Practical model-based control for low emission and low cost diesel engines

低排放低成本柴油机的实用模型控制。该项目旨在开发和实施鲁棒的多变量模型预测控制算法，用于低排放和低成本的柴油发动机，以减少校准工作。立法和日益增长的消费者需求要求更好的控制方法比已经部署在生产车辆的日期，并激励使用基于模型的技术，以满足性能和排放规格。然而，当前基于模型的控制器放大了校准工作，并且增加了开发成本，因为调谐参数与时域规范无关。预期的结果是新的基于模型的控制架构，改善柴油发动机的操作，并减少其校准工作和成本。

Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model based techniques to meet performance and emissions specifications. However, current model-based controllers amplify the calibration effort and increase development costs as the tuning parameters are not related to time domain specifications. The anticipated outcome is new model based control architectures that improve diesel engine operation and reduce its calibration effort and cost.