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Model Predictive Combustion Control Implementation Using Parallel Computation on an FPGA

机译:模型预测燃烧控制实现在FPGA上使用并行计算

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The introduction of transient test cycles and the focus on real world driving emissions has increased the importance of ensuring the NOx and soot emissions are controlled during transient manoeuvres. At the same time, there is a drive to reduce the number of calibration variables used by engine control strategies to reduce development effort and costs. In this paper, a control orientated combustion model, [1], and model predictive control strategy, [2], that were developed in simulation and reported in earlier papers, are applied to a Diesel engine and demonstrated in a test vehicle. The paper describes how the control approach developed in simulation was implemented in embedded hardware, using an FPGA to accelerate the emissions calculations. The development of the predictive controller includes the application of a simplified optimisation algorithm to enable a real-time calculation in the test vehicle. The test vehicle was calibrated over a constant speed step manoeuvre and then demonstrated over the standard US06 drive cycle, where it was found to reduce NOx and CO_2 emissions. The paper concludes with a discussion on the merits of an emissions based engine control strategy, where the controller seeks to control emissions directly rather than an indirect quantity such as boost pressure.
机译:引入瞬态测试周期和对现实世界驾驶排放的关注增加了确保在瞬态演习期间控制NOx和烟灰排放的重要性。同时,有一个驱动器来减少发动机控制策略使用的校准变量的数量,以降低开发工作和成本。在本文中,在模拟中开发的控制定向燃烧模型,[2]和模型预测控制策略[2]应用于柴油发动机并在试验载体中证明。本文介绍了如何在嵌入式硬件中实现模拟中开发的控制方法,使用FPGA加速排放量计算。预测控制器的开发包括应用简化的优化算法,以在测试车辆中进行实时计算。测试车辆在恒定的速度步转操纵上校准,然后通过标准US06驱动循环进行说明,发现它是减少NOx和CO_2排放。本文讨论了关于基于发动机控制策略的排放的优点,其中控制器寻求直接控制排放,而不是诸如升压的间接数量。

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