Modeling and identification of the combustion pressure process in internal combustion engines
dc.contributor.author | Connolly, Francis T. | en_US |
dc.contributor.author | Yagle, Andrew E. | en_US |
dc.date.accessioned | 2006-04-10T18:24:09Z | |
dc.date.available | 2006-04-10T18:24:09Z | |
dc.date.issued | 1994-01 | en_US |
dc.identifier.citation | Connolly, Francis T., Yagle, Andrew E. (1994/01)."Modeling and identification of the combustion pressure process in internal combustion engines." Mechanical Systems and Signal Processing 8(1): 1-19. <http://hdl.handle.net/2027.42/31839> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WN1-45NJDX1-1G/2/43397b821f9b82c151fdbf7cfaacddd6 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/31839 | |
dc.description.abstract | We present a new model relating cylinder combustion pressure to crankshaft angular velocity in an internal combustion engine. There are three aspects to this model. First, by changing the independent variable from time to crankshaft angle, a non-linear differential equation model becomes a linear first-order differential equation. Second, a new stochastic model for combustion pressure uses the sum of a deterministic waveform and a raised cosine window amplitude-modulated by a Bernoulli-Gaussian random sequence, parametrising the pressure by the sample modulating sequence. This results in a state equation for the square of angular velocity sampled every combustion, with the modulating sequence as input. Third, the inverse problem of reconstructing pressure from noisy angular velocity measurements can now be formulated as a state-space deconvolution problem, and solved using a Kalman-filter-based deconvolution algorithm. Simulation results show that the parametrised pressure can be deconvolved at low noise levels, and combustion misfires detected, all in real time. Supporting experimental results are referenced in companion papers. | en_US |
dc.format.extent | 581590 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Modeling and identification of the combustion pressure process in internal combustion engines | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Civil and Environmental Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/31839/1/0000786.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1006/mssp.1994.1001 | en_US |
dc.identifier.source | Mechanical Systems and Signal Processing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.