| Paper Details: | Downloads: 959 |
| Serial Number: | P1111348307
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| Title: | An Efficient Novel Reduced Order Observer for State Estimation of an Internal Combustion Engine Model
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| Authors: | Simon O. Omekanda and Dr. Mohamed A. Zohdy
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| Abstract: | In this paper, a reduced order observer is designed and implemented for state estimation of an internal combustion engine (ICE) model. In most engineering systems, certain states are directly measurable. Therefore, it is not cost effective and increases computational complexity to use a full order observer which will demand faster, more powerful processors. This is particularly the case in powertrain systems such as internal combustion engine. Here, we validate the use of a reduced order observer, through comparison, simulation and analysis as a suitable solution to this problem.
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| Keywords: | Reduced order observer, Internal combustion engine, Linear systems modelling, State estimation.
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| Journal/Conference: | International Journal of Automatic Control and System Engineering
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| Volume: | 14
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| Issue: | 1
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| Submission Date: | 11/25/2013 12:00:00 AM
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| Review Date: | 1/24/2014 12:00:00 AM
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| Publishing Date: | 2/16/2014 12:00:00 AM
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| Article Downloads: | 959
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