Practical Model-Based Control For Low Emission And Low Cost Diesel Engines

Abstract

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 ..

Related publications (2)

Fast Calibration of a Robust Model Predictive Controller for Diesel Engine Airpath

GS Sankar, RC Shekhar, C Manzie, T Sano, H Nakada

2020-07-01

A significant challenge in the development of control systems for diesel airpath applications is to tune the controller parameters..

Model predictive controller with average emissions constraints for diesel airpath

Gokul S Sankar, Rohan C Shekhar, Chris Manzie, Takeshi Sano, Hayato Nakada

2019-09-01