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首页> 外文期刊>International Journal of Powertrains >Model-based optimisation and predictive control of a turbocharged diesel engine with variable geometry compressor
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Model-based optimisation and predictive control of a turbocharged diesel engine with variable geometry compressor

机译:可变几何压缩机的涡轮增压柴油机基于模型的优化与预测控制

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摘要

This paper presents a model-based optimisation and preliminary control design for a diesel engine equipped with variable geometry turbocharger (VGT), exhaust gas recirculation (EGR), and variable geometry compressor (VGC) systems. Starting from a validated model of the engine air path dynamics, a model-based optimisation is conducted at steady state conditions. The optimisation results define a simple feed-forward control strategy, which shows how the VGC can be used to increase the stability range of the compressor by means of shifting the surge limit of the machine while providing opportunity to improve fuel efficiency and turbo-lag. A design of feedback control is then investigated by coordinating the available actuators to track the desired performance variables derived from the steady state optimisation, and ensure the stability of the compressor during transient. The regulation is formulated as a receding horizon optimisation problem, which is cast as a constrained quadratic programming to reduce the computational load. The proposed controller is implemented into the nonlinear engine model, followed by an analysis of the simulation results.
机译:本文提出了一种基于模型的优化和初步控制设计,该柴油发动机配备了可变几何涡轮增压器(VGT),废气再循环(EGR)和可变几何压缩机(VGC)系统。从经过验证的发动机空气路径动力学模型开始,在稳态条件下进行基于模型的优化。优化结果定义了一个简单的前馈控制策略,该策略显示了VGC如何通过改变机器的喘振极限来增加压缩机的稳定范围,同时提供改善燃油效率和涡轮滞后的机会。然后,通过协调可用的执行器以跟踪从稳态优化得出的所需性能变量,并确保压缩机在瞬态过程中的稳定性,来研究反馈控制的设计。该规则被公式化为后退的水平优化问题,该问题被转换为约束二次规划以减少计算量。所提出的控制器被实现到非线性发动机模型中,然后对仿真结果进行分析。

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