Two self-tuning adaptive algorithms are developed for a heavy-duty diesel engine in order to tune the idle governor to the specific parameters of a given engine. Engine parameters typically vary across engines and over time, thus causing potentially detrimental effects on engine idle speed performance. Self-tuning controllers determine the specific parameters of a given engine, and then adjust the controller algorithm accordingly. Recursive least squares is used to do the parameter identification, whose samples are synchronized with the discrete injection events of the diesel engine for good convergence. Both Minimum Variance and Pole Placement Self-Tuning Regulators are developed and simulated on the nonlinear diesel engine model. The results show successful tuning of each adaptive controller to the specific parameters of a given engine model, with parameter convergence occurring within 30 seconds.
Comparison of Adaptive Control Techniques Applied to Diesel Engine Idle Speed Regulation
Contributed by the Dynamic Systems and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the ASME Dynamic Systems and Control Division, March 2001; final revision, March 2002. Associate Editor: S. N. Sivashankar.
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Memering , D. W., and Meckl , P. H. (December 16, 2002). "Comparison of Adaptive Control Techniques Applied to Diesel Engine Idle Speed Regulation ." ASME. J. Dyn. Sys., Meas., Control. December 2002; 124(4): 682–688. https://doi.org/10.1115/1.1514056
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