Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine

Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine

Автор: FarzinPiltan,MarziehKamgari, SaeedZare, FatemehShahryarZadeh, Mohammad Mansoorzadeh

Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb

Статья в выпуске: 2 vol.5, 2013 года.

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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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PD plus mass of air, model reference fuzzy logic theory, fuzzy PD plus mass of air method, IC engine, stability, robustness

Короткий адрес: https://sciup.org/15013178

IDR: 15013178

Список литературы Design Novel Model Reference Artificial Intelligence Based Methodology to Optimized Fuel Ratio in IC Engine

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  • Farzin Piltan, N. Sulaiman, Amin Jalali, Sobhan Siamak, and Iman Nazari, “Control of Robot Manipulator: Design a Novel Tuning MIMO Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control ,” International Journal of Control and Automation, 4 (4):91-110, 2011.
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