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COMPARISON OF ESTIMATION TECHNIQUES FOR THE CRANKSHAFT DYNAMICS OF AN OPPOSED PISTON ENGINE

机译:对置活塞发动机曲轴动态特性估计技术的比较

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This study provides a comparison of a linear and unscented Kalman filter to estimate the dynamics of a two-stroke opposed piston engine. These engines maintain several advantages over conventional internal combustion engines including reduced heat transfer, higher power to weight ratio, and a larger expansion ratio. Additionally, a crank angle phasing is introduced between the two cranks to improve scavenging efficiency. However, the coupling of the two crankshafts through a large geartrain can cause high amounts of noise and vibration harshness (NVH) and mechanical efficiency losses. By removing the geartrain and controlling the decoupled crankshafts with motor-generators, the NVH can be minimized while maintaining the benefits of crank angle phasing. To control the input torque of the motors to the engine, accurate estimations of the crankshaft position and dynamics are necessary. While the unscented Kalman filter exhibits lower estimation error, the filter is sensitive to model uncertainty relating to cylinder pressure, demanding further investigation of the robustness of the nonlinear filter.
机译:这项研究对线性和无味卡尔曼滤波器进行了比较,以估计两冲程对置活塞发动机的动力。与传统的内燃机相比,这些发动机具有许多优点,包括减少的热传递,更高的功率重量比和更大的膨胀比。另外,在两个曲柄之间引入了曲柄角度定相,以提高扫气效率。然而,两个曲轴通过大齿轮系的联接会导致大量的噪声和振动刺耳度(NVH)以及机械效率损失。通过拆下齿轮系并用电动发电机控制分离的曲轴,可以将NVH降至最低,同时保持曲轴角度调相的优势。为了控制电动机到发动机的输入扭矩,需要准确估计曲轴位置和动力。尽管无味的卡尔曼滤波器表现出较低的估计误差,但该滤波器对与气缸压力有关的模型不确定性敏感,需要进一步研究非线性滤波器的鲁棒性。

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