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Closed-loop diesel engine combustion phasing control based on crankshaft torque measurements
Affiliation:1. Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287, USA;2. Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA;1. College of Civil Engineering, Dalian Minzu University, Dalian 116600, China;2. Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China;3. Department of Construction Management and Engineering, North Dakota State University, Fargo, ND 58108-6050, USA;4. Sustainable Buildings Research Centre, University of Wollongong, 2522, Australia;1. National University of Life and Environmental Sciences of Ukraine, 15, Heroyiv Oborony Str., Kyiv, 03041, Ukraine;2. Department of Agricultural and Environmental Science (DiSAAT), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy;3. Latvia University of Agriculture, 1, Instituta Str., Ulbroka, Rigear Region, LV-2130, Latvia;4. Vinnytsia National Agrarian University, 3, Soniachna Str., Vinnitsa, 21008, Ukraine
Abstract:Methods for closed-loop combustion phasing control in a diesel engine, based on measurements of crankshaft torque, are developed and evaluated. A model-based method for estimation of cylinder individual torque contributions from the crankshaft torque measurements is explained and a novel approach for identification of crankshaft dynamics is proposed. The use of the combustion net torque concept for combustion phasing estimation in the torque domain is also described. Two different control schemes, one for individual cylinder control and one for average cylinder control, are studied. The proposed methods are experimentally evaluated using a light-duty diesel engine equipped with a crankshaft integrated torque sensor. The results indicate that it is possible to estimate and control on a cylinder individual basis using the measurements from the crankshaft torque sensor. Combustion phasing is estimated with bias levels of less than 0.5 crank angle degrees (CAD) and cycle-to-cycle standard deviations of less than 0.7 CAD for all cylinders and the implemented combustion phasing controllers manage to accurately counteract disturbances in both fuel injection timing and EGR fraction.
Keywords:Internal combustion engines  Engine control  Engine management  Estimation algorithms
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