Academic literature on the topic 'Sideslip estimation'
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Journal articles on the topic "Sideslip estimation"
Fan, Xiao Bin, and Pan Deng. "Study of Vehicle Sideslip Angle Real-Time Estimation Method." Advanced Materials Research 846-847 (November 2013): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.
Full textSingh, Kanwar Bharat. "Virtual sensor for real-time estimation of the vehicle sideslip angle." Sensor Review 40, no. 2 (July 29, 2019): 255–72. http://dx.doi.org/10.1108/sr-11-2018-0300.
Full textChen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and 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.
Full textWei, Wang, Bei Shaoyi, Zhang Lanchun, Zhu Kai, Wang Yongzhi, and 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.
Full textXia, Qiu, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, Te Chen, and Guangxiang Pan. "Running States Estimation of Autonomous Four-Wheel Independent Drive Electric Vehicle by Virtual Longitudinal Force Sensors." Mathematical Problems in Engineering 2019 (June 9, 2019): 1–17. http://dx.doi.org/10.1155/2019/8302943.
Full textSingh, Kanwar Bharat. "Vehicle Sideslip Angle Estimation Based on Tire Model Adaptation." Electronics 8, no. 2 (February 9, 2019): 199. http://dx.doi.org/10.3390/electronics8020199.
Full textChen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and 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 (May 30, 2019): 34. http://dx.doi.org/10.3390/wevj10020034.
Full textPopowski, Stanisław, and Witold Dąbrowski. "MEASUREMENT AND ESTIMATION OF THE ANGLE OF ATTACK AND THE ANGLE OF SIDESLIP." Aviation 19, no. 1 (March 30, 2015): 19–24. http://dx.doi.org/10.3846/16487788.2015.1015293.
Full textCHEN, 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.
Full textWang, Zhenpo, Jianyang Wu, Lei Zhang, and 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 (April 24, 2018): 125–40. http://dx.doi.org/10.1177/1464419318770923.
Full textDissertations / Theses on the topic "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.
Full textThe 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.
Full textEstimation 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
Book chapters on the topic "Sideslip estimation"
Kwon, Baek-soon, and Kyongsu Yi. "Vehicle Sideslip Angle Estimation Using Disturbance Observer." In Lecture Notes in Mechanical Engineering, 1584–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_181.
Full textAntunes, André, Carlos Cardeira, and Paulo Oliveira. "Application of Sideslip Estimation Architecture to a Formula Student Prototype." In 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.
Full textYang, Guibing, Chunguang Liu, and Dingzhe Qin. "Estimation of Electric Drive Vehicle Sideslip Angle Based on EKF." In 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.
Full textPieralice, Cristiano, Basilio Lenzo, Francesco Bucchi, and Marco Gabiccini. "Vehicle Sideslip Angle Estimation Using Kalman Filters: Modelling and Validation." In Mechanisms and Machine Science, 114–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03320-0_12.
Full textCheli, F., D. Ivone, and E. Sabbioni. "Smart Tyre Induced Benefits in Sideslip Angle and Friction Coefficient Estimation." In Sensors and Instrumentation, Volume 5, 73–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15212-7_9.
Full textGai, Jiangtao, Yue Ma, Xuzhao Hou, Gen Zeng, and Shumin Ruan. "Research on Sideslip Angle Estimation and Prediction for Electric Tracked Vehicle." In Lecture Notes in Electrical Engineering, 576–83. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6226-4_57.
Full textLenzo, Basilio, and Ricardo De Castro. "Vehicle Sideslip Estimation for Four-Wheel-Steering Vehicles Using a Particle Filter." In Lecture Notes in Mechanical Engineering, 1624–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_185.
Full textMilanese, Mario, C. Novara, and I. Gerlero. "Robust estimation of vehicle sideslip angle from variables measured by ESC system." In Proceedings, 1063–76. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08844-6_72.
Full textXu, Fan, Hui Chen, Xiang Wang, and Junxi Xiong. "Estimation of Sideslip Angle with Tire-Road Friction Adaptation Using Nonlinear Observability Theory." In 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.
Full textLing, Jie, Hui Chen, and Fan Xu. "Estimation of Vehicle Sideslip Angle with Adaptation to Road Bank Angle and Roll Angle." In 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.
Full textConference papers on the topic "Sideslip estimation"
Huang, Jihua. "Vehicle State Estimation for Rollover Avoidance." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66730.
Full textZha, Jingqiang, Junmin Wang, Min Li, Xin Zhang, and Xiao Yu. "Structured Robust Linear Parameter-Varying Vehicle Sideslip Angle Estimation." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9021.
Full textHuang, Xiaoyu, and Junmin Wang. "Robust Sideslip Angle Estimation for Lightweight Vehicles Using Smooth Variable Structure Filter." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3775.
Full textBotha, Theunis R., and Pieter S. Els. "Vehicle Sideslip Estimation Using Unscented Kalman Filter, AHRS and GPS." In 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.
Full textLiu, Wei, Lu Xiong, Xin Xia, and Zhuoping Yu. "Vehicle Sideslip Angle Estimation: A Review." In WCX World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-0569.
Full textCarlos Daniel Reyes Bautista, Pablo Siqueira Meirelles, and Olmer Garcia Bedoya. "SIDESLIP ANGLE ESTIMATION FOR GROUND VEHICLES." In 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.
Full textRyu, Jihan, Flavio Nardi, and Nikolai Moshchuk. "Vehicle Sideslip Angle Estimation and Experimental Validation." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64466.
Full textPanzani, Giulio, Matteo Corno, Mara Tanelli, Sergio M. Savaresi, Andrea Fortina, and Sebastiano Campo. "Control-Oriented Vehicle Attitude Estimation With Online Sensors Bias Compensation." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2531.
Full textKunnappillil Madhusudhanan, Anil, Matteo Corno, and Edward Holweg. "Vehicle sideslip estimation using tyre force measurements." In 2015 23th Mediterranean Conference on Control and Automation (MED). IEEE, 2015. http://dx.doi.org/10.1109/med.2015.7158734.
Full textYoon, Jong-Hwa, and Huei Peng. "Vehicle Sideslip Angle Estimation Using Two Single-Antenna GPS Receivers." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4249.
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