59225 THE DEVELOPMENT OF A REAL-TIME SIMULATOR FOR UNMANNED GROUND VEHICLE(Control of Multibody Systems)

2010 ◽  
Vol 2010.5 (0) ◽  
pp. _59225-1_-_59225-8_
Author(s):  
Jong Seok Lee ◽  
Jae Yi Oh ◽  
Yeo Giel Yoon ◽  
Ju Yong Kang ◽  
Won Gun Kim ◽  
...  
2007 ◽  
Author(s):  
Holger M. Jaenisch ◽  
James W. Handley ◽  
Michael L. Hicklen

2018 ◽  
Vol 24 (4) ◽  
pp. 354-360
Author(s):  
Hajun Song ◽  
Jong-Boo Han ◽  
Hyosung Hong ◽  
Samuel Jung ◽  
Sung-Soo Kim ◽  
...  

2015 ◽  
Vol 220-221 ◽  
pp. 774-780 ◽  
Author(s):  
Eduardo Corral ◽  
Gennady Aryassov ◽  
Jesús Meneses

The aim of this work is to improve the navigation capabilities of an off-road unmanned ground vehicle (UGV) by optimizing the angles between its legs and its body (its configuration angles), as the vehicle travels by a particular track profile. We present a numerical program based on a quasi-static half vehicle model. For a profile entered by the user, the program will be able to calculate how the angles between the legs and the body must vary along the trajectory, so that to maintain the torque on the wheels as constant as possible. Results may be helpful in vehicle control tasks, in particular when passing obstacles efficiently.First of all, some considerations concerning the nomenclature and geometry of the vehicle are presented. Then, the kinematics of the vehicle is exposed starting from the function that defines the profile. We focus on the position and/or trajectories of remarkable points to be employed later. From the kinematics, the quasi-static model is developed and the equations to calculate the forces and torques involved are presented. The algorithm basically calculates the position along the track and the angles between the legs and the body and then, by using the previous equations, finds the optimal values of those angles that satisfy a given condition (as equal to normal forces, torque constancy, minimum torque, etc.)As results, we present the configuration angles that equal to the normal forces on the wheels when the vehicle ascends a ramp, depending on the slope. We also present the optimal configuration angles variation required for the vehicle to pass over a step obstacle. And for a complex profile how the torque changes in function of the angles between the legs.


Author(s):  
Andrew Eick ◽  
David Bevly

Rough, off-road terrain contains multiple hazards for an unmanned ground vehicle (UGV). In this paper, hazards are classified into three groups: obstacles, rough traversable terrain, and rough untraversable terrain. These three types of hazards create a rollover risk for a UGV. A nonlinear model predictive controller (NMPC) that is capable of navigating a UGV through these hazards is presented. The control algorithm features a nonlinear tire model which more accurately captures the dynamics of the UGV when compared to a linearized tire model, and has a fast enough run time for real time implementation. On an actual vehicle, the UGV is assumed to be equipped with a perception based sensor, such as a Light Detection And Ranging (LiDAR) unit, to provide information of the terrain roughness, grade, and elevation. This information is used by the NMPC to safely control the vehicle to a target location. However, for the purposes of this paper, control inputs and terrain are simulated in Car-Sim [1], and the feasibility of real time implementation is investigated.


2006 ◽  
Author(s):  
Jonathan Anderson ◽  
Dah-Jye Lee ◽  
Robert Schoenberger ◽  
Zhaoyi Wei ◽  
James Archibald

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