The Study of Signal Characteristics of Critical Sensors on a Coal-Bed Gas Engine

Abstract:

In order to solve the signal processing problems appeared in conventional engine control systems, the Discrete Fourier Transform (DFT) was used for frequency domain analysis, on this basis, it’s possible to make suggestions as to the selection of real-time sampling frequency and sensor signal averaging strategies as well as analog/digital anti-aliasing filter parameters in engine control system. To describe pumping fluctuations existing in model-based engine control system for a coal-bed engine, the pumping fluctuation models of air and fuel gas mass flow rate in intake manifold during steady-state operations were established based on the result of signal frequency domain analysis, thus it’s possible to optimize the conventional Mean Value Engine Model.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 1109-1113
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.1109
• Online since: October 2011
• Authors: Jun Luo, Qin Teng, Peng An
• Keywords: Discrete Fourier Transform, Engine, Model, Signal Processing, Spectrum Analysis

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