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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Estimation of engine rotational dynamics using a closed-loop estimator with stroke identification for engine management systems
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Estimation of engine rotational dynamics using a closed-loop estimator with stroke identification for engine management systems

机译：使用具有冲程识别功能的闭环估计器对发动机管理系统进行发动机旋转动力学估计

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摘要

In order to study the effect of the crank sensor noise on the engine management system (EMS), an algorithm using a closed-loop estimator with stroke identification is proposed to estimate the engine rotational dynamics. Estimated crank angle and engine speed are used for fuel injection and ignition control systems. The closed-loop estimator design is based on a linear model by assuming that the engine rotational inertia is constant. Since the effective inertia actually varies with different crank angles, the stability of the proposed algorithm is assessed using the Lyapunov stability theorem. Performances of the proposed and traditional algorithms are evaluated using a non-linear engine model with a four-plus-one-tooth crankshaft wheel in Matlab/Simulink. The estimated crank angle and engine speed of the traditional algorithm can be significantly affected by large sensor noises resulting from the poorly grounded ignition coil. It was found that the proposed algorithm can mitigate the noise impact and thus maintain the desired engine control performance.
机译：为了研究曲轴传感器噪声对发动机管理系统（EMS）的影响，提出了一种使用带有行程识别的闭环估计器的算法来估计发动机旋转动力。估计的曲轴转角和发动机转速用于燃油喷射和点火控制系统。闭环估计器设计基于线性模型，假设发动机旋转惯量恒定。由于有效惯性实际上随不同的曲柄角而变化，因此使用Lyapunov稳定性定理评估了所提出算法的稳定性。在Matlab / Simulink中，使用带有四齿一齿曲轴轮的非线性发动机模型评估了建议算法和传统算法的性能。传统算法的估计曲柄角和发动机转速会因点火线圈接地不良而产生的大传感器噪声而受到很大影响。发现所提出的算法可以减轻噪声影响并因此保持期望的发动机控制性能。

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