Model prediction-based three-phase inverter fault online diagnosis method

A three-phase inverter and model prediction technology, which is applied in the direction of power supply testing, etc., can solve the problems of difficult to accurately locate faulty switching tubes and slow detection speed, and achieve the effects of saving resources and costs, less input, and high feasibility

Active Publication Date: 2017-09-22
FUZHOU UNIVERSITY
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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a three-phase inverter fault online diagnosis method based on model prediction, which solves the problem of slow

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  • Model prediction-based three-phase inverter fault online diagnosis method
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  • Model prediction-based three-phase inverter fault online diagnosis method

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the drawings and embodiments.

[0031] Such as figure 1 Shown is the fault diagnosis system. The DC power supply supplies power to the inverter, and the inverter converts it into three-phase electrical energy that meets the needs and supplies it to the load. In this process, due to the introduction of closed-loop control, the sensor is required to obtain the variable information output by the inverter x=[x a x b x c ] T , Feedback to the controller, after algorithm modulation and logic operation, output the required switching signal S=[S 1 S 2 S 3 S 4 S 5 S 6 ], including its corresponding switching cycle duty cycle D = [D 1 D 2 D 3 D 4 D 5 D 6 ], real-time adjustment to meet the power supply requirements of the load, thereby completing the conversion and transmission of electrical energy under normal conditions. Among them, the fault diagnosis device is composed of three functions: refer...

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Abstract

The present invention relates to a model prediction-based three-phase inverter fault online diagnosis method. According to the method, an inverter system reference model of closed-loop control is built; the prediction values of the model are compared with actual observation values, so that the residuals of state variables are obtained; the relationships of the residuals and threshold values are analyzed; whether an open-circuit fault has occurred is judged, an alarm is given, and a fault diagnosis instrument is started; the fault diagnosis instrument is an on-line diagnosis mechanism which is built according to preset fault conditions; and the fault diagnosis instrument evaluates the values of state variables which are abnormal currently, selects a fault state which is closest to an actual state and accurately positions a fault switching device. The model prediction-based three-phase inverter fault diagnosis method of the invention has the advantages of few input quantities, high real-time performance, no need for additional detection circuits and capability of accurately positioning the fault switch device, is especially suitable for the fault diagnosis of closed-loop control-based complex power electronic circuits.

Description

Technical field [0001] The invention relates to a three-phase inverter fault online diagnosis method based on model prediction. Background technique [0002] The rapid development of power electronic technology has made power electronic devices widely used in many fields such as power systems, transportation, aerospace, communications engineering, and iron and steel metallurgy. With the increasing complexity of technology and higher and higher requirements for system safety and reliability, electronic electronic devices are often used as key equipment in the production process. The loss caused by the failure of power electronic devices is huge. On the other hand, the reliability of power electronic circuits is a relatively weak link for the entire system. As the main body of energy conversion, it has the highest failure rate and the most serious consequences caused by failure. Redundant design and fault-tolerant control based on fault diagnosis can greatly improve the reliabili...

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Application Information

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IPC IPC(8): G01R31/40
Inventor 林琼斌曾星岚王武蔡逢煌柴琴琴
Owner FUZHOU UNIVERSITY
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