Topic
Vehicle dynamics
About: Vehicle dynamics is a research topic. Over the lifetime, 12909 publications have been published within this topic receiving 204091 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: The state-of-the-art general purpose vehicle system dynamics software is reviewed in this article, where two representative programs, MEDYNA and NEWEUL, are described with respect to modeling options, computational methods, software engineering as well as interfaces to other software.
Abstract: SUMMARY This paper pursues two objectives: Firstly, to review the state-of-the-art of general purpose vehicle system dynamics software and secondly, to describe two representatives, the program MEDYNA and the program NEWEUL. The general modeling requirements for vehicle dynamics software, the multibody system approach and a comparative discussion of multibody software are given. The two programs NEWEUL and MEDYNA are described with respect to modeling options, computational methods, software engineering as well as their interfaces to other software. The applicability of these programs is demonstrated on two selected examples, one from road vehicle problems and the other from wheel/rail dynamics. It is concluded that general purpose software based on multibody formalisms will play the same role for mechanical systems, especially vehicle systems, as finite element methods play for elastic structures.
65 citations
Proceedings Article•
15 May 2011TL;DR: In this article, a continuous, time varying adaptive controller is developed for an underactuated quadrotor unmanned aerial vehicle (UAV), which is subject to uncertainties associated with mass, inertia matrix, and aerodynamic damping coefficients.
Abstract: In this paper, a continuous, time varying adaptive controller is developed for an underactuated quadrotor unmanned aerial vehicle (UAV). The vehicle's dynamic model is subject to uncertainties associated with mass, inertia matrix, and aerodynamic damping coefficients. A Lyapunov based approach is utilized to ensure that position and yaw rotation tracking errors are ultimately driven to a neighborhood about zero that can be made arbitrary small. Simulation results are included to illustrate the performance of the control strategy.
65 citations
01 Feb 1978
TL;DR: In this paper, the results of a study whose purpose was to analyze and correlate recent data on the directional response and performance of driver/vehicle systems were summarized. But, the results were limited to driving situations, such as open and closed loop limit maneuvers, avoidance maneuvers and nominal closed loop regulation and maneuver tasks.
Abstract: This paper summarizes the results of a study whose purpose was to analyze and correlate recent data on the directional response and performance of driver/vehicle systems. The driving situations considered included open and closed loop limit maneuvers, avoidance maneuvers, and nominal closed loop regulation and maneuver tasks. For automobiles, the two parameters (gain and time constant) used in most of the correlation plots effectively describe the key handling properties. The available data suggest composite boundaries for steady state steering gain and effective time constant, based on a combination of system performance and workload-related driver subjective opinion measures. The resulting criteria plot, defined at 50 mph shows that there is a range of steering gains which are satisfactory - the unsatisfactory regions involving values which are either too low or too high. There is also an upper limit on the effective time constant beyond which the vehicle's directional response is not rapid enough. This upper limit varies with steering gain.
65 citations
TL;DR: In this paper, a non-linear multibody model of a rail vehicle is combined with an afinite element model of its carbody, which is reduced by eigenmode representation.
Abstract: In this paper a non-linearmultibody model of a rail vehicle is combined with afinite element model of its carbody. The finiteelement model is reduced by eigenmode representation.Simulation, i.e. numerical solution of the equationsof motion, is carried out using the combined flexiblemultibody model. Track data measured on a real trackis used as input. Simulation results are compared withon-track measurements carried out on the real vehicleand track. The paper presents four criteria to selectimportant eigenmodes, including both general dynamicsand comfort aspects, and applies them to the abovementioned case.
65 citations
TL;DR: The proposed methodology is an approach included in the control areas of non-linear feedback linearization, model-based and uncertainties consideration, making use of a pioneering algorithm in underwater vehicles, based on the fusion of a sliding mode controller and an adaptive fuzzy system.
Abstract: This paper address the kinematic variables control problem for the low-speed manoeuvring of a low cost and underactuated underwater vehicle Control of underwater vehicles is not simple, mainly due to the non-linear and coupled character of system equations, the lack of a precise model of vehicle dynamics and parameters, as well as the appearance of internal and external perturbations The proposed methodology is an approach included in the control areas of non-linear feedback linearization, model-based and uncertainties consideration, making use of a pioneering algorithm in underwater vehicles It is based on the fusion of a sliding mode controller and an adaptive fuzzy system, including the advantages of both systems The main advantage of this methodology is that it relaxes the required knowledge of vehicle model, reducing the cost of its design The described controller is part of a modular and simple 2D guidance and control architecture The controller makes use of a semi-decoupled non-linear plant model of the Snorkel vehicle and it is compounded by three independent controllers, each one for the three controllable DOFs of the vehicle The experimental results demonstrate the good performance of the proposed controller, within the constraints of the sensorial system and the uncertainty of vehicle theoretical models
65 citations