage d and q axes components; designing a dynamic weight coefficient, and calculating the reference voltage d and q axes components; applying a traditional seven-section type two-level SVPWM modulating strategy, and calculating a duty ratio of the six-path PWM impulse at k moment; outputting six paths of PWM impulses at k+1 moment and acting on a six-bridge-arm inverter, and further actually outputting corresponding reference voltage to act on the motor. The method classifies the motor current control process into dynamic and stable states; during the process of the dynamic state and the stable state, the leading function of a PI adjuster and a model prediction controller is smoothly switched according to the dynamic weight coefficient.

Description

technical field [0001] The invention relates to the field of permanent magnet synchronous motor control, more specifically, relates to a permanent magnet synchronous motor model prediction PI dynamic weight parallel control method. Background technique [0002] The PI regulator is simple in structure, stable and reliable, and is currently the most widely used in servo systems. The PI regulator is a linear regulator in principle. Increasing the gain of the PI regulator can improve the dynamic performance of the system, but too large gain will affect the stability of the system, resulting in overshoot and noise. It is difficult to balance the rapidity of response in practical applications. And stability, it is difficult to achieve the required dynamic performance of the current loop by using the PI regulator in the high-performance servo. Model Predictive Control (MPC) has experienced about 30 years of development and is widely used in industrial process control (such as chem...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies in the prior art, the present invention provides a permanent magnet synchronous motor model to predict the dynamic weight of PI in order to solve the problems of static error or oscillation in the steady state and insufficient dynamic performance of the PI regulator when the parameters of the model predictive control are inaccurate Parallel control method, the motor current control process is divided into dynamic and steady state, and the leading role of PI regulator and model predictive controller is smoothly switched according to the dynamic weight coefficient in the dynamic and steady state process respectively

Images