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Формирование гладкой исполнительной траектории в реальном масштабе времени

https://doi.org/10.17285/0869-7035.2015.23.1.109-119

Abstract

The article studies the use of splines for real-time generation of smooth executive paths that makes it possible to decrease a value of control signal, when changing from one elementary path section to another, and to create the control margin.

About the Author

Г. Довгоброд
ОАО «ЦНИИ «Курс» (Москва).
Russian Federation


References

1. η3-Splines, Motion Control, Federico Casolo (Ed.), ISBN: 978-953-7619-55-8, InTech, Available from: http://www.intechopen.com/books/motion-control/smooth-path-generation-for-wheeledmobile-robots-using-eta3-splines/ Piazzi, Aurelio, Bianco, Guarino Corrado Lo and Massimo, Romano (2010). Smooth Path Generation for Wheeled Mobile Robots Using η

2. Abichandani, P. Mathematical Programming for Multi-Vehicle Motion PlanningUnder Communication Constraints. A Thesis Submitted to the Faculty of Drexel University in partial fulfillment of the requirements for the degree of Doctor of Philosophy. September 2011.

3. Tao, RuanWan, Wen, Tang, Heng, Chen. A real-time 3D motion planning and simulation scheme for nonholonomic systems. Simulation Modelling Practice and Theory 19 (2011) 423–439.

4. Barrientos, Antonio, Gutierrez, Pedro and Colorado, Julian (2009). Advanced UAV Trajectory Generation: Planning and Guidance, Aerial Vehicles, ThanhMung Lam (Ed.), ISBN: 978-953-7619-41-1, InTech, Available from: http://www.intechopen.com/books/aerial_vehicles/Piazzi, Aurelio, Bianco, Corrado Guarino Lo, Bertozzi, Massimo, Fascioli, Alessandra, Broggi Alberto. Quintic G2-Splines for the Iterative Steering of Vision-Based Autonomous Vehicles. // IEEE transactions on intelligent transportation systems, Vol. 3, N. 2, March 2002.

5. Довгоброд, Г.М., Клячко, Л.М., Рогожников, А.В. Использование параметрической аппроксимации при планировании траекторий движения аппаратов //Изв. вузов. Приборостроение. -2009. - Т. 52, №9. - С. 11-17.

6. Фокс, А., Пратт, М. Вычислительная геометрия. – М.: Мир, 1982.

7. Yakimenko, Oleg A. and Kragelund, Sean P. (2011). Real-Time Optimal Guidance and Obstacle Avoidance for UMVs, Autonomous Underwater Vehicles, Mr. Nuno Cruz (Ed.), ISBN: 978-953-307-432-0, InTech, Available from: http://www.intechopen.com/books/autonomous-underwater-vehicles/real-time-optimal-guidance-andobstacle-avoidance-for-umvs/

8. Пелевин, А.Е. Стабилизация движения судна на криволинейной траектории//Гироскопия и навигация.- 2002. - № 2. - С.3-11.

9. Довгоброд, Г.М. Разработка адаптивного алгоритма управления движением судна по криволинейной траектории с помощью метода попятного синтеза управления //Гироскопия и навигация. - 2011. - № 4. - С.22-31.


Review

For citations:


  . Giroskopiya i Navigatsiya. 2015;23(1):109-119. (In Russ.) https://doi.org/10.17285/0869-7035.2015.23.1.109-119

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ISSN 0869-7035 (Print)
ISSN 2075-0927 (Online)