Adaptive Tracking Control of a Common Rail Injection System for Gasoline Engines: A Discrete-Time Integral Minimal Control Synthesis Approach
Adaptive Tracking Control of a Common Rail Injection System for Gasoline Engines: A Discrete-Time Integral Minimal Control Synthesis Approach
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DOI：
10.1109/tcst.2012.2220772
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发表时间：
2013-09
影响因子：
4.8
通讯作者：
U. Montanaro;A. Gaeta;V. Giglio
中科院分区：
文献类型：
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作者：
U. Montanaro;A. Gaeta;V. Giglio
在过去的十年中，汽油直喷发动机已被证明是一个有前途的解决方案，以减少排放和燃料消耗。其上级性能的实现，在很大程度上依赖于基于共轨（CR）装置的燃油喷射系统。为了驯服CR压力动态没有任何先验知识的植物参数，我们设计了一种新的模型参考自适应控制策略，扩展了离散时间最小控制综合算法。事实上，添加了显式离散时间自适应积分作用来提高闭环性能。实验结果支持稳定性的分析证明，并确认新算法的有效性，以解决在广泛的工作条件下的调节和跟踪控制问题。闭环性能通过工程指标进行定量评估。
Over the last decade, gasoline direct injection engines have proven to be a promising solution to reduce both emission and fuel consumption. The achievement of superior performance strongly relies on its fuel injection system based on the common rail (CR) device. In order to tame the CR pressure dynamics without any a priori knowledge of the plant parameters, we design a novel model reference adaptive control strategy that extends the discrete-time minimal control synthesis algorithm. Indeed, an explicit discrete-time adaptive integral action is added to improve closed-loop performance. Experimental results support the analytical proof of stability, and confirm the effectiveness of the novel algorithm to solve both the regulation and the tracking control problem in a wide range of working conditions. The closed-loop performance is quantitatively evaluated via engineering indices.