Servo Problem within Fuel Consumption Optimization

0387924 - ÚTIA 2013 RIV LK eng C - Konferenční příspěvek (zahraniční konf.)
Suzdaleva, Evgenia - Nagy, Ivan - Pavelková, Lenka - Mlynářová, Tereza
Servo Problem within Fuel Consumption Optimization.
Proceedings of the IASTED International Conference on Engineering and Applied Science. Columbo: IASTED, 2012, s. 100-107. ISBN 978-0-88986-941-7.
[The IASTED International Conference on Engineering and Applied Science. Columbo (LK), 27.12.2012-29.12.2012]
Grant CEP: GA TA ČR TA01030123
Klíčová slova: control * servo problem * fuel consumption optimization
Kód oboru RIV: BC - Teorie a systémy řízení
http://library.utia.cas.cz/separaty/2013/AS/suzdaleva-servo problem within fuel consumption optimization.pdf

The presented paper deals with a problem of fuel consumption optimization. Today's automotive industry solves this problem mainly via various conceptual approaches (hybrid and electric vehicles). However, it leads to high initial cost of a vehicle. This paper focuses on fuel economy for conventional vehicles. For this aim, recursive algorithms of adaptive optimal quadratic control under Bayesian methodology are used. A stochastic servo problem, including set-point tracking, is a part of the considered adaptive control design. In this paper, fuel consumption and speed of a driven vehicle are the controlled variables, where the first one is to be optimized and the second one is pushed to track its set-point. This set-point is a recommended road-dependent speed. Experiments with real data measured on a driven vehicle are provided.
Trvalý link: http://hdl.handle.net/11104/0217168