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Improvement of Spark Ignition Knock Detector Performance by Learning Control
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English
Abstract
The improvement of the system response and the stability of the Knock Control System (KCS) by using Learning Control is discussed.
The learning control keeps the feedback results in the computer memory and changes the feedback gain according to the data in the memory.
An application method of the learning control to KCS is studied.
Improvement of the learning control by adding analogy and extinct functions are explained.
The new KCS with learning control is realized by a 16 bit micro-computer, and the test results of the new KCS on 1.8l vehicle are also described.
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Citation
Sawada, D. and Shigematsu, T., "Improvement of Spark Ignition Knock Detector Performance by Learning Control," SAE Technical Paper 810057, 1981, https://doi.org/10.4271/810057.Also In
References
- Kraus B. J. Godici P. E. King W. H. “Reduction of Octane Requirement by Knock Sensor Spark Retard System” Paper 780155 presented at SAE 1978
- Currie James H. Grossman David S. Gumbleton James J. “Energy Conservation with Increased Compression Ratio and Electronic Knock Control” Paper 790173 presented at SAE 1979
- Oda M. Nkamura K. “Learning Control System” Proc. of IFAC Tokyo Sympo. 25th-28th, Aug. 1965
- King-Sun Fv “Learning Control Systems-Review and Outlook” IEEE, Trans. on Aut. Cont. April 1970
- Grimm R. A. Bremer R. J. Stonestreet S. P. “GM Micro-Computer Engine Control System” Paper 800053 presented at SAE 1980