03827nam a2200457 a 4500 20260818223752.0 140619s2011 th ad ||| 000 0 eng d .b12133772 AIT Thesis no.ISE-11-09 Suradech Doungpummet System identification of a spark ignition engine for natural gas injection rate control Pathum Thani : Asian Institute of Technology, 2011 34 p. : ill. (some col.), charts Thesis ; no. ISE-11-09 Thesis (M. Eng.) - Asian Institute of Technology, 2011 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Mechatronics, School of Engineering and Technology Neural 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. Spark ignition engines Gas as fuel System identification Manukid Parnichkun, Chairperson Afzulpurkar, Nitin V., Examination Committee Dailey, Mathew N., Examination Committee National Science and Technology Development Agency (NSTDA), Thailand, Scholarship donor Royal Thai Government Fellowship, Scholarship donor Asian Institute of Technology. Thesis ; no. ISE-11-09 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B11722 .b12133772 mnait j 240404 0 140619 m a j 0 000:001:PDF:b1213377:001533:0:0:0:0:0:0 Abstract--AIT Thesis no.ISE-11-09 n mnait mnait mnarc 20 40 Barcode : 30050120845820 CREATED : 2014-06-19 RECORD # : i12812882 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120845812 CREATED : 2014-06-19 RECORD # : i12812894 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050160029798 CREATED : 2016-03-16 RECORD # : i12893286 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 117244 117244 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ISE-11-09 30050120845820 2026-08-18 22:37:52 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ISE-11-09 30050120845812 2026-08-18 22:37:52 2 2026-08-18 20 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ISE-11-09 30050160029798 2026-08-18 22:37:52 1 2026-08-18 40