Academic literature on the topic 'Path tracking control'

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Journal articles on the topic "Path tracking control"

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SZABOLCSI, Róbert. "MODEL PREDICTIVE CONTROL APPLIED IN UAV FLIGHT PATH TRACKING MISSIONS." Review of the Air Force Academy 17, no. 1 (2019): 49–62. http://dx.doi.org/10.19062/1842-9238.2019.17.1.7.

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Zhu, Liwei, Weiming Sun, Qian Zhang, En Lu, Jialin Xue, and Guohui Sha. "Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control." Agriculture 15, no. 15 (2025): 1663. https://doi.org/10.3390/agriculture15151663.

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In addressing the challenges of low path tracking accuracy and poor robustness during tractor autonomous operation, this paper proposes a path tracking control method for tractors that integrates prescribed performance with sliding mode control (SMC). A key feature of this control method is its inherent immunity to system parameter perturbations and external disturbances, while ensuring path tracking errors are constrained within a predefined range. First, the tractor is simplified into a two-wheeled vehicle model, and a path tracking error model is established based on the reference operation
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Yang, Zeyu, and Liang Hong. "Intelligent Vehicle Path Tracking Control Based on Model Predictive Control." Journal of Research in Science and Engineering 7, no. 3 (2025): 34–41. https://doi.org/10.53469/jrse.2024.07(03).8.

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With the rapid development of intelligent transportation system, the path tracking control of intelligent vehicles has become one of the key technologies. In this paper, the path tracking method of intelligent vehicles based on model predictive control (MPC) is studied deeply. Firstly, the control law for adaptive adjustment of the optimal time domain is designed based on the two-degree-of-freedom vehicle dynamics model and the model control algorithm. Next, the MPC trajectory tracking controller is built based on the error characteristics of the actual front wheel angle and the predicted fron
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Hu, Chaofang, Lingxue Zhao, Lei Cao, Patrick Tjan, and Na Wang. "Steering control based on model predictive control for obstacle avoidance of unmanned ground vehicle." Measurement and Control 53, no. 3-4 (2020): 501–18. http://dx.doi.org/10.1177/0020294019878871.

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In this paper, a strategy based on model predictive control consisting of path planning and path tracking is designed for obstacle avoidance steering control problem of the unmanned ground vehicle. The path planning controller can reconfigure a new obstacle avoidance reference path, where the constraint of the front-wheel-steering angle is transformed to formulate lateral acceleration constraint. The path tracking controller is designed to realize the accurate and fast following of the reconfigured path, and the control variable of tracking controller is steering angle. In this work, obstacles
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Najson, Federico, and Eliezer Kreindler. "Robot robust path tracking." Dynamics and Control 6, no. 4 (1996): 333–59. http://dx.doi.org/10.1007/bf02169812.

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Cong, GENG, ZHANG Jian, and LIU Jinxiong. "Path Tracking Control Based on Adaptive Control Period." IFAC-PapersOnLine 53, no. 5 (2020): 592–97. http://dx.doi.org/10.1016/j.ifacol.2021.04.148.

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Lee, Jaepoong, and Seongjin Yim. "Comparative Study of Path Tracking Controllers on Low Friction Roads for Autonomous Vehicles." Machines 11, no. 3 (2023): 403. http://dx.doi.org/10.3390/machines11030403.

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This paper presents a comparison among path tracking controllers on low-friction roads for autonomous vehicles. There are two goals in this paper. The first is to check the performance of path tracking controllers on low-friction roads, and the second is to check the effectiveness of four-wheel steering (4WS) for path tracking. To fully investigate the performance of path-tracking controllers on low-friction roads in this paper, the pure pursuit method, Stanley method, PID control, linear quadratic regulator, sliding mode control and model predictive control are designed and compared in terms
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Tan, Y. G., D. K. Liu, F. Liu, and Z. D. Zhou. "Digital robust preview control of path tracking." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 219, no. 1 (2005): 111–16. http://dx.doi.org/10.1243/095440705x9434.

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A robust optimal preview control method is presented in this paper for path tracking control problems to improve robustness and tracking precision of path tracking control systems. The known path information is used as reference input signals. Simulation results show that this method is valid not only for improving the performance of highly accurate trajectory control but also for improving system stabilization.
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Li, Yibo, Qi Cao, and Fang Liu. "Design of control system for driverless tractor." MATEC Web of Conferences 309 (2020): 04001. http://dx.doi.org/10.1051/matecconf/202030904001.

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This paper uses Tianjin TieNiu crawler tractor as the experimental platform to design an unmanned agricultural machinery control system based on RTK-GPS (Differential GPS Technology). The article expounds the overall design of the control system and proposes a path tracking control algorithm. Simulation and experimental results show that the control algorithm can complete the path tracking requirements of unmanned agricultural machinery. The system can control the unmanned agricultural machinery to follow a predetermined route. The speed is 0.55m/s, the maximum error of linear path tracking of
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Wang, Huiran, Qidong Wang, Wuwei Chen, Linfeng Zhao, and Dongkui Tan. "Path tracking based on model predictive control with variable predictive horizon." Transactions of the Institute of Measurement and Control 43, no. 12 (2021): 2676–88. http://dx.doi.org/10.1177/01423312211003809.

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Model predictive control is one of the main methods used in path tracking for autonomous vehicles. To improve the path tracking performance of the vehicle, a path tracking method based on model predictive control with variable predictive horizon is proposed in this paper. Based on the designed model predictive controller for path tracking, the response analysis of path tracking control system under the different predictive horizons is carried out to clarify the influence of predictive horizon on path tracking accuracy, driving comfort and real-time of the control algorithm. Then, taking the la
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Dissertations / Theses on the topic "Path tracking control"

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Chen, Yiyang. "Iterative learning control for spatial path tracking." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415865/.

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Iterative learning control (ILC) is a high performance method for systems operating in a repetitive manner, which aims to improve tracking performance by learning from previous trial information. In recent years research interest has focused on generalizing the task description in order to achieve greater performance and flexibility. In particular, researchers have addressed the ease of tracking only at a single, or a collection of time instants. However, there still remain substantial open problems, such as the choice of the time instants, the need for system constraint handling, and the abil
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Boström-Rost, Per. "On Informative Path Planning for Tracking and Surveillance." Licentiate thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157026.

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This thesis studies a class of sensor management problems called informative path planning (IPP). Sensor management refers to the problem of optimizing control inputs for sensor systems in dynamic environments in order to achieve operational objectives. The problems are commonly formulated as stochastic optimal control problems, where to objective is to maximize the information gained from future measurements. In IPP, the control inputs affect the movement of the sensor platforms, and the goal is to compute trajectories from where the sensors can obtain measurements that maximize the estimatio
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Haghshenas, Hamed. "Time-Optimal Cooperative Path Tracking for Multi-Robot Systems." Licentiate thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-179217.

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Robotic systems are nowadays the key technology in a wide variety of applications. The increasing demand for performance of robotic systems is often met by employing a team of cooperating robots for a specific task.When the task carried out by the robots involves manipulation of an object, the multi-robot system is said to perform a cooperative manipulation task.Cooperative manipulation is an important capability for extending the domain of robotic applications.This thesis studies the time-optimal path tracking problem for a cooperative manipulation scenario where an object is rigidly grasped
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Törnroth, Oscar, and Truls Nyberg. "Design and Implementation of a Strategy for Path Tracking on Autonomous Heavy-Duty Vehicles." Thesis, Linköpings universitet, Fordonssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149266.

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In this thesis, a combined feedforward and feedback controller for improved path tracking on autonomous heavy-duty vehicles is designed and implemented. The steering wheel is controlled in order to follow a reference curvature, computed by a higher-level MPC, responsible for minimizing the distance to a planned path. The steering dynamics, from steering wheel via wheel angles, to a measurable vehicle curvature, is modeled, and a conversion from desired curvature gain to input angle to the steering wheel is derived. Tests with an autonomous Scania R580 show that the desired curvature can be fol
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Thommyppillai, Mark P. "Optimal path-tracking of virtual race-cars using gain-scheduled preview control." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6098.

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In the search for a more capable minimum-lap-time-prediction program, the presence of an alternative solution has been introduced, which requires the development of a high-quality path-tracking controller. Preview Discrete Linear Quadratic Regulator (DLQR) theory has been used to generate optimal tracking control gains for a given car model. The calculation of such gains are performed off-line, reducing the computational burden during simulated tracking trials. A simple car model was used to develop limit-tracking control strategies, first for an understeering and then for an oversteering car,
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Donadel, Rodrigo. "Modeling and control of a tiltrotor unmanned aerial vehicle for path tracking." reponame:Repositório Institucional da UFSC, 2015. https://repositorio.ufsc.br/xmlui/handle/123456789/158766.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2015.<br>Made available in DSpace on 2016-02-09T03:01:12Z (GMT). No. of bitstreams: 1 337437.pdf: 7414111 bytes, checksum: 2bab6f7b0d4d376f975801166ea73051 (MD5) Previous issue date: 2015<br>Abstract : This master thesis deals with the modeling and control of a small scale birotor tiltrotor unmanned aerial vehicle (UAV). A tiltrotor is characterized by a mechanism that tilts the aircraft's rotors in order to control the flight. A
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Yan, Yutong. "Simulation, Control and Path Planning for Articulated Unmanned Ground Vehicles." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126394.

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The purpose of this project is to implement obstacle avoidance algorithms to drive the articulated vehicle autonomously in an unknown environment, which is simulated by AgX Dynamics™ simulation software and controlled by Matlab® programming software. Three driving modes are developed for driving the vehicle (Manual, Semi-autonomous and Autonomous) in this project. Path tracking algorithms and obstacle avoidance algorithms are implemented to navigate the vehicle. A GUI was built and used for the manual driving mode in this project. The semi-autonomous mode checked different cases: change lanes,
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Yuan, Hongliang. "Control of NonH=holonomic Systems." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2751.

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Many real-world electrical and mechanical systems have velocity-dependent constraints in their dynamic models. For example, car-like robots, unmanned aerial vehicles, autonomous underwater vehicles and hopping robots, etc. Most of these systems can be transformed into a chained form, which is considered as a canonical form of these nonholonomic systems. Hence, study of chained systems ensure their wide applicability. This thesis studied the problem of continuous feed-back control of the chained systems while pursuing inverse optimality and exponential convergence rates, as well as the feed-bac
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Werner, Roland [Verfasser]. "Centimeter-Level Accuracy Path Tracking Control of Tractors and Actively Steered Implements / Roland Werner." München : Verlag Dr. Hut, 2015. http://d-nb.info/1076437311/34.

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Xiang, Xianbo. "Coordinated motion control of multiple underactuated autonomous underwater vehicles." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20005.

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Cette thèse traite de la question du contrôle du mouvement d'engins non-holonomes et sous-actionnés évoluant de manière coordonnée et autonome. Les différentes approches considérées sont le suivi de trajectoire (Trajectory Tracking TT) et le suivi de chemin (path following PF). Une nouvelle méthode de contrôle est proposée. Dénommée Path-Tracking (PT), elle permet de cumuler les avantages de chacune des deux précédentes méthodes, permettant de cumuler la souplesse de la convergence induite par le suivi de chemin avec le respect des contraintes temporelles du suivi de trajectoire. L'étude et la
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Books on the topic "Path tracking control"

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J, Ostroff Aaron, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Total energy-rate feedback for automatic glide-slope tracking during wind-shear penetration. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Cottle, Dean J. Mine avoidance and localization for underwater vehicles using continuous curvature path generation and non-linear tracking control. Naval Postgraduate School, 1993.

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Zhu, Sheng, Levent Guvenc, Bilin Aksun-Guvenc, and ¿ukru Yaren Gelbal. Autonomous Road Vehicle Path Planning and Tracking Control. Wiley & Sons, Incorporated, John, 2021.

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Zhu, Sheng, Levent Guvenc, Bilin Aksun-Guvenc, and ¿ukru Yaren Gelbal. Autonomous Road Vehicle Path Planning and Tracking Control. Wiley & Sons, Incorporated, John, 2021.

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Zhu, Sheng, Levent Guvenc, Bilin Aksun-Guvenc, and Sukru Yaren Gelbal. Autonomous Road Vehicle Path Planning and Tracking Control. Wiley & Sons, Incorporated, John, 2021.

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Zhu, Sheng, Levent Guvenc, Bilin Aksun-Guvenc, and Sukru Yaren Gelbal. Autonomous Road Vehicle Path Planning and Tracking Control. Wiley & Sons, Limited, John, 2022.

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Pfitz, Fabian Russell. Trajectory Tracking, Path Following, and Learning in Model Predictive Control. Logos Verlag Berlin, 2023.

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Total energy-rate feedback for automatic glide-slope tracking during wind-shear penetration. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Book chapters on the topic "Path tracking control"

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Zhang, Yunong, Binbin Qiu, and Xiaodong Li. "Cart Path Tracking Control of IPC System." In Zhang-Gradient Control. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8257-8_9.

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Song, Wei, Junying Min, Tao Zhang, Yong Zhang, and Fengkui Zhao. "Research on Path Tracking Control of Driverless Trucks." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_49.

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AbstractPath tracking is a crucial function for achieving unmanned driving. This paper addresses the challenge of low tracking accuracy and poor stability in driverless trucks caused by uncertain model parameters and steady-state errors during path tracking. A linear quadratic regulator (LQR) controller optimization by an improved genetic algorithm has been designed. Firstly, the paper formulates the dynamic model of a two-degree-of-freedom vehicle as well as the model for tracking error. Subsequently, path tracking control is achieved through the utilization of feedforward control and LQR fee
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Tota, Antonio, Mauro Velardocchia, and Levent Güvenç. "Path Tracking Control for Autonomous Driving Applications." In Advances in Service and Industrial Robotics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61276-8_49.

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Wu, Zhihao, Ning Zhang, Pu Li, Zihong Li, and Jianrun Zhang. "A Study on the Control of Handling and Stability of a Four Wheel Independent Steering Electric Vehicle." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_61.

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AbstractThe path-tracking control of electric vehicles with four wheel independent steering (FWIS) is crucial for enhancing vehicle stability. This paper aims to address the issue of multi-actuator redundancy by coordinating the control allocation of multiple actuators, thereby improving the handling stability and path tracking performance of FWIS vehicles. First, a model of FWIS electric vehicle is developed, taking into account both the nonlinear tyre and motor actuator characteristics. Subsequently, a path tracking model is established and a hierarchical control architecture is designed. Th
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Lu, Jianglin. "Local Path Planning and Path Tracking Control Based on Explicit MPC." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9376-3_34.

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Wang, Xiaohua, Kangkang Xu, Lin Xu, Zhonghua Miao, and Jin Zhou. "Hinged Sweeper Kinematic Modeling and Path Tracking Control." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9698-5_34.

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Wang, Shuo, Yu Wang, Min Tan, et al. "Path Tracking Control of the Underwater Biomimetic Robot." In Underwater Biomimetic Vehicle-Manipulator System. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0655-0_6.

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Tian, Baiyu, Tianliang Lin, Chunhui Zhang, Zhongshen Li, Shengjie Fu, and Qihuai Chen. "Mixed Linear Quadratic Regulator Controller Design for Path Tracking Control of Autonomous Tracked Vehicles." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_10.

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AbstractWith the advancements in autonomous driving technology, artificial intelligence and computer science have facilitated the autonomous operation of machinery. Industrial production efficiency is enhanced by this autonomy in construction machinery. Furthermore, personal safety for machine operators is also improved. Among these advancements, path tracking control emerges as a critical component for the automation of construction machinery. It primarily focuses on the lateral and longitudinal control of the machinery, enabling stable tracking of a predefined path even under challenging ope
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Wan, Hang, Hui Liu, Shida Nie, and Lijin Han. "A Decoupling Control Scheme for Path Tracking with Model Predictive Path Integral and Output Regulator." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_88.

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AbstractThe coupling and nonlinearity of vehicle dynamics present considerable challenges to path tracking of autonomous vehicles. In this paper, a necessary condition is derived to decouple the translational motion from yawing motion based on the time-scale separation. Consequently, the translational motion is regulated over an extended control horizon to generate a human-like tracking trajectory. The yawing motion is regulated based on a high-fidelity control model. In addition, model predictive path integral (MPPI) is developed to mitigate the computational burden of nonlinear motion planni
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Ma, Bin, Kangyi Zhan, Zibin Yu, and Fenfen He. "Path Tracking Control of UUV Based on LOS-MPC Decoupling Control." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_76.

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Conference papers on the topic "Path tracking control"

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Zulkarnain, Noraishikin, Nurul Husna Fuad, Hairi Zamzuri, et al. "Autonomous Vehicle Path Tracking Control Considering Yaw Stability." In 2024 IEEE International Conference on Electrical Energy Conversion Systems and Control(IEECSC). IEEE, 2024. https://doi.org/10.1109/ieecsc62814.2024.10913698.

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Yu, Yu, Shuen Zhao, Weiling Wang, and Xingkui Shen. "Intelligent Vehicle Path Tracking Control based on Adaptive Model Predictive Control." In 2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 2024. https://doi.org/10.1109/cvci63518.2024.10830073.

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Zhou, Zhiyuan, and Yi Bao. "Path tracking control of autonomous vehicle based on MPC." In 2024 3rd International Conference on Energy and Power Engineering, Control Engineering (EPECE). IEEE, 2024. http://dx.doi.org/10.1109/epece63428.2024.00046.

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Shi, Xiaobo, Baokui Li, Qing Fei, and Yijia Zhang. "Path Tracking Control for the Docking of Unmanned Surface Vessel." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662208.

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Pinsky, M., and M. Sami Fadali. "Path Tracking using WKB Approximation." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792361.

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Rokonuzzaman, Mohammad, Navid Mohajer, Ibrahim Hossain, and Douglas Creighton. "Autonomous Vehicle Path Tracking with Unreliable Reference Path." In 2024 Australian & New Zealand Control Conference (ANZCC). IEEE, 2024. http://dx.doi.org/10.1109/anzcc59813.2024.10432855.

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Ambike, Satyajit, James P. Schmiedeler, and Michael M. Stanisˇic´. "Geometric, Spatial Path Tracking Using Non-Redundant Manipulators via Speed-Ratio Control." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28061.

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Path tracking can be accomplished by separating the control of the desired trajectory geometry and the control of the path variable. Existing methods accomplish tracking of up to third-order geometric properties of planar paths and up to second-order properties of spatial paths using non-redundant manipulators, but only in special cases. This paper presents a novel methodology that enables the geometric tracking of a desired planar or spatial path to any order with any non-redundant regional manipulator. The governing first-order coordination equation for a spatial path-tracking problem is dev
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Xu, Bin, Danwei Wang, Chenguang Yang, Jing Li, and Shixing Wang. "Discrete flight path angle tracking control of hypersonic flight vehicles via multi-rate sampling." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334717.

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Cao, Xincheng, and Levent Guvenc. "Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2558.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Driver’s license examinations require the driver to perform either a parallel parking or a similar maneuver as part of the on-road evaluation of the driver’s skills. Self-driving vehicles that are allowed to operate on public roads without a driver should also be able to perform such tasks successfully. With this motivation, the S-shaped maneuverability test of the Ohio driver’s license examination is chosen here for automatic execution by a self-driving vehicle with drive-by-wire capability and longitudinal and lateral
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DeSantis, R. M. "Path-Tracking for a Carlike Mobile Robot." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792807.

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Reports on the topic "Path tracking control"

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McIntyre, M. L., W. E. Dixon, D. M. Dawson, and B. Xian. Adaptive Tracking Control of On-Line Path Planners: Velocity Fields and Navigation Functions. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada465704.

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Bell, Gary, Thomas Pokrefke, Cody Bryant, Cassandra Everett, and Cian Miller. Low-Sill Control Structure : physical modeling investigation—potential upstream dike fields. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49617.

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The model investigation reported herein describes the process to analyze the effects of proposed dikes in various locations upstream of the Low-Sill Control Structure (LSCS) using an existing 1:55 Froude-scaled physical model. The purpose of this effort was to utilize the physical model to explore potential configurations of river-training structures in the approach channel that would result in more uniform flow conditions at the structure. This analysis was conducted by constructing dikes out of both sandbags and rock. Each dike configuration was surveyed using lidar and then tested by collec
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