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Nonlinear model predictive controller design for air system control of a gasoline engine

机译:汽油机空气系统控制的非线性模型预测控制器设计。

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In this paper, a control strategy based on nonlinear model predictive control (NMPC) for air system of gasoline engine is proposed in order to meet the engine torque demand. At first, according to mean value thought and modular modeling methodology, a control-oriented model is developed. Secondly, the desired engine torque is translated into desired intake manifold pressure by look-up table. And an NMPC controller is designed to achieve the tracking of intake manifold pressure with regulating the throttle opening, so that the output torque can attain the desired values. Ultimately, to verify the effectiveness and reliability of the designed control strategy, not only the mean value model but also the commercial high-precision engine model is applied and the performance of NMPC controller is shown by the simulation results.
机译:为了满足发动机扭矩需求,提出了一种基于非线性模型预测控制(NMPC)的汽油机空气系统控制策略。首先,根据均值思想和模块化建模方法,开发了一种面向控制的模型。其次,通过查询表将所需的发动机扭矩转换为所需的进气歧管压力。 NMPC控制器经过设计,可通过调节节气门开度来跟踪进气歧管压力,从而使输出扭矩达到所需值。最终,为了验证所设计控制策略的有效性和可靠性,不仅应用了均值模型,而且还应用了商用高精度发动机模型,并且通过仿真结果显示了NMPC控制器的性能。

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