Method for predictively controlling stability of large signal by inverter model based on Lyapunov criterion

A technology of model predictive control and inverter, which is applied in the direction of control system, control generator, vector control system, etc. It can solve the problems of missing control vector, distortion, and difficulty in satisfying the Lyapunov function of the control vector.

Pending Publication Date: 2022-03-25
HEBEI UNIV OF TECH
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Problems solved by technology

The stability of the FCS-MPC control system can be divided into small signal stability and large signal stability. The former can only ensure the stability of the system near the working point, and cannot achieve the stability of large interference signals.
[0003] However, there are still some problems in the large-signal stability of the finite set model predictive control system based on the Lyapunov function method
First of all, due to the limited set of control vectors, the optimization strategy sometimes cannot find the control vec

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  • Method for predictively controlling stability of large signal by inverter model based on Lyapunov criterion
  • Method for predictively controlling stability of large signal by inverter model based on Lyapunov criterion
  • Method for predictively controlling stability of large signal by inverter model based on Lyapunov criterion

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Embodiment 1

[0069] Please refer to figure 1 The specific flow of a large-signal stability method for inverter model predictive control based on the Lyapunov criterion disclosed in the present application includes the following steps:

[0070] Transform the three-phase grid-connected voltage and three-phase grid-connected current of the grid-connected inverter through Clark coordinates to obtain the voltage component and current component at the initial time k under the α-β coordinates;

[0071] Such as figure 2 As shown, the grid-connected inverter includes: two parallel-connected three-phase inverter bridge units, and the DC side filter inductor L f , DC side filter capacitor C f , load R, filter inductance L, grid-connected voltage e;

[0072] The relevant parameters of the grid-connected inverter model are shown in Table 1;

[0073] Table 1 Model parameters

[0074]

[0075]

[0076] Such as image 3 , Figure 4 As shown, according to the following method, the three-phase...

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Abstract

The invention discloses an inverter model prediction control large signal stability method based on a Lyapunov criterion. Comprising the following steps: performing Clark coordinate conversion on three-phase grid-connected voltage and three-phase grid-connected current of a grid-connected inverter to obtain a voltage component and a current component at an initial moment k under an alpha-beta coordinate; acquiring corresponding actual voltage vectors of the grid-connected inverter in different switching states within the sampling period at a set time interval; calculating a virtual voltage vector by using the actual voltage vector; forming a standby voltage vector set by using the virtual voltage vector and the actual voltage vector; calculating a predicted current value at the (k + 1) moment through the voltage component and the current component at the initial moment k and the voltage vector in the standby voltage vector set; inputting the predicted current value into a Lyaponov control function, and judging whether the predicted current value meets a stability requirement or not; and controlling the grid-connected inverter to be in the optimal on-off state. The system stability can be ensured, the current quality can be improved, and the grid-connected performance is improved.

Description

technical field [0001] The present disclosure generally relates to the technical field of three-phase two-level inverter control, and in particular relates to a large-signal stability method for inverter model predictive control based on Lyapunov criterion. Background technique [0002] Model Predictive Control (Model Predictive Control, MPC) is a computational control algorithm proposed in the 1970s, which has the advantages of simple and intuitive, easy to model, easy to add constraints, and strong robustness. Finite Control Set-Model Predictive Control (FCS-MPC) is an application category of model predictive control in power electronics, motor drives and other fields. The stability of FCS-MPC control system can be divided into small signal stability and large signal stability. The former can only guarantee the stability of the system near the working point, but cannot achieve the stability of large interference signals. [0003] However, there are still some problems in ...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02M7/5387H02P21/14
CPCH02J3/381H02M7/53871H02P21/14H02J2203/20
Inventor 孙志国唐圣学宋晓
Owner HEBEI UNIV OF TECH
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