Finite state set asynchronous motor model prediction flux linkage control method and device

Abstract

The invention discloses a finite state set asynchronous motor model prediction flux linkage control method. The method includes the steps that a torque instruction is obtained through a speed external loop PI adjustor, and a flux linkage amplitude instruction is set to be at a rated value; an equivalent stator flux linkage vector instruction is obtained; duty ratios corresponding to three voltage vectors are calculated; a stator flux linkage vector instruction at the next moment is predicted; the three voltage vectors making the target function value be minimum and the corresponding duty ratios are selected to serve as the optimal output information of a prediction controller; according to the optimal output information of the prediction controller, driving signals of all switch tubes of an inverter are constructed. The invention discloses a finite state set asynchronous motor model prediction flux linkage control device. According to the finite state set asynchronous motor model prediction flux linkage control method and device, the problems that according to a traditional model prediction control scheme, complicated weight coefficient debugging is needed, steady state torque and current ripples are large, the requirement for sampling frequency is high, and switching frequency is not fixed are solved.

Description

technical field [0001] The invention relates to the technical field of high-performance asynchronous motor speed regulation control, in particular to a finite state set asynchronous motor model prediction flux linkage control method and device. Background technique [0002] Finite state set model predictive control is an online optimization control algorithm. Due to its simple concept, easy consideration of system constraints, and excellent multivariable control capabilities, it has attracted a large number of domestic and foreign scholars in the field of electric drives in recent years. applications were studied. However, the traditional scheme uses the electromagnetic torque and the stator flux amplitude as the control variables. Due to the inconsistency of the torque and flux amplitude dimensions, it is necessary to design appropriate weight coefficients to ensure that the system has good dynamic performance at all operating points. static performance. However, there is...

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Problems solved by technology

[0003] In view of this, the object of the present invention is to propose a finite state set asynchronous motor model predictive flux linkage control method and device, which solves the problem of traditional finite state set model predictive control with torque and stator flux amplitude as control variables. Complicated weight coefficient debugging, large steady-state torque and current ripple, high sampling frequency requirements, and unfixed switching frequency

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