1 AIT Asian Institute of Technology

System identification of a spark ignition engine for natural gas injection rate control

AuthorSuradech Doungpummet
Call NumberAIT Thesis no.ISE-11-09
Subject(s)Spark ignition engines
Gas as fuel
System identification

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Mechatronics, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. ISE-11-09
AbstractNeural networks for identification and control of a spark ignition engine using natural gas can be improved its dynamic. Basically, converted engines result in a significant power loss. The fuel quality variation and low volumetric efficiency of natural gas require numerous modification and calibration efforts, but the optimum operations can not be guaranteed. The vehicle was op~rated on both a test bench and practical driving cycles. The parameters such as throttle position and fuel injection duration were excited, while an oxygen concentration was observed over the whole operating range. The neural network has capability to identify the relation between natural gas injection duration and the engine states. According to these experiments, the correctness of neural network is between 91.2% to 93.4%.Therefore, the injection duration for each operating point was calculated from the neural network model. A interpolated look-up table is suitable for a fuel injection control. In this case, a test vehicle is Toyota Altis 1.6 1, fourcylinder engine equipped with compressed natural gas components. In additional, I adopt an ARM 32-bit microcontroller as a rapid prototype. The embedded controller contained the look-up table that used during a transient period. For steady-state responses, the system was combined with a PI controller. Thus, the experimental results can be confirmed the effectiveness of vehicle responses and also reduction of the calibration efforts. Finally, this similar methodology can be applied to other kinds of engines or fuels and allow inexpensive adjustments.
Year2011
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ISE-11-09
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSIndustrial Systems Engineering (ISE)
Chairperson(s)Manukid Parnichkun.;
Examination Committee(s)Afzulpurkar, Nitin V.;Dailey, Mathew N.;
Scholarship Donor(s)National Science and Technology Development Agency (NSTDA), Thailand.;
DegreeThesis (M. Eng.) - Asian Institute of Technology, 2011


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