Abstract
This work aims to estimate the suspension stiffness and damping coefficient of a tracked vehicle by using an inverse problem technique based on Particle Swarm Optimization (PSO) and on Random Restricted Window (R2W). The tracked vehicle has ten road wheels. Each road wheel is linked to a passive and independent suspension. A half car model with seven degrees of freedom describes the bounce and pitch dynamics of the chassis and the vertical dynamics of the wheels. Bounce and pitch accelerations are evaluated when the vehicle traverses a bump terrain. The inverse problem approach minimizes the total quadratic error between estimated and pseudo-experimental data for bounce and pitch accelerations. The viability of a field experiment to estimate the suspension parameters is analyzed, as well as the performance of the employed optimization methods and the effects of the noise on pseudo-experimental data.
Highlights
The logistics and maintenance costs of military tracked vehicles motivate the study of field experiments to evaluate vehicle subsystems performance
Where mb is the mass of the chassis, Zb is the bounce displacement of the center of gravity (C.G.) of the chassis, θ is the pitch angle of the chassis, Zwi is displacement of the wheel i, Iy is the chassis inertia, mw is the mass of the wheel, li is horizontal distance between the chassis C.G. and the suspension i, Cb is the damper coefficient and Kb is the suspension stiffness
The results of the direct problem established in Equations (1) to (6) for bounce and pitch accelerations are compared with reference data (Ata & Oyadiji, 2014) in Figures 3 and 4
Summary
The logistics and maintenance costs of military tracked vehicles motivate the study of field experiments to evaluate vehicle subsystems performance. These vehicles should be on service as long as possible without field maintenance and without return to the maintenance facility. Monitoring the vehicle performance, prior a mechanical failure, a criterion to shutdown maintenance could be established. In this sense, this work proposes and analyzes the viability of a field experiment to evaluate vehicle suspension parameters. This work proposes and analyzes the viability of a field experiment to evaluate vehicle suspension parameters In this experiment, the vehicle traverses a bump terrain, while bounce and pitch
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
