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Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine
Author(s) -
Farzin Piltan,
Marzieh kamgari,
Saeed Zare,
Fatemeh Shahryar Zadeh,
Mohammad Mansoorzadeh
Publication year - 2013
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9031
pISSN - 2074-9023
DOI - 10.5815/ijieeb.2013.02.07
Subject(s) - computer science , automotive engineering , artificial intelligence , engineering
In this research, model reference fuzzy based control is presented as robust controls for IC engine. The objective of the study is to design controls for IC engines without the knowledge of the boundary of uncertainties and dynamic information by using fuzzy model reference PD plus mass of air while improve the robustness of the PD plus mass of air control. A PD plus mass of air provides for eliminate the mass of air and ultimate accuracy in the presence of the bounded disturbance/uncertainties, although this methods also causes some oscillation. The fuzzy PD plus mass of air is proposed as a solution to the problems crated by unstability. This method has a good performance in presence of uncertainty

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