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Model predictive control method and device for twelve-phase drive system

A model predictive control and drive system technology, applied in motor control, model/simulation for control purposes, control systems, etc., can solve the problem of inability to analyze the harmonic current of multi-phase motors, and reduce the complexity of calculation and control. High degree of freedom, the effect of ensuring control performance

Active Publication Date: 2020-11-03
TSINGHUA UNIV
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Problems solved by technology

This method is convenient to apply the technology of three-phase motors to multiple three-phase motors, but it cannot analyze the reasons for the large harmonic current of multi-phase motors

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  • Model predictive control method and device for twelve-phase drive system
  • Model predictive control method and device for twelve-phase drive system
  • Model predictive control method and device for twelve-phase drive system

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Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] The following describes the overall model predictive control method and device for the twelve-phase permanent magnet synchronous motor according to the embodiments of the present invention with reference to the accompanying drawings. First, the overall model prediction of the twelve-phase permanent magnet synchronous motor proposed according to the embodiments of the present invention will be described with reference to the accompanying drawings. Control Method.

[0038] First, if figure 1 and 2 As shown, the twelve-phas...

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Abstract

The invention discloses a model prediction control method and device for a twelve-phase driving system. The method comprises the following steps: all possible switch state information of the twelve-phase driving system is simplified to obtain final switch state information; a converter output current value, a DC voltage value, a rotation speed and a rotor position at a k moment are acquired respectively; a prediction model at the k moment is constructed based on a space vector decoupling model of a twelve-phase motor, and through the prediction model, a predicted current value at a (k+2) moment is predicted; and an objective function is constructed, the current values and the predicted current values of four sub-planes are substituted into the objective function, the switch state corresponding to the minimum objective function in the final switch state information is selected to obtain driving signals of each bridge arm at a (k+1) moment. The method reduces selection of two weight coefficients, the model prediction control algorithm in the twelve-phase motor driving system is simplified while independent control on harmonic current is realized, and the computational complexity is reduced.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a model predictive control method and device for a twelve-phase drive system. Background technique [0002] In recent years, multi-phase motors have received extensive attention and research because of their advantages such as high control flexibility, low torque ripple, and strong fault tolerance. More and more control technologies applied to three-phase motors have been extended to multi-phase motors, such as FOC (Field-Oriented Control, vector control), DTC (Direct Torque Control, direct torque control) and MPC (Model Predictive Control, model predictive control). Compared with the first two control methods, MPC has fast dynamic response, intuitive method, simple application in multivariable system, and high control degree of freedom, which is convenient to add various nonlinear constraints and restrictive conditions to the control algorithm. . With the improvement of...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P6/34H02P29/50
CPCH02P6/34H02P29/50H02P2207/05
Inventor 姜新建陈碧阳吕静亮
Owner TSINGHUA UNIV
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