Robust fixed-frequency type model prediction control method for active front-end rectifier

A model predictive control and rectifier technology, which is applied in the direction of converting irreversible AC power input to DC power output, etc., and can solve problems such as small amount of calculation.
CN102931856BInactive Publication Date: 2014-09-10HENAN NORMAL UNIV

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
HENAN NORMAL UNIV
Publication Date
2014-09-10
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses a robust fixed-frequency model predictive control method for an active front-end rectifier. The main points of the technical solution of the present invention are: a robust fixed-frequency model predictive control method for an active front-end rectifier. When the model parameters of the control object do not match the actual parameters, the method calculates the difference between the actual current and the predicted current and real-time The prediction model is compensated to improve the prediction accuracy of the model and obtain the accurate action time of each vector. The vector action time is passed through the modulator to obtain the switching signal for controlling the power device. The robust fixed-frequency model predictive control method of the active front-end rectifier of the present invention can eliminate the influence of model parameter mismatch on the control system, enhance the robustness of the model predictive control system, and realize it when there is a large error in the predictive model The stable operation of the active front-end rectifier is ensured.
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Description

technical field

[0001] The invention relates to a control method for an active front-end rectifier, which belongs to the field of control of power electronic power conversion devices, and in particular to a robust fixed-frequency model predictive control method for an active front-end rectifier. Background technique

[0002] Model predictive control is a control algorithm that predicts its future response based on the model of the controlled object. The algorithm includes a value function defined in terms of control objectives. By minimizing this cost function, the algorithm predicts the most effective voltage vector in each sampling period and uses it as the action vector in the next sampling period. Model predictive control needs to predict the operating state of the object at the next moment according to the mathematical model, which requires high accuracy of the model. The change of circuit parameters will lead to the mismatch between the nominal value of the control ...

Claims

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