Fault Diagnosis Of Power Converter Based On DSP

DC-DC converter is an important part of power electronic system.With the advent of technology and digital age,DC-DC converter is widely used in different fields,so it is of great significance to study its control.Control of DC-DC converters can optimize power management,improve power conversion efficiency and reduce energy waste.At the same time,the control of DC-DC converter can also improve the power efficiency and stability of the equipment,reduce the cost of energy consumption,and make contributions to the sustainable development of economy.Therefore,the study of DC-DC converter control can provide more efficient power management solutions for various industries.At the same time,in the process of operation,with the continuous real-time change of time and state and other actual conditions,the inherent characteristics of components will change,resulting in failure and then lead to safety risks and economic losses,fault diagnosis for the stable operation of DC-DC converter and application safety has a very important role.Especially for the areas requiring high stability and safety,such as aerospace and Marine systems,fault diagnosis is extremely important.Therefore,it is of great significance to study the fault diagnosis technology of DC-DC converter.This paper takes DC-DC converter as the research object,DSP as the controller and the circuit based on switching system modeling as the basis of stability control,and studies the problem of fault diagnosis.The main structure of this paper is as follows:Firstly,the background and purpose of the research are introduced,and the common control methods of DC-DC converter,fault diagnosis,power electronics technology and DSP technology are described.Then we study the stability control and fault diagnosis of Buck-Boost converter,and build the hardware simulation platform and physical circuit.At the same time,the fault diagnosis is also studied.According to the specific requirements of the circuit,the controller circuit,the sampling circuit and the pulse width modulation signal driver circuit are designed,and the appropriate component parameter values are selected for the physical circuit.The loop connection between the semi-physical simulation platform and the controller proves the practicability of the proposed control method in practical engineering.Secondly,the Buck-Boost converter is studied and its mathematical modeling is carried out.At the same time,the fault diagnosis method of DC-DC converter is described.For BuckBoost converter switching systems with component faults,a new fault diagnosis method is proposed,taking inductive and capacitor faults as an example.Based on the switching system of DC-DC converter with component faults,the mathematical modeling is carried out and the fault forms are explained.Then,a method based on adaptive sliding mode observer is proposed to estimate component parameters online by using adaptive law,and the bounded consistency of fault parameter estimation error and state estimation error is ensured.In the process of fault diagnosis,the residual and threshold values between the estimated value and the real value of the observer are compared.Finally,the off-line simulation software and the semi-physical simulation platform are used to verify the effectiveness of the proposed strategy.Finally,we study the sensor fault problem of DC-DC converter.In this study,the corresponding fault model is established for the sensor fault problem in Zeta circuit,and the solution is proposed.The sensor fault is transformed into actuator fault by low pass filter so that it can be dealt with.Based on the adaptive sliding mode observer,a variety of possible sensor faults in Zeta circuit are studied.By comparing the observed value with the actual value and the threshold analysis system,the accurate diagnosis of sensor faults is realized.Matlab simulation and semi-physical simulation are used to verify the reliability of the proposed method.