000007722 001__ 7722
000007722 005__ 20240626123056.0
000007722 02470 $$2doi$$a10.24868/issn.2631-8741.2018.009
000007722 035__ $$a2536844
000007722 037__ $$aGENERAL
000007722 245__ $$aRobustness analysis of the next generation of EGR controllers in marine two-stroke diesel engines
000007722 269__ $$a2018-10-02
000007722 336__ $$aConference Proceedings
000007722 520__ $$aExhaust Gas Recirculation (EGR) has recently been introduced in large marine two-stroke diesel engines to reduce NOx emissions. During accelerations, controlling the amount of EGR flow while still keeping good acceleration performance can be quite challenging. The main difficulties to overcome are the delay in the scavenge receiver oxygen measurement and the upper limit in the amount of fuel that can be burned with EGR diluted air without producing black smoke. Previous oxygen feedback controllers struggled during accelerations, but a new approach to EGR control based on adaptive feedforward (AFF) has been tested successfully. Nevertheless,further analysisandtestsarerequiredbeforedeployingthenewcontrollertomoreEGRships. A simulation platform is a great asset to test the controllers before expensive and time-limited real-world experiments have to be conducted on board of ships. With this purpose, a new EGR flow controller is introduced to track the AFF controller EGR flow setpoint in a complete ship simulation model. This new EGR controller complements the previous AFF controller and determines the control signals of the engine EGR blowers. Several acceleration scenarios are simulated, and they identify the low load area as the most challenging concerning EGR control performance due to the slower air path engine dynamics. Controller robustness in this low load area against errors in the flow estimates used by the controller is analysed. Pressure sensor bias in the EGR flow estimator is identified as the most critical factor, which could lead to black smoke formation. This issue could be prevented with better sensor calibration or by using a differential pressure sensor in the estimator instead of two absolute pressure sensors. Errors in the parameters of the flow estimators do not affect the performance as much. This is a useful result because, for a newly built engine, the right parameters of the flow estimators might be difficult to obtain. 
000007722 542__ $$fCC-BY-NC-ND-4.0
000007722 6531_ $$aSplit-range control
000007722 6531_ $$aExhaust Gas Recirculation
000007722 6531_ $$aMarine pollution
000007722 6531_ $$aEngine control
000007722 7001_ $$aLlamas, X$$uVehicular Systems, Dept. of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden
000007722 7001_ $$aEriksson, L$$uVehicular Systems, Dept. of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden
000007722 773__ $$tConference Proceedings of iSCSS
000007722 773__ $$jiSCSS 2018
000007722 789__ $$whttps://zenodo.org/record/2536844$$2URL$$eIsIdenticalTo
000007722 85641 $$uhttps://www.imarest.org/iscss$$yConference website
000007722 8564_ $$949f2f759-998d-4d76-a946-4e6b28b30a14$$s3020587$$uhttps://library.imarest.org/record/7722/files/ISCSS%202018%20Paper%20028%20Llamas%20FINAL.pdf