Littérature scientifique sur le sujet « Sideslip estimation »
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Articles de revues sur le sujet "Sideslip estimation"
Fan, Xiao Bin, et Pan Deng. « Study of Vehicle Sideslip Angle Real-Time Estimation Method ». Advanced Materials Research 846-847 (novembre 2013) : 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.
Texte intégralSingh, Kanwar Bharat. « Virtual sensor for real-time estimation of the vehicle sideslip angle ». Sensor Review 40, no 2 (29 juillet 2019) : 255–72. http://dx.doi.org/10.1108/sr-11-2018-0300.
Texte intégralChen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang et Xiaoqiang Sun. « Reliable Sideslip Angle Estimation of Four-Wheel Independent Drive Electric Vehicle by Information Iteration and Fusion ». Mathematical Problems in Engineering 2018 (2018) : 1–14. http://dx.doi.org/10.1155/2018/9075372.
Texte intégralWei, Wang, Bei Shaoyi, Zhang Lanchun, Zhu Kai, Wang Yongzhi et Hang Weixing. « Vehicle Sideslip Angle Estimation Based on General Regression Neural Network ». Mathematical Problems in Engineering 2016 (2016) : 1–7. http://dx.doi.org/10.1155/2016/3107910.
Texte intégralXia, Qiu, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, Te Chen et Guangxiang Pan. « Running States Estimation of Autonomous Four-Wheel Independent Drive Electric Vehicle by Virtual Longitudinal Force Sensors ». Mathematical Problems in Engineering 2019 (9 juin 2019) : 1–17. http://dx.doi.org/10.1155/2019/8302943.
Texte intégralSingh, Kanwar Bharat. « Vehicle Sideslip Angle Estimation Based on Tire Model Adaptation ». Electronics 8, no 2 (9 février 2019) : 199. http://dx.doi.org/10.3390/electronics8020199.
Texte intégralChen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang et Xiaoqiang Sun. « Sideslip Angle Fusion Estimation Method of an Autonomous Electric Vehicle Based on Robust Cubature Kalman Filter with Redundant Measurement Information ». World Electric Vehicle Journal 10, no 2 (30 mai 2019) : 34. http://dx.doi.org/10.3390/wevj10020034.
Texte intégralPopowski, Stanisław, et Witold Dąbrowski. « MEASUREMENT AND ESTIMATION OF THE ANGLE OF ATTACK AND THE ANGLE OF SIDESLIP ». Aviation 19, no 1 (30 mars 2015) : 19–24. http://dx.doi.org/10.3846/16487788.2015.1015293.
Texte intégralCHEN, Hui. « Review on Vehicle Sideslip Angle Estimation ». Journal of Mechanical Engineering 49, no 24 (2013) : 76. http://dx.doi.org/10.3901/jme.2013.24.076.
Texte intégralWang, Zhenpo, Jianyang Wu, Lei Zhang et Yachao Wang. « Vehicle sideslip angle estimation for a four-wheel-independent-drive electric vehicle based on a hybrid estimator and a moving polynomial Kalman smoother ». Proceedings of the Institution of Mechanical Engineers, Part K : Journal of Multi-body Dynamics 233, no 1 (24 avril 2018) : 125–40. http://dx.doi.org/10.1177/1464419318770923.
Texte intégralThèses sur le sujet "Sideslip estimation"
Alatorre, Vazquez Angel Gabriel. « Robust estimation of dynamics behavior and driving diagnosis applied to an intelligent MAGV ». Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2554.
Texte intégralThe context of this thesis is the improvement of road safety through the development of active safety systems. One challenge in the development of active safety systems is obtaining accurate information about unmeasurable vehicle dynamic states. Specifically, the necessity to estimate the vertical load, frictional forces at each wheel (longitudinal and lateral), and also the sideslip angle at the center of gravity. These states are the critical parameters for optimizing the control of a vehicle’s stability. If the vertical load on each tire can be estimated, then the risk of rollover can be evaluated. Estimating tire lateral forces can help to reduce lateral slip and prevent dangerous situations like spinning and drifting out the road. Tire longitudinal forces influence the performance of a vehicle. Sideslip angle is one of the essential parameters for controlling the lateral dynamics of a vehicle. However, the different technologies that the market offers, are not based on tire-ground forces due to the lack of cost-effective methods for obtaining the required information. For the above mentioned reasons, we want to develop a system that monitors these dynamic vehicle states using only low-cost sensors. To accomplish our endeavor, we propose developing novel observers to estimate unmeasured states. Constructing an observer that met the reliability, robustness and accuracy requirements is not an easy task. It requires one the one hand, accurate and efficient models, and on the other hand, robust estimation algorithms that take into account variations in parameters and measurement errors. The present thesis has consequently been structured around the following two aspects: modeling of vehicle dynamics, and design of observers. Under the heading of modeling, we propose new models to describe vehicle dynamics. Current models simplify the vehicle motion as a planar motion. In our proposal, our models describe vehicle motion as a 3D motion, including the effects of road inclination. Regarding vertical dynamics, we propose incorporating the suspension deflection to calculate the transfer of vertical load. Regarding lateral dynamics, we propose a model for the lateral forces transfer to describe the interaction between the left wheel and the right wheel. With this relationship, the lateral force on each tire is computed without using the sideslip angle. Similarly, for longitudinal dynamics, we also propose a model for the transfer of longitudinal forces to calculate the longitudinal force at each tire. Under the heading of observer design, we propose a novel observation system consisting of four individual observers connected in cascade. The four observers are developed for estimating vertical tire force, lateral tire force, longitudinal tire force, and sideslip angle, respectively. For the linear system, the Kalman filter is employed, while for the nonlinear system, the EKF applied to reduce estimation errors. Finally, we implement our algorithm in an experimental vehicle to perform estimation in real-time, and we validate our proposed algorithm using experimental data
Baffet, Guillaume. « Développement et validation expérimentale d’observateurs des forces du contact pneumatique/chaussée d’une automobile ». Compiègne, 2007. http://www.theses.fr/2007COMP1695.
Texte intégralEstimation of vehicle-dynamic variables is essential for safety enhancement, in particular for braking and trajectory-control systems. The aim of this thesis is to develop state observers for the estimation of variables linked to tire-road friction. Different estimation methods are proposed in order to reconstruct tire-road forces and vehicle sideslip angle. The estimation algorithms are constructed so as to be functional in critical driving situations, notably for weak lateral accelerations and road friction changes. In addition to estimation methods, this thesis presents a substantial number of observer evaluations, performed in simulations and in experiments. The estimation process was integrated in an experimental vehicle, and was tested in real time, particularly in relation to wheel force measurements
Chapitres de livres sur le sujet "Sideslip estimation"
Kwon, Baek-soon, et Kyongsu Yi. « Vehicle Sideslip Angle Estimation Using Disturbance Observer ». Dans Lecture Notes in Mechanical Engineering, 1584–92. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_181.
Texte intégralAntunes, André, Carlos Cardeira et Paulo Oliveira. « Application of Sideslip Estimation Architecture to a Formula Student Prototype ». Dans ROBOT 2017 : Third Iberian Robotics Conference, 409–21. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70836-2_34.
Texte intégralYang, Guibing, Chunguang Liu et Dingzhe Qin. « Estimation of Electric Drive Vehicle Sideslip Angle Based on EKF ». Dans Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, 695–702. Berlin, Heidelberg : Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49367-0_67.
Texte intégralPieralice, Cristiano, Basilio Lenzo, Francesco Bucchi et Marco Gabiccini. « Vehicle Sideslip Angle Estimation Using Kalman Filters : Modelling and Validation ». Dans Mechanisms and Machine Science, 114–22. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03320-0_12.
Texte intégralCheli, F., D. Ivone et E. Sabbioni. « Smart Tyre Induced Benefits in Sideslip Angle and Friction Coefficient Estimation ». Dans Sensors and Instrumentation, Volume 5, 73–83. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15212-7_9.
Texte intégralGai, Jiangtao, Yue Ma, Xuzhao Hou, Gen Zeng et Shumin Ruan. « Research on Sideslip Angle Estimation and Prediction for Electric Tracked Vehicle ». Dans Lecture Notes in Electrical Engineering, 576–83. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6226-4_57.
Texte intégralLenzo, Basilio, et Ricardo De Castro. « Vehicle Sideslip Estimation for Four-Wheel-Steering Vehicles Using a Particle Filter ». Dans Lecture Notes in Mechanical Engineering, 1624–34. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_185.
Texte intégralMilanese, Mario, C. Novara et I. Gerlero. « Robust estimation of vehicle sideslip angle from variables measured by ESC system ». Dans Proceedings, 1063–76. Wiesbaden : Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08844-6_72.
Texte intégralXu, Fan, Hui Chen, Xiang Wang et Junxi Xiong. « Estimation of Sideslip Angle with Tire-Road Friction Adaptation Using Nonlinear Observability Theory ». Dans Proceedings of China SAE Congress 2020 : Selected Papers, 627–53. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2090-4_38.
Texte intégralLing, Jie, Hui Chen et Fan Xu. « Estimation of Vehicle Sideslip Angle with Adaptation to Road Bank Angle and Roll Angle ». Dans Lecture Notes in Electrical Engineering, 403–10. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45043-7_41.
Texte intégralActes de conférences sur le sujet "Sideslip estimation"
Huang, Jihua. « Vehicle State Estimation for Rollover Avoidance ». Dans ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66730.
Texte intégralZha, Jingqiang, Junmin Wang, Min Li, Xin Zhang et Xiao Yu. « Structured Robust Linear Parameter-Varying Vehicle Sideslip Angle Estimation ». Dans ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9021.
Texte intégralHuang, Xiaoyu, et Junmin Wang. « Robust Sideslip Angle Estimation for Lightweight Vehicles Using Smooth Variable Structure Filter ». Dans ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3775.
Texte intégralBotha, Theunis R., et Pieter S. Els. « Vehicle Sideslip Estimation Using Unscented Kalman Filter, AHRS and GPS ». Dans ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70875.
Texte intégralLiu, Wei, Lu Xiong, Xin Xia et Zhuoping Yu. « Vehicle Sideslip Angle Estimation : A Review ». Dans WCX World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States : SAE International, 2018. http://dx.doi.org/10.4271/2018-01-0569.
Texte intégralCarlos Daniel Reyes Bautista, Pablo Siqueira Meirelles et Olmer Garcia Bedoya. « SIDESLIP ANGLE ESTIMATION FOR GROUND VEHICLES ». Dans 23rd ABCM International Congress of Mechanical Engineering. Rio de Janeiro, Brazil : ABCM Brazilian Society of Mechanical Sciences and Engineering, 2015. http://dx.doi.org/10.20906/cps/cob-2015-2715.
Texte intégralRyu, Jihan, Flavio Nardi et Nikolai Moshchuk. « Vehicle Sideslip Angle Estimation and Experimental Validation ». Dans ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64466.
Texte intégralPanzani, Giulio, Matteo Corno, Mara Tanelli, Sergio M. Savaresi, Andrea Fortina et Sebastiano Campo. « Control-Oriented Vehicle Attitude Estimation With Online Sensors Bias Compensation ». Dans ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2531.
Texte intégralKunnappillil Madhusudhanan, Anil, Matteo Corno et Edward Holweg. « Vehicle sideslip estimation using tyre force measurements ». Dans 2015 23th Mediterranean Conference on Control and Automation (MED). IEEE, 2015. http://dx.doi.org/10.1109/med.2015.7158734.
Texte intégralYoon, Jong-Hwa, et Huei Peng. « Vehicle Sideslip Angle Estimation Using Two Single-Antenna GPS Receivers ». Dans ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4249.
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