火花点火涡轮增压发动机气路的非线性显式预测控制

J. E. Hadef, Sorin Olaru, P. Rodríguez-Ayerbe, G. Colin, Y. Chamaillard, Vincent Talon
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引用次数: 18

摘要

污染物排放和燃油经济性的目标促使汽车制造商开发创新和更复杂的发动机布局。为了减少上市时间和开发成本,最近的研究已经研究了一种准系统发动机控制开发方法的想法。基于模型的方法可能不是唯一的可能性,但它们显然是预先确定的,可以大大减少测试台架调优工作需求。本文提出了一种专门用于动力总成控制的基于物理的非线性模型预测控制律的综合。二叉搜索树用于确保控制律的显式形式的实时实现,通过求解相关的多参数非线性问题来计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explicit nonlinear model predictive control of the air path of a turbocharged spark-ignited engine
Pollutant emissions and fuel economy objectives have led car manufacturers to develop innovative and more sophisticated engine layouts. In order to reduce time-to-market and development costs, recent research has investigated the idea of a quasi-systematic engine control development approach. Model based approaches might not be the only possibility but they are clearly predetermined to considerably reduce test bench tuning work requirements. In this paper, we present the synthesis of a physics-based nonlinear model predictive control law especially designed for powertrain control. A binary search tree is used to ensure real-time implementation of the explicit form of the control law, computed by solving the associated multi-parametric nonlinear problem.
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