| The demand for autonomous vehicles capable of navigating challenging terrains has necessitated
the development of innovative design solutions. It emphasizes the chassis' role as a foundational
framework for supporting the vehicle's body and components, requiring both the strength to endure
various stresses from shock and vibration, as well as sufficient bending stiffness for improved
handling. This study introduces a chassis for an innovative autonomous vehicle tailored for rough
terrain navigation with a unique feature: an optimized chassis designed and equipped with
quadcopter wireless charging systems. This study aimed to achieve an optimal balance between
structural integrity and weight efficiency for the chassis. This is achieved through incorporating
both existing theoretical knowledge and advanced analytical methods, specifically linear stress and
deformation analysis. Utilizing Finite Element Methods and MATLAB, the author derived the
optimum mass and length parameters for the chassis, ensuring robustness while minimizing
material usage. The results indicate that this chassis not only offers a sustainable solution for rough
terrain navigation but also can provide a reliable charging platform for quadcopters. This
integration of advanced design techniques with practical application paves the way for a new era
of autonomous vehicles tailored for specialized environments.
Key Words: Autonomous vehicle design, Rough terrain navigation, Chassis design, Finite
Element Method, Lightweight structure, MATLAB. |