Preprint / Version 1

From Spring Mass Damper Dynamics to Drone Control Models

##article.authors##

  • Prathyush Bangalore Student

DOI:

https://doi.org/10.58445/rars.4291

Abstract

Complex dynamical systems can be modeled clearly by building them from simpler systems with similar mathematical structure. We begin with a one-dimensional spring-mass-damper system to establish a basic state-space framework, then extend this framework to three-dimensional translational motion and quaternion-based rotational motion. The 3D model is finally combined with rotor dynamics into a unified first-order nonlinear drone model. Numerical simulations are used to compare the behavior of the intermediate models and the final drone model. Our results show that simpler models provide a useful foundation for constructing and interpreting more complex systems, while also showing where that foundation must be extended to account for nonlinear orientation dynamics and input-driven control.

References

N. S. Nise, Control Systems Engineering, 7th ed. Wiley, 2014.

J. Solà, “Quaternion kinematics for the error-state Kalman filter,” arXiv preprint arXiv:1711.02508, 2017.

R. Kumar, M. Bhargavapuri, A. M. Deshpande, S. Sridhar, K. Cohen, and M. Kumar, “Quaternion feedback based autonomous control of a quadcopter UAV with thrust vectoring rotors,” in Proc. 2020 American Control Conference (ACC), Denver, CO, USA, 2020, pp. 3828–3833.

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Posted

2026-10-18