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Deterministic and stochastic models of automotive engine fuelled with palm biodiesel

International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Azuwir, Mohd Noor, Mohd Zaki, Abdulmuin, Prof. Dr., Abdul Hamid, Adom, Prof. Madya Dr.
Other Authors: azuwir@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Stochastic models
Identification
Modeling
Biodiesel
Palm diesel
Automotive diesel engine
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21648
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spelling my.unimap-216482012-11-06T14:33:27Z Deterministic and stochastic models of automotive engine fuelled with palm biodiesel Azuwir, Mohd Noor Mohd Zaki, Abdulmuin, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr. azuwir@unimap.edu.my abdhamid@unimap.edu.my zakimuin@unimap.edu.my Stochastic models Identification Modeling Biodiesel Palm diesel Automotive diesel engine International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. In this paper, two types of dynamic model for automotive diesel engine fuelled with palm biodiesel (Palm Oil Methyl Ester) are being developed using a black box technique. Assuming a discrete time form for the system model, an Autoregressive with eXogenous input (ARX) and an Autoregressive Moving Average with eXogenous input (ARMAX) model structures were selected in this work. The models are derived for the development of real-time self-tuning speed controller purposes. Real-time input-output data obtained from a 2.0L automotive diesel engine with test-bed unit were used for modeling. A Pseudo-Random Binary Sequence (PRBS) with maximum lengths sequence of 31 has been used as the input signal to determine the dynamic models of automotive palm biodiesel engine for medium speed range around 2100 rpm. The input and output signals were interfaced to the plant via Matlab programming. Recursive estimation algorithms, Recursive Least Squares (RLS) and Recursive Extended Least Squares (RELS), were used to estimate the parameters of each model. Finally, model validation was done by plotting the output predicted by the model and comparing it with the measured output. 2012-11-06T14:33:27Z 2012-11-06T14:33:27Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21648 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Stochastic models
Identification
Modeling
Biodiesel
Palm diesel
Automotive diesel engine
spellingShingle Stochastic models
Identification
Modeling
Biodiesel
Palm diesel
Automotive diesel engine
Azuwir, Mohd Noor
Mohd Zaki, Abdulmuin, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
description International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
author2 azuwir@unimap.edu.my
author_facet azuwir@unimap.edu.my
Azuwir, Mohd Noor
Mohd Zaki, Abdulmuin, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
format Working Paper
author Azuwir, Mohd Noor
Mohd Zaki, Abdulmuin, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
author_sort Azuwir, Mohd Noor
title Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
title_short Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
title_full Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
title_fullStr Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
title_full_unstemmed Deterministic and stochastic models of automotive engine fuelled with palm biodiesel
title_sort deterministic and stochastic models of automotive engine fuelled with palm biodiesel
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21648
_version_ 1643793385979379712
score 13.222552

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