Abstract

The paper deals with the problem of filtering vibroacoustic signals of an internal combustion engine (ICE) using an adaptive Kalman filter in order to further use the filtered array to solve the problem of technical diagnostics of ICE. The results of the simulation of an adaptive filter in the MATLAB / Simulink software environment of a real vibro-acoustic signal of the engine of an Opel Vectra brand are also given. Implemented a device based on the Arduino Mega microcontroller, which was used to process the field observations of the object of study – ICE. The development of methods for the operational determination of the technical state of internal combustion engines (ICE), first of all automobiles, is currently being given special attention in connection with ensuring not only the reliability of the latter, but also increasing requirements for the economically and environmentally friendly ICE. These methods should allow to carry out diagnostics of the technical condition of the vehicle’s internal combustion engine and to make timely adjustments to the systems and components of the internal combustion engine thereby increasing the operational performance and service life of the object. Environments of various methods for diagnosing the technical condition of internal combustion engines of particular importance are the method based on the analysis of vibroacoustic signals, which allows indiscriminate monitoring of components and interfaces of an internal combustion engine. It should be noted that the analyzed vibro-acoustic signals of the internal combustion engine are mutually correlated in terms of the operation of the internal combustion engine assemblies. Therefore, in order to adequately establish and localize the location of a defect in the internal combustion engine, it is necessary to first isolate the useful signal in the conditions of the mutual influence of non-stationary vibro-acoustic signals generated by various engine components.

Highlights

  • CT PeW (k) w (k 1) K (k) (k) обновление оценки коэффициентов адаптивного фильтра Калмана;.

  • Классический вариант фильтра Калмана был смоделирован в среде программного продукта MATLAB/Simulink [6]

  • Где Kk – коэффициент усиления фильтра; H матрица, отображающая отношения измерений и состояний; R ковариация шума измерения.

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Summary

CT Pe

W (k) w (k 1) K (k) (k) обновление оценки коэффициентов адаптивного фильтра Калмана;. Классический вариант фильтра Калмана был смоделирован в среде программного продукта MATLAB/Simulink [6] Где Kk – коэффициент усиления фильтра; H матрица, отображающая отношения измерений и состояний; R ковариация шума измерения. Чтобы наглядно продемонстрировать эффективность фильтра Калмана, для задачи диагностики ДВС была произведена фильтрация виброакустического сигнала, которая от микроконтроллера Arduino Mega передается через порт UART компьютера Для чёткого приема сигнала от ДВС виброакустический датчик закреплен к корпусу двигателя автомобиля марки Opel Vectra выпуска 1997 г. 3. Экспериментальная система измерения и фильтрации виброакустических сигналов ДВС автомобиля марки Opel Vectra. The results of the simulation of an adaptive filter in the MATLAB / Simulink software environment of a real vibro-acoustic signal of the engine of an Opel Vectra brand are given.

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