A Review of Mathematical Models Used to Estimate Wheeled and Tracked Unmanned Ground Vehicle Kinematics and Dynamics
Abstract
:1. Introduction
- Propulsion systems where the horizontal plane, which contains the wheel axis, cannot move vertically because, from a physical point of view, the wheel is mounted on the fixed axis of the gearmotor; it is the most often used solution for small-sized wheeled robots intended to move relatively short distances, most often via real-time human control, which allows for avoiding critical situations; from a constructive point of view, the solution is simple, robust, and leads to lower costs; the gearmotor can be arranged by fixing on the platform, or it can be arranged in the wheel.
- Propulsion systems where the horizontal plane, which contains the wheel axis, can move vertically for very short distances (maximum equal to the wheel radius); this is the case for the propulsion systems where the wheels are provided with individual suspension for each wheel to improve the stability of the platform; this is the solution used for medium and large robots intended to move over medium and long distances autonomously on steep terrain.
- Propulsion systems where the horizontal plane, which contains the wheel axis, can move vertically for large distances; these structures have individually articulated wheels at the extremities of planar structures comprised of articulated bars that can be controlled independently (legs).
2. Aspects Regarding the Kinematics and Dynamics of Wheeled and Tracked UGVs
- The positioning of the steering wheel planes does not rigorously respect the calculation relationship that conditions the absence of lateral slips;
- Elasticity in the transverse direction of the tires used in the construction of the wheels;
- Executing the turn via skidding (skid steering).
- The track that is on the outside of the turn will have a speed Δv higher than the speed at which the platform was traveling before entering the turn, while the track located toward the center of the turn will have a speed lower than the speed of the lower outer track with Δv compared to the speed with which the platform was moving before entering the turn;
- The track on the outside of the turn maintains its speed unchanged, while a track on the inside of the turn decreases its speed, possibly reaching zero.
- The wheels keep their plane of symmetry unchanged;
- The turning radius depends on the speeds of the wheels on the two sides of the robot;
- The turning process is accompanied by the lateral slipping of the wheels.
3. Kinematics and Dynamics Study of Four-Wheeled Robots with Two-Directional Wheels
4. Kinematics and Dynamics Study of Four-Wheeled Robots That Execute Skid Turning
5. Kinematics and Dynamics Study of Tracked Robots
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
Surface area of contact between track and soil | |
Distance from COG to front axle | |
Vehicle centrifugal acceleration | |
Width of the track | |
Cone index | |
COG lateral displacement relative to the symmetry center | |
COG longitudinal displacement relative to the symmetry center | |
Curvature of the trajectory at point M | |
Cohesion coefficient | |
Vehicle tread | |
Vector of the COG | |
Vector of the wheel i center, | |
Longitudinal force acting on the wheel i, | |
Thrust of the inside track of a tracked vehicle | |
Thrust of the outside track of a tracked vehicle | |
Lateral force acting on the wheel i, | |
Resistance force acting on the wheel i, | |
Acceleration due to gravity | |
Height of COG | |
Moment of inertia of the robot in relation to the center of mass COG | |
Longitudinal slip of the track | |
Shear modulus of the soil | |
Cohesive modulus of terrain deformation | |
Friction modulus of terrain deformation | |
Vehicle wheelbase | |
Length of surface of contact between track and soil | |
Mass of the vehicle | |
The normal forces on the roadway acting on the wheel i, | |
Exponent of terrain deformation | |
Distance from the instantaneous center of rotation to the COG | |
Turning radius considering slip | |
Resistance due to soil compaction | |
Motion resistance of the inside track of a tracked vehicle | |
Motion resistance of the outside track of a tracked vehicle | |
Wheel radius | |
Turning radius | |
Displacement of the center of turn | |
Kinetic energy of the robot | |
Velocity of vehicle COG | |
Speed of center of gravity of tracked vehicle | |
Wheel velocity. Indexes: L—left side; R—right side; F—front wheels; B—rear wheels | |
Speed of the outer track and the inner track, respectively | |
Components of vehicle COG velocity in longitudinal and transversal directions, respectively | |
Speed of the vehicle before steering | |
Vehicle weight | |
Longitudinal force acting on wheel. First index: —front wheels; —rear wheels. Second index: —external wheels; —internal wheels. | |
Lateral force acting on wheel. First index: —front wheels; —rear wheels. Second index: —external wheels; —internal wheels. | |
Lateral deviation of point O from the trajectory | |
Vehicle sideslip angle | |
Lateral slip angles at the front and rear wheels, respectively | |
External/internal wheel heading (steering angles) | |
Vehicle heading | |
Angular deviation from the trajectory | |
Vehicle heading in presence of wheel slip | |
Coulomb friction coefficient | |
Longitudinal resistance coefficient | |
Viscous friction coefficient | |
Transverse resistance coefficients | |
Unit vertical stress of outside and inside track, respectively | |
Torque acting on wheel i, | |
Unit share stress of outside and inside track, respectively | |
Resistant torque acting on wheel i, | |
Angle of internal shearing resistance | |
Turning angular speed |
References
- Wong, J.Y. Theory of Ground Vehicles, 3rd ed.; John Willey & Sons: Hoboken, NJ, USA, 2001; ISBN 0-471-35461-9. [Google Scholar]
- Rajamani, R. Vehicle Dynamics and Control, 2nd ed.; Mechanical Engineering Series; Springer: Boston, MA, USA, 2012; ISBN 978-1-4614-1432-2. [Google Scholar] [CrossRef]
- Grigore, L.Ș.; Gorgoteanu, D.; Molder, C.; Alexa, O.; Oncioiu, I.; Ștefan, A.; Constantin, D.; Lupoae, M.; Bălașa, R.-I. A Dynamic Motion Analysis of a Six-Wheel Ground Vehicle for Emergency Intervention Actions. J. Sens. 2021, 21, 1618. [Google Scholar] [CrossRef]
- Huang, D.; Zhai, J.; Ai, W.; Fei, S. Disturbance observer-based robust control for trajectory tracking of wheeled mobile robots. Neurocomputing 2016, 198, 74–79. [Google Scholar] [CrossRef]
- Shojaei, K.; Shahri, A.M.; Tarakameh, A.; Tabibian, B. Adaptive trajectory tracking control of a differential drive wheeled mobile robot. Robotica 2011, 29, 391–402. [Google Scholar] [CrossRef]
- Grigore, L.Ș.; Oncioiu, I.; Priescu, I.; Joița, D. Development and Evaluation of the Traction Characteristics of a Crawler EOD Robot. J. Appl. Sci. 2021, 11, 3757. [Google Scholar] [CrossRef]
- Zhong, Y.; Wang, R.; Feng, H.; Chen, Y. Analysis and research of quadruped robot’s legs: A comprehensive review. Int. J. Adv. Robot. Syst. 2019, 16, 1729881419844148. [Google Scholar] [CrossRef]
- Huang, W.; Xiao, J.; Zeng, F.; Lu, P.; Lin, G.; Hu, W.; Lin, X.; Wu, Y. A Quadruped Robot with Three-Dimensional Flexible Legs. J. Sens. 2021, 21, 4907. [Google Scholar] [CrossRef] [PubMed]
- Lakkad, S. Modeling and Simulation of Steering Systems for Autonomous Vehicles. Master’s Thesis, The Florida State University, Tallahassee, FL, USA, 2004. Available online: https://purl.flvc.org/fsu/fd/FSU_migr_etd-3310 (accessed on 15 June 2023).
- Zhang, W. A robust lateral tracking control strategy for autonomous driving vehicles. Mech. Syst. Signal-Process. 2021, 150, 107238. [Google Scholar] [CrossRef]
- Siegwart, R.; Nourbakhsh, I.R. Introduction to Autonomous Mobile Robots; Bradford Book; MIT Press: Cambridge, MA, USA; London, UK, 2004; ISBN 0-262-19502-X. [Google Scholar]
- Wu, X.; Xu, M.; Wang, L. Differential speed steering control for four-wheel independent driving electric vehicle. In Proceedings of the IEEE International Symposium on Industrial Electronics, Taipei, Taiwan, 28–31 May 2013; pp. 1–6. [Google Scholar] [CrossRef]
- Muir, P.F.; Neuman, C.P. Kinematic Modeling of Wheeled Mobile Robots; Technical Report CMU-RI-TR-86-12; The Robotics Institute, Carnegie-Mellon University: Pittsburg, PA, USA, 1986; Available online: https://www.ri.cmu.edu/pub_files/pub3/muir_patrick_1986_1/muir_patrick_1986_1.pdf (accessed on 10 June 2023).
- Yan, C.; Shao, K.; Wang, X.; Zheng, J.; Liang, B. Reference Governor-Based Control for Active Rollover Avoidance of Mobile Robots. In Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 17–20 October 2021; pp. 429–435. [Google Scholar] [CrossRef]
- Jeon, H.; Lee, D. Explicit Identification of Pointwise Terrain Gradients for Speed Compensation of Four Driving Tracks in Passively Articulated Tracked Mobile Robot. Mathematics 2023, 11, 905. [Google Scholar] [CrossRef]
- Fekih, A.; Seelem, S. Effective fault-tolerant control paradigm for path tracking in autonomous vehicles. Syst. Sci. Control Eng. 2015, 3, 177–188. [Google Scholar] [CrossRef]
- Chen, C.-Y.; Li, T.-H.S.; Yeh, Y.-C.; Chang, C.-C. Design and implementation of an adaptive sliding-mode dynamic controller for wheeled mobile robots. Mechatronics 2009, 19, 156–166. [Google Scholar] [CrossRef]
- Domina, Á.; Tihanyi, V. Model Predictive Controller Approach for Automated Vehicle’s Path Tracking. Sensors 2023, 23, 6862. [Google Scholar] [CrossRef]
- Apostolopoulos, D.S. Analytical Configuration of Wheeled Robotic Locomotion. CMU-RI-TR-01-08. Ph.D. Thesis, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA, April 2001. Available online: https://www.ri.cmu.edu/pub_files/pub2/apostolopoulos_dimitrios_2001_1/apostolopoulos_dimitrios_2001_1.pdf (accessed on 10 June 2023).
- Ciobotaru, T. Engineering of Military Tracked Vehicles, II, Mobility, Tracked Propeller; Publishing House Military Technical Academy Ferdinand I: Bucharest, Romania, 2019; ISBN 978-973-640-296-8. [Google Scholar]
- Golconda, S. Steering Control for a Skid-Steered Autonomous Ground Vehicle at Varying Speed. Master’s Thesis, University Louisiana at Lafayette, Lafayette, LA, USA, 2005. [Google Scholar]
- Hutangkabodee, S.; Zweir, Y.H.; Seneviratne, L.D.; Althoefer, K. Validation of Soil Parameter Identification for Track-Terrain Interaction Dynamics. In Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 29 October–2 November 2007. [Google Scholar] [CrossRef]
- Martinez, J.L.; Mandow, A.; Morales, J.; Pedraza, S.; Garcia-Cerezo, A. Approximating Kinematics for Tracked Mobile Robots. Int. J. Robot. Res. 2005, 24, 867–878. [Google Scholar] [CrossRef]
- Lin, L.; Xu, Z.; Zheng, J. Predefined Time Active Disturbance Rejectionfor Nonholonomic Mobile Robots. Mathematics 2023, 11, 2704. [Google Scholar] [CrossRef]
- Said, A.-M.; Seneviratne, L.D.; Althoefer, K. Track–terrain modelling and traversability prediction for tracked vehicles on soft terrain. J. Terramech. 2010, 47, 151–160. [Google Scholar] [CrossRef]
- Amar, F.B.; Grand, C.; Besseron, G.; Lhomme-Desages, D.; Lucet, E. Mobility and stability of robots on rough terrain: Modeling and control. In Proceedings of the IROS, Kompai Robotics, Nice, France, 22–26 September 2008; Available online: https://kompairobotics.com/wp-content/uploads/2018/12/32.pdf (accessed on 11 June 2023).
- Hutangkabodee, S.; Zweir, Y.H.; Seneviratne, L.D.; Althoefer, K. Soil Parameter Identification and Driving Force Prediction for Wheel-Terrain Interaction. Int. J. Adv. Robot. Syst. 2008, 5, 425–432. [Google Scholar] [CrossRef]
- Kozłowski, K.; Pazderski, D. Modeling and control of a 4-wheel skid-steering mobile robot. Int. J. Math. Comput. Sci. 2004, 14, 477–496. Available online: https://eudml.org/doc/207713 (accessed on 8 June 2023).
- Lenain, R.; Thuilot, B.; Cariou, C.; Martinet, P. Mixed kinematic and dynamic sideslip angle observer for accurate control of fast off-road mobile robots. J. Field Robot. 2010, 27, 181–196. [Google Scholar] [CrossRef]
- Lenain, R.; Lucet, E.; Grand, C.; Thuilot, B.; Amar, F.B. Accurate and stable mobile robot path tracking: An integrated solution for off-road and high speed context. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 18–22 October 2010. [Google Scholar] [CrossRef]
- Lenain, R.; Thuilot, B.; Cariou, C.; Martinet, P. High accuracy path tracking for vehicles in presence of sliding: Application to farm vehicle automatic guidance for agricultural tasks. Auton. Robot. 2006, 21, 79–97. [Google Scholar] [CrossRef]
- Cariou, C.; Lenain, R.; Thuilot, B.; Martinet, P. Adaptive control of four-wheel-steering off-road mobile robots: Application to path tracking and heading control in presence of sliding. In Proceedings of the IEEE Eplore International Conference IROS 2008: Intelligent Robots and Systems, Nice, France, 22–26 September 2008. [Google Scholar] [CrossRef]
- Cariou, C.; Lenain, R.; Thuilot, B.; Martinet, P. Path following of a vehicle-trailer system in presence of sliding: Application to automatic guidance of a towed agricultural implement. In Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 18–22 October 2010. [Google Scholar] [CrossRef]
- Viana, Í.B.; Kanchwala, H.; Ahiska, K.; Aouf, N. A Comparison of Trajectory Planning and Control Frameworks for Cooperative Autonomous Driving. J. Dyn. Syst. Meas. Control 2021, 143, 71002. [Google Scholar] [CrossRef]
- Mandow, A.; Martinez, J.L.; Morales, J.; Blanco, J.L.; Garcia-Cerezo, A.; Gonzalez, J. Experimental Kinematics for Wheeled Skid-Steer Mobile Robots. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 29 October–2 November 2007; pp. 1222–1227. [Google Scholar] [CrossRef]
- Tagne, G.; Talj, R.; Charara, A. Higher-order sliding mode control for lateral dynamics of autonomous vehicles, with experimental validation. In Proceedings of the 2013 IEEE intelligent vehicles symposium (IV), Gold Coast, Australia, 23–26 June 2013. [Google Scholar] [CrossRef]
- Revueltas, L.; Santos-Sánchez, O.-J.; Salazar, S.; Lozano, R. Optimizing Nonlinear Lateral Control for an Autonomous Vehicle. J. Veh. 2023, 5, 978–993. [Google Scholar] [CrossRef]
- Katriniok, A.; Maschuw, J.P.; Christen, F.; Eckstein, L.; Abel, D. Optimal vehicle dynamics control for combined longitudinal and lateral autonomous vehicle guidance. In Proceedings of the 2013 European Control Conference (ECC), Zurich, Switzerland, 17–19 July 2013; pp. 974–979. [Google Scholar] [CrossRef]
- Shamah, B. Experimental Comparison of Skid Steering vs. Explicit Steering for a Wheeled Mobile Robot. Master’s Thesis, The Robotics Institute, Carnegie Mellon University, Pittsburgh PA, USA, 1999. Available online: https://www.ri.cmu.edu/pub_files/pub1/shamah_benjamin_1999_1/shamah_benjamin_1999_1.pdf (accessed on 12 June 2023).
- Xu, Y.; Tang, W.; Chen, B.; Qiu, L.; Yang, R. A Model Predictive Control with Preview-Follower Theory Algorithm for Trajectory Tracking Control in Autonomous Vehicles. Symmetry 2021, 13, 381. [Google Scholar] [CrossRef]
- Wei, Y.; Collins, E.; Chuy, O. Dynamic Modeling and Power Modeling of Robotic Skid-Steered Wheeled Vehicles. In Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 10–15 October 2009; pp. 4212–4219. [Google Scholar] [CrossRef]
- Wong, J.Y.; Chiang, C.F. A general theory for skid steering of tracked vehicles. Proc. Inst. Mech. Eng. Part D J. Automob. Eng. 2001, 215, 343–355. [Google Scholar] [CrossRef]
- Wong, J.Y. Terramechanics and Off-Road Vehicle Engineering: Terrain Behaviour, Off-Road Vehicle Performance and Design, 2nd ed.; Publish Butterworth Heinemann: Oxford, UK, 2009; p. 488. ISBN 978-0-75-068561-0. [Google Scholar] [CrossRef]
- Ciobotaru, T. Semi-Empiric Algorithm for Assessment of the Vehicle Mobility. Leonardo Electron. J. Pract. Technol. 2009, 8, 19–30. Available online: https://lejpt.academicdirect.org/A15/019_030.pdf (accessed on 12 June 2023).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Alexa, O.; Ciobotaru, T.; Grigore, L.Ș.; Grigorie, T.L.; Ștefan, A.; Oncioiu, I.; Priescu, I.; Vlădescu, C. A Review of Mathematical Models Used to Estimate Wheeled and Tracked Unmanned Ground Vehicle Kinematics and Dynamics. Mathematics 2023, 11, 3735. https://doi.org/10.3390/math11173735
Alexa O, Ciobotaru T, Grigore LȘ, Grigorie TL, Ștefan A, Oncioiu I, Priescu I, Vlădescu C. A Review of Mathematical Models Used to Estimate Wheeled and Tracked Unmanned Ground Vehicle Kinematics and Dynamics. Mathematics. 2023; 11(17):3735. https://doi.org/10.3390/math11173735
Chicago/Turabian StyleAlexa, Octavian, Ticușor Ciobotaru, Lucian Ștefăniță Grigore, Teodor Lucian Grigorie, Amado Ștefan, Ionica Oncioiu, Iustin Priescu, and Cristina Vlădescu. 2023. "A Review of Mathematical Models Used to Estimate Wheeled and Tracked Unmanned Ground Vehicle Kinematics and Dynamics" Mathematics 11, no. 17: 3735. https://doi.org/10.3390/math11173735
APA StyleAlexa, O., Ciobotaru, T., Grigore, L. Ș., Grigorie, T. L., Ștefan, A., Oncioiu, I., Priescu, I., & Vlădescu, C. (2023). A Review of Mathematical Models Used to Estimate Wheeled and Tracked Unmanned Ground Vehicle Kinematics and Dynamics. Mathematics, 11(17), 3735. https://doi.org/10.3390/math11173735