POSSIBILITY OF SMART CAR SPEED CONTROL USING SOFT COMPUTING
Klíčová slova:
Speed Control, Smart Car, Differential EvolutionAbstrakt
Smart speed control of a car is the focus of the paper. There is introduced the possibility how to automatically control the car speed smoothly in the daily traffic. The technique uses nonlinear neural car model together with differential evolution search technique to determine continuously convenient throttle power so that the car speed is optimal with respect to defined cost function – the cost function can consider actual speed limits as well as speed smoothness.
Stažení
Data o stažení nejsou doposud dostupná.
Reference
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(8) DOLEŽEL, P., MAREŠ, J. Reactor Furnace Control Using Artificial Neural Networks
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of West Bohemia, 2009, pp. 99-102. ISBN 978-80-7043-781-0 ISSN 1803-7232.
(9) DOLEŽEL, P., TAUFER, I. PSD controller tuning using artificial intelligence
techniques. In Proceedings of the 17th International Conference on Process Control
’09, Štrbské Pleso, 9.-12. 6. 2009. Bratislava: STU, 2009, pp. 120-124. ISBN 978-80-
227-3081-5.
(10) BOBÁL, V., BÖHM, J., PROKOP, R. Praktické aspekty samočinně se
nastavujících regulátorů: algoritmy a implementace. Brno: VITIUM a VUT
v Brně, 1999. 244 p. ISBN 80-214-1299-2.
(11) HAYKIN, S. Neural Networks: A Comprehensive Foundation. New Jersey:
Prentice Hall, 1999. 842 p. ISBN 0-13-273350-1.
(12) CAMACHO, E. F., BORDONS, C. Model Predictive Control 3rd. London:
Springer – Verlag.. 208 p. ISBN 3-540-76241-8.
1950
(2) ASTROM, K. J., HAGGLUND, T. PID controllers: theory, design and tuning.
Durham: International Society for Measurement and Control, 1995. 351 p. ISBN 1-
55617-516-7.
(3) HOLLAND, J. Adaptation in Natural and Artificial Systems (second edition). Ann
Arbor: MIT Press, 1992. 228 p. ISBN 978-0-262-58111-0.
(4) GOLDBERG, D.E. Genetic Algorithms in Search, Optimization and Machine Learning.
Boston: Addison-Wesley Longman Publishing Co., 1989. 372 p. ISBN 0201157675.
(5) STORN, R.M., PRICE, K. Differential Evolution – A Simple and Efficient Heuristic for
Global Optimization over Continuous Spaces. Journal of Global Optimization, Vol. 11,
1997, pp. 341 -359. ISSN 0925-5001.
(6) PRICE, K., STORN, R.M., LAMPINEN J.A. Differential Evolution: A Practical
Approach to Global Optimization. Berlin: Springer, 2005. 292 p. ISBN 978-3-540-
20950-8.
(7) MAREŠ, J., DOLEŽEL, P., HRNČIŘÍK, P. Artificial Neural Networks - Industrial and
Control Engineering Applications. 1st ed. Rijeka: Intech, 2011. Artificial Neural
Network – Possible Approach to Nonlinear System Control, s. 359 – 376. ISBN 978-
953-307-220-3.
(8) DOLEŽEL, P., MAREŠ, J. Reactor Furnace Control Using Artificial Neural Networks
and Genetic Algorithm. In Applied Electronics, Plzeň, 9.-10. 9. 2009. Plzeň: University
of West Bohemia, 2009, pp. 99-102. ISBN 978-80-7043-781-0 ISSN 1803-7232.
(9) DOLEŽEL, P., TAUFER, I. PSD controller tuning using artificial intelligence
techniques. In Proceedings of the 17th International Conference on Process Control
’09, Štrbské Pleso, 9.-12. 6. 2009. Bratislava: STU, 2009, pp. 120-124. ISBN 978-80-
227-3081-5.
(10) BOBÁL, V., BÖHM, J., PROKOP, R. Praktické aspekty samočinně se
nastavujících regulátorů: algoritmy a implementace. Brno: VITIUM a VUT
v Brně, 1999. 244 p. ISBN 80-214-1299-2.
(11) HAYKIN, S. Neural Networks: A Comprehensive Foundation. New Jersey:
Prentice Hall, 1999. 842 p. ISBN 0-13-273350-1.
(12) CAMACHO, E. F., BORDONS, C. Model Predictive Control 3rd. London:
Springer – Verlag.. 208 p. ISBN 3-540-76241-8.
Stahování
Publikováno
2012-07-13
Jak citovat
Doležel, P. ., & Taufer, I. . (2012). POSSIBILITY OF SMART CAR SPEED CONTROL USING SOFT COMPUTING. Perner’s Contacts, 7(2), 6–14. Získáno z https://pernerscontacts.upce.cz/index.php/perner/article/view/1135
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