Self optimizing ABS control algorithm with application
MetadataShow full item record
CitationDinçmen, E. & Altınel, T. (2015). Self optimizing ABS control algorithm with application. Paper presented at the 6th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2015, 1-6. doi:10.1109/ICMSAO.2015.7152223
A self optimizing control algorithm is applied to the ABS control problem where the algorithm accomplishes to maximize friction potential of the tires during braking in unknown road conditions. Simulation studies are conducted to show effectiveness of the controller. The algorithm is also tested in an experimental setup. In order to control a real electromechanical braking system, necessary observers are designed and integrated with the algorithm. Experimental study shows the performance of the control algorithm.
Source6th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2015
Showing items related by title, author, creator and subject.
The control of highly nonlinear multi-link flexible arms is subject to uncertainties caused by backlash, payload changes and external disturbances.Therefore, adaptive and robust control of multi-link flexible arms is a ...
Ünal, Ali Cem; Yılmaz, Cemal Tuğrul; Kararsız, Gökhan; Yeşilyaprak, Cahit; Keskin, Onur (Institute of Electrical and Electronics Engineers Inc., 2019-07)Small ground telescopes on the marked are widely used in many space observatories and scientific researches. There are three main problems in such telescopes; positioning of the focal point and the need of tuning for both ...
Dinçmen, Erkin (John Wiley and Sons Ltd, 2017-06)An emergency braking controller is developed with improved operation characteristics near the maximum friction zone. The methodology is based on self-seeking a-priori unknown optimum operation point to maximize a performance ...