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首页> 外文期刊>Fortschritt-Berichte VDI, Reihe 8. Mess-, Steuerungs- und Regelungstechnik >A Two-Stage Multiobjective Predictive Control Approach for Low Temperature Combustion Engines
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A Two-Stage Multiobjective Predictive Control Approach for Low Temperature Combustion Engines

机译：低温内燃机的两阶段多目标预测控制方法

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摘要

Topic of the present thesis is the research on nonlinear model-based predictive control (MPC) for internal combustion engines with homogenized low temperature combustion. In this context, both the gasoline (GCAI) and the diesel process (PCCI) are investigated, especially with respect to the challenge of increasing the operating range. For this purpose a MPC approach is developed, which consists of a 2-stage calculation of the actuated values allowing for realtime multiobjective optimization. This approach, including system identification and control design, is applied to both engine concepts. Herewith the operating range can be extended for the GCAI case, i.e. by considering the evolving cycle-to-cycle dynamics. For the diesel engine, the actuated values are calculated by also considering economic parameters, such as fuel consumption, automatically deciding between the conventional and PCCI mode. Simulative and experimental results prove the feasibility of the presented approach.
机译：本论文的主题是基于均质低温燃烧的内燃机基于非线性模型的预测控制（MPC）的研究。在这种情况下，特别是针对增加运行范围的挑战，研究了汽油（GCAI）和柴油工艺（PCCI）。为此目的，开发了一种MPC方法，该方法包括对激活值进行两阶段计算，从而可以进行实时多目标优化。这种方法，包括系统识别和控制设计，都适用于两种发动机概念。因此，可以针对GCAI情况扩展操作范围，即通过考虑不断发展的循环动态性。对于柴油发动机，通过考虑经济参数（例如燃料消耗）来自动计算常规值和PCCI模式之间的关系，从而计算出驱动值。仿真和实验结果证明了该方法的可行性。

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