Autonomy in nonlinear systems relies heavily on an intelligent planner, robust enough under changing uncertainty measures, transients, and chaotic behavior in state space. This robustness is mainly achieved through system predictability control. In particular, an autonomous vehicle on a nonrandomly irregular terrain, is considered. The objective is to determine periodic, quasi-periodic and/or chaotic behavior with the transients of nonlinear vibrations of a vehicle model over nonrandom road irregularities. The vehicle includes nonlinear components such as tires, dampers and springs. The nonlinear system is analyzed from the different perspectives of: sensitivity to initial conditions, Fourier transform and power spectra, Lyapunov exponents, attractors with their dimensions, and stability. Fractal sets as convergence maps are also drawn to detect and avoid any chaotic behavior. A stable-singularity dispersion map is developed based on the theoretical concept of Julia sets and analyzed within fractal set theory.
Chaotic dynamic analysis of a vehicle model over road irregularities
Chaotische dynamische Analyse eines Fahrzeugmodells bei Straßenirregularitäten
1990
7 Seiten, 19 Quellen
Aufsatz (Konferenz)
Englisch
Sonar probes vehicle attitude and road irregularities
Kraftfahrwesen | 1985
|Effect of Road Irregularities in the Dynamic Behavior of a Heavy Vehicle
SAE Technical Papers | 2014
|Europäisches Patentamt | 2019
|Rail Vehicle Dynamic Response to Track Irregularities Experimental Approach
British Library Conference Proceedings | 1994
|Road and track irregularities: measurement, assessment and simulation
Online Contents | 2015
|