New constant-velocity component paths for objects moving in vertical space
DOI:
https://doi.org/10.15282/jmes.18.3.2024.7.0804Keywords:
Dynamics of Motion, Thrust forces, Path equation, Ordinary differential equations, Perturbation iteration methods, Numerical solutionsAbstract
Paths of vehicles under restricted conditions are of technological interest in navigation engineering. One such restriction may be to fix one of the velocity components during motion. For objects moving in a two-dimensional vertical space, the differential equations determining the paths of the objects for which one of the velocity components remains constant are derived. First, the no thrust force case is investigated. The two paths in which the velocity components remain constant are determined by finding exact solutions of the associated differential equations. While the constant x-component case produces the well-known parabolic solution, the constant y-component case reveals a new solution called the 2/3 rule. Then, the differential equations for an object moving with constant x and y velocity components are derived separately for the constant-magnitude thrust force case. Since the equations inherit high nonlinearities, exact analytical solutions cannot be obtained for the constant-magnitude thrust force case. Instead, approximate solutions obtained by the Perturbation Iteration Method are compared with the Runge-Kutta numerical solutions. Within the range of validity, the approximate solutions can be employed to determine the path instead of the numerical solutions. The approximate analytical solutions would reduce the computational cost of integrating the original numerical solutions. The study may find applications in determining the paths of flying objects such as projectiles, rockets, and aerial vehicles.
References
D. S. Meek, D. J. Walton, “Clothoid spline transition spirals,” Mathematics of Computation, vol. 59, no. 199, pp. 117-133, 1992.
M. Shanmugavel, A. Tsourdos, B. White, R. Zbikowski, “Co-operative path planning of multiple UAVs using Dubins paths with clothoid arcs,” Control Engineering Practice, vol. 18, no. 9, pp. 1084-1092, 2010.
. J. Sanchez-Reyes, J. M. Chacon, “Polynomial approximation to clothoids via s-power series,” Computer Aided Design, vol. 35, no. 14, pp. 1305-1313, 2003.
D. S. Meek, D. J. Walton, “An arc spline approximation to a clothoid,” Journal of Computational and Applied Mathematics, vol. 170, no.1, pp. 59-77, 2004.
J. McCrae, K. Singh, “Sketching piecewise clothoid curves,” Computers and Graphics, vol. 33, no. 4, pp. 452-461, 2009.
M. E. Vázquez-Méndez, G. Casal, J. B. Ferreiro, “Numerical computation of egg and double-egg curves with clothoids,” Journal of Surveying Engineering, vol. 146, no. 1, p. 04019021, 2019.
E. Bertolazzi, C. Frego, M. Frego, S. M. Hosseini, A. Peer, “The clothoid: A historical, literary and artistic introduction with applications to technology,” in 8th IEEE History of Electrotechnology Conference (HISTELCON), pp. 16-19, 2023.
S. Aashish, S. Southward, M. Ahmadian, “Enhancing autonomous vehicle navigation with a clothoid-based lateral controller,” Applied Sciences, vol. 14, no. 5, p. 1817, 2024.
W. Koc, “Identification of transition curves in vehicular roads and railways,” Logistics and Transport, vol. 28, no. 4, pp. 31-42, 2015.
P. Woznica, “Optimization of railway entry and exit transition curves,” Open Engineering, vol. 13, no. 1, p. 20220454, 2023.
M. Pakdemirli, “Symmetry analysis of the constant acceleration curve equation,” Zeitschrift fur Naturforschung A, vol. 78, no. 6, pp. 517-524, 2023.
M. Pakdemirli, V. Yıldız, “Nonlinear curve equations maintaining constant normal accelerations with drag induced tangential decelerations,” Zeitschrift fur Naturforschung A, vol. 78, no. 2, pp. 125-132, 2023.
N. M. Sukri, S. M. Nor-Al-Din, N. K. Razali, M. A. A. Mazurin, “Designing roller coaster loops by using extended uniform cubic B-spline,” IOP Conference Series: Materials Science and Engineering, vol. 1176, no. 1, p. 012039, 2021.
J. Pombo, “Modeling tracks for roller coaster dynamics,” International Journal of Vehicle Design, vol. 45, no. 4, pp. 470-499, 2007.
M. E. Vázquez-Méndez, G. Casal, “The clothoid computation: A simple and efficient numerical algorithm,” Journal of Surveying Engineering, vol. 142, no. 3, p. 04016005, 2016.
A-M. Pendrill, D. Eager, “Velocity, acceleration, jerk, snap and vibration: Forces in our bodies during a roller coaster ride,” Physics Education, vol. 55, no. 6, p. 065012, 2020.
R. Müller, “Roller coasters without differential equations-A Newtonian approach to constrained motion,” European Journal of Physics, vol. 31, no. 4, pp. 835-848, 2010.
M. Pakdemirli, “The drag work minimization path for a flying object with altitude-dependent drag parameters,” Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science, vol. 223, no. 5, pp. 1113-1116, 2009.
E. Yaşar, Y. Yıldırım, “A procedure on the first integrals of second order nonlinear ordinary differential equations,” The European Physical Journal Plus, vol. 130, pp. 240-244, 2015.
G. Gün, T. Özer, “First integrals, integrating factors and invariant solutions of the path equation based on Noether and -symmetries,” Abstract and Applied Analysis, vol. 2013, no. 1, p. 284653, 2013.
Y. Aksoy, M. Pakdemirli, “New perturbation-iteration solutions for Bratu-type equations,” Computers and Mathematics with Applications, vol. 59, no. 8, pp. 2802-2808, 2010.
M. Pakdemirli, “Review of the new perturbation-iteration method,” Mathematical and Computational Applications, vol. 18, no. 3, pp. 139-151, 2013.
N. Bildik, S. Deniz, “A new efficient method for solving delay differential equations and a comparison with other methods,” The European Physical Journal Plus, vol. 132, pp. 1-11, 2017.
M. Şenol, M. Alquran, H. D. Kasmaci, “On the comparison of perturbation-iteration algorithms and residual power series method to solve fractional Zakharov-Kuznetsov equation,” Results in Physics, vol. 9, pp. 321-327, 2018.
R. P. Singh, Y. N. Reddy, “Perturbation iteration method for solving differential difference equations having boundary layer,” Communications in Mathematics and Applications, vol. 11, no. 4, pp. 617-633, 2020.
H. M. Srivastava, S. Deniz, K. M. Saad, “An efficient semi-analytical method for solving the generalized regularized long wave equations with a new fractional derivative operator,” Journal of King Saud University-Science, vol. 33, p. 101345, 2021.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.