Relevant bibliographies by topics / Traction control

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Traction control'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Traction control"

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Gau, Ally. "Traction Control." Equine Health 2012, no. 8 (November 12, 2012): 18–22. http://dx.doi.org/10.12968/eqhe.2012.1.8.18.

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Md-Tahir, Hafiz, Jumin Zhang, Junfang Xia, Yong Zhou, Hua Zhou, Jun Du, Muhammad Sultan, and Hafiza Mamona. "Experimental Investigation of Traction Power Transfer Indices of Farm-Tractors for Efficient Energy Utilization in Soil Tillage and Cultivation Operations." Agronomy 11, no. 1 (January 17, 2021): 168. http://dx.doi.org/10.3390/agronomy11010168.

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Farm tractors in cultivation consume a big amount of fossil fuels and emit greenhouse gases to the atmosphere. Improving traction performance and power transfer indices of wheeled tractors and field terrain soil with higher traction (pull ability) at optimal travel reduction (TR) can optimize energy utilization. This study compares the traction performance, fuel consumption, and field productivity, of a farm tractor equipped with a new drive wheel “rigid lugged wheel (RLW)” and conventional tire wheel (CTW) in field tillage operations. Tractor with RLW resulted 24.6 kN drawbar pull and 6.6 km.h−1 travel speed at 80% tractive efficiency and 15.6% TR. While with CTW, the drawbar pull and the travel speed were 23.2 kN and 6.0 km h−1 respectively at 68% tractive efficiency and 36.3% TR. The RLW resulted in improved traction performance with similar equipment weight. Tractor with RLW also resulted 220.5% lower TR, 14.8% higher field productivity, and 15.4% lower fuel consumption. RLW can control equipment weight and field traffic intensity with the improved traction performance of wheeled tractors and will make the field operations more energy-efficient and economical. For enhanced field drivability of RLW, further work is required to test for diverse field conditions and differently sized tractors.
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Abu-Hamdeh, Nidal H., and Hamid F. Al-Jalil. "Computer simulation of stability and control of tractor-trailed implement combinations under different operating conditions." Bragantia 63, no. 1 (2004): 149–62. http://dx.doi.org/10.1590/s0006-87052004000100015.

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The mechanics of a tractor-trailer system moving up and down sloping ground under different operating conditions was theoretically simulated. A computer program was developed to analyze the system to predict the effect of both the trailer loading weight and the slope angle on the tractor stability, traction ability, and drawbar loading. The program was used to analyze a tractor-trailer system moving at uniform motion up and downhill. The results of this analysis showed that the tractor becomes unstable when towing a 3750 kg trailer uphill at 28° slope angle. Insufficient traction occurred at slope angles ranging from 15° to 18° corresponding to trailer weight of 3750 to 750 kg. The parallel component of drawbar pull reached a maximum value of 17318 N when the trailer was pushing the tractor downhill at 30° slope angle. The normal component (normal to the tractive surface) showed similar maximum values for both uphill and downhill motions of the system. The use of computer analysis in this study provided a significant improvement in predicting the effect of different parameters on stability and control of tractor-trailer combination on sloping ground.
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TANAKA, Tadao, and Keiji ISODA. "Traction Control System." JSME international journal. Ser. 3, Vibration, control engineering, engineering for industry 35, no. 1 (1992): 116–20. http://dx.doi.org/10.1299/jsmec1988.35.116.

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TANAKA, Tadao, and Keiji ISODA. "Traction control system." Transactions of the Japan Society of Mechanical Engineers Series C 57, no. 534 (1991): 614–18. http://dx.doi.org/10.1299/kikaic.57.614.

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Nakatani, Fumihiko, Shigeyuki Morita, and Takeshi Takiyama. "Adaptive Traction Control." Transactions of the Japan Society of Mechanical Engineers Series C 60, no. 580 (1994): 4190–94. http://dx.doi.org/10.1299/kikaic.60.4190.

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Savos’kin, A. N., and N. D. Shilin. "Analysis of wheel pairs slip control of electric freight locomotive with asynchronous traction motors." RUSSIAN RAILWAY SCIENCE JOURNAL 81, no. 3 (September 6, 2022): 230–39. http://dx.doi.org/10.21780/2223-9731-2022-81-3-230-239.

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Introduction. Every year, the amount of electric rolling stock with asynchronous traction motors is continuously increasing on the Russian railway network, since such traction drives have a number of advantages over drives with DC motors. One of the problems associated with the introduction of asynchronous motors and an increase in the mass of trains is the implementation of the maximum traction force by an electric locomotive at the threshold in terms of wheel – rail adhesion. Timely recognition of excessive slip of wheel pairs is the most important indicator of the efficiency of the traction drive in realising the maximum traction properties of the electric locomotive at all axles.Materials and methods. The article reflects the results of the study of slip of electric locomotive wheel pairs with asynchronous traction motors and axial control of the traction force, obtained during experimental runs on a railway section under various adhesion conditions. The article presents a technique for studying the wheel pair adhesion failure of electric locomotives with asynchronous traction motors.Results. During the comparison of the obtained experimental results with the calculated parameters by the O. Polach mathematical model, an updated range of the relative slip of wheel pairs is given, in which the electric locomotive control system could realise the maximum tractive effort. Exceeding this range will lead to increased wear of wheel pairs without increasing traction properties.Discussion and conclusion. It is advisable to use the results of the study in the future when developing systems for controlling the tractive effort at the limit of adhesion and systems for controlling the slip of wheel pairs of electric freight locomotives with asynchronous traction motors.
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Gorodetskiy, K. I., V. V. Serebryakov, and A. M. Lavlinskiy. "Determination of traction coefficient of driving wheels of the MTZ-82 tractor." Traktory i sel hozmashiny 83, no. 12 (December 15, 2016): 16–18. http://dx.doi.org/10.17816/0321-4443-66249.

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There are various ways to control the value of normal responses of surface under tractor movers. One of them is to regulate the height of hitch point and the angle of drawbar power. The advantage of this method is that the necessary conditions are created for the automatic control of position of the center of pressure, which ensures the optimization of technical and economic indices of machine-tractor unit operation. To verify this method, it is necessary to carry out the tests determining the parameters of tractor operation, including the traction coefficient of driving wheels. Two variants of its determination are proposed: the towing of tractor with locked driving wheels and the drawbar tests. In both cases, the tractive effort at drawbar is applied at an angle. As a result of drawbar tests, an experimental tractive characteristic of tractor will also be obtained. In preliminary calculations, the weight distribution along the axes is determined depending on the value and the angle of drawbar power. The weight change on the rear axle is more intense than on the front one. It is necessary to use ballast weights on the tractor rear to compensate its unloading. As for tractors and agricultural implements under design, it is necessary to choose the rational component layout and design taking into account the weight redistribution during aggregation. The pre-calculated verification confirms the possibility of use of tractor towing in reverse gear with locked wheels to determine the traction coefficient of driving wheels. The applying of drawbar power at an angle allows to increase or decrease the responses of bearing surface on tractor movers during a particular operation and therefore has an advantage over conventional ballasting at the front of tractor. In combination with the ability to change the back tipping moment, this allows to optimize the traction characteristics of tractors.
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Liudvinavičius, Lionginas, Leonas Povilas Lingaitis, Stasys Dailydka, and Virgilijus Jastremskas. "THE ASPECT OF VECTOR CONTROL USING THE ASYNCHRONOUS TRACTION MOTOR IN LOCOMOTIVES." TRANSPORT 24, no. 4 (December 31, 2009): 318–24. http://dx.doi.org/10.3846/1648-4142.2009.24.318-324.

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The article examines curves controlling asynchronous traction motors increasingly used in locomotive electric drives the main task of which is to create a tractive effort‐speed curve of an ideal locomotive Fk = f(v), including a hyperbolic area the curve of which will create conditions showing that energy created by the diesel engine of diesel locomotives (electric locomotives and in case of electric trains, electricity taken from the contact network) over the entire range of locomotive speed is turned into efficient work. Mechanical power on wheel sets is constant Pk = Fkv = const, the power of the diesel engine is fully used over the entire range of locomotive speed. Tractive effort‐speed curve Fk(v) shows the dependency of locomotive traction power Fk on movement speed v. The article presents theoretical and practical aspects relevant to creating the structure of locomotive electric drive and selecting optimal control that is especially relevant to creating the structure of locomotive electric drive using ATM (asynchronous traction motor) that gains special popularity in traction rolling stock replacing DC traction motors having low reliability. __e frequency modes of asynchronous motor speed regulation are examined. To control ATM, the authors suggest the method of vector control presenting the structural schemes of a locomotive with ATM and control algorithm.
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Antoshchenkov, Roman, Ivan Halych, Аnton Nykyforov, Halyna Cherevatenko, Ivan Chyzhykov, Serhii Sushko, Nataliia Ponomarenko, Sergey Diundik, and Ivan Tsebriuk. "Determining the influence of geometric parameters of the traction-transportation vehicle's frame on its tractive capacity and energy indicators." Eastern-European Journal of Enterprise Technologies 2, no. 7 (116) (April 28, 2022): 60–67. http://dx.doi.org/10.15587/1729-4061.2022.254688.

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This paper reports results of studying the influence of geometrical parameters of the frame in a traction-transportation vehicle on its traction and energy indicators. A method for estimating the influence of geometrical parameters of the frame in a traction-transportation vehicle on its traction and energy indicators has been substantiated, based on the traction calculation of the tractor and taking into consideration the change in the distance from the hinge of the traction-transportation vehicle to the front and rear drive axles. The method makes it possible to determine the normal reactions, tangent thrust forces, and traction power on the wheels of the machine. The method reported here enables defining the optimal geometric parameters for improving the traction-adhesion and fuel-economic indicators of the traction-transportation vehicle. It was theoretically established that the normal reactions on the front wheels of the studied traction-transportation vehicle are 27,800 N and exceed by 1.95 times the normal reactions on the rear wheels of 14,200 N. This is due to the fact that the distance from the hinge to the corresponding axles of the wheels is 1.89 m and 0.97 m. Increasing the distance from the hinge to the axle of the rear wheels to 1.17 m produces a positive effect on improving the tractive performance of the traction-transportation vehicle. There is an increase in the tractive power on rear wheels to 24.39 kW. The experimental study of the traction-transportation vehicle was performed using an all-wheel-drive machine with a hinge-connected frame as an example. The maximum traction power is 121 kW, which is achieved at a speed of 12 km/h, traction efficiency of 0.68, and a thrust force per hook of 30.2 kN. The difference between the results obtained theoretically and experimentally is 8 %. Applying the method could make it possible to provide designers and manufacturers with recommendations for the construction and improvement of a traction-transportation vehicle, to improve traction and adhesion properties, and reduce the anthropogenic impact on the soil
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Dissertations / Theses on the topic "Traction control"

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Kirchner, William. "Anthropomimetic Control Synthesis: Adaptive Vehicle Traction Control." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26620.

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Human expert drivers have the unique ability to build complex perceptive models using correlated sensory inputs and outputs. In the case of longitudinal vehicle traction, this work will show a direct correlation in longitudinal acceleration to throttle input in a controlled laboratory environment. In fact, human experts have the ability to control a vehicle at or near the performance limits, with respect to vehicle traction, without direct knowledge of the vehicle states; speed, slip or tractive force. Traditional algorithms such as PID, full state feedback, and even sliding mode control have been very successful at handling low level tasks where the physics of the dynamic system are known and stationary. The ability to learn and adapt to changing environmental conditions, as well as develop perceptive models based on stimulus-response data, provides expert human drivers with significant advantages. When it comes to bandwidth, accuracy, and repeatability, automatic control systems have clear advantages over humans; however, most high performance control systems lack many of the unique abilities of a human expert. The underlying motivation for this work is that there are advantages to framing the traction control problem in a manner that more closely resembles how a human expert drives a vehicle. The fundamental idea is the belief that humans have a unique ability to adapt to uncertain environments that are both temporal and spatially varying. In this work, a novel approach to traction control is developed using an anthropomimetic control synthesis strategy. The proposed anthropomimetic traction control algorithm operates on the same correlated input signals that a human expert driver would in order to maximize traction. A gradient ascent approach is at the heart of the proposed anthropomimetic control algorithm, and a real-time implementation is described using linear operator techniques, even though the tire-ground interface is highly non-linear. Performance of the proposed anthropomimetic traction control algorithm is demonstrated using both a longitudinal traction case study and a combined mode traction case study, in which longitudinal and lateral accelerations are maximized simultaneously. The approach presented in this research should be considered as a first step in the development of a truly anthropomimetic solution, where an advanced control algorithm has been designed to be responsive to the same limited input signals that a human expert would rely on, with the objective of maximizing traction. This work establishes the foundation for a general framework for an anthropomimetic control algorithm that is capable of learning and adapting to an uncertain, time varying environment. The algorithms developed in this work are well suited for efficient real time control in ground vehicles in a variety of applications from a driver assist technology to fully autonomous applications.
Ph. D.
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Zetterqvist, Carin. "Powertrain modelling and control algorithms for traction control." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10048.

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För att ett fordon ska kunna bromsa, accelerera och svänga är friktion mellan däcken och vägen ett måste. Vid för mycket gaspådrag under en acceleration kan det hända att hjulen förlorar fäste och börjar spinna loss, något som leder till både försämrad kontroll över fordonet och att däcken slits ut i förtid. Traction controlsystemet förhindrar hjulen från att spinna loss och försöker maximera friktionen.

Målet med detta examensarbete är att utvärdera olika reglerprinciper samt att undersöka olika möjligheter för att reglera friktionen mellan däck och väg. Det är ett svårt reglerproblem, dels på grund av dess olinjäritet, dels på grund av det faktum att friktionen är en okänd parameter.

För att kunna undersöka olika reglermöjligheter har en modell över hjuldynamiken och en modell över drivlinan tagits fram i Matlabs simuleringsprogram Simulink. Därutöver har tre regulatorer designats: en fuzzy-regulator, en fuzzy-P-regulator och en PI-regulator. Regulatorerna utvärderades i tre tester som bland annat testade deras robusthet.

Fuzzy-regulatorn och fuzzy-P-regulatorn lyckades reglera systemet bra. PI-regulatorn gjorde däremot inte ett tillfredsställande jobb, mest på grund av dess behov av ett börvärde.


Traction is necessary for a vehicle to be able to brake, accelerate and turn. When pushing the accelerator pedal too hard during an acceleration, the wheel can loose traction and start spinning, which leads to a worsen vehicle control and also wears out the tyres faster. The traction control system prevents the wheels from spinning and tries to make the tyres maintain maximum traction.

The purpose of this master’s thesis is to evaluate different control methods and to investigate possible ways to control the traction. This is a difficult control problem due to its nonlinearity and the fact that the friction is an unknown parameter.

For the investigation, a model of the wheel dynamics and a model of the powertrain have been developed in Matlab’s simulation program Simulink. Furthermore, three different controllers have been designed; a fuzzy controller, a fuzzy-P controller and a PI controller. The controllers were evaluated in three test cycles that among others tested their robustness.

The fuzzy controller and the fuzzy-P controller managed to control the system very well. The PI controller, however, did not work satisfactory, mainly because of its need of a desired value.

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Collin, Felix. "Traction Control for KTH Formula Student." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276683.

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When accelerating, traction from the tyres is necessary to move the vehicle forward. If too much torque is applied to the wheels of the vehicle, the tyres will start to spin and thereby the traction will decrease. This can occur when the driver of the vehicle applies to much throttle, but can be controlled with a traction control system that prevent the tyres from spinning and keeps the tyres at maximum traction to increase acceleration. In Formula Student competitions, every tenths of a second gained is vital and a traction control could help the driver to find these tenths of a second during acceleration. The purpose of this bachelor thesis was to design a slip ratio based traction control for the KTH Formula Student car DeV17 with focus on the acceleration event from standing start. A problem with standing start is the launch of the acceleration which were investigated along with a PID-controller. The model was developed in MATLAB's SIMULINK and simulated with IPG CarMaker. Small improvements in acceleration time were seen with the PID-controller but the launch did not see any improvements.
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Yu, Jianhua. "Re-adhesion control for railway traction systems." Thesis, University of Leeds, 2007. http://etheses.whiterose.ac.uk/11278/.

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Slip is a harmful phenomenon in railway. It causes the wear of wheel rail contact surface and mechanical stress of the traction system. Moreover, it may affect the stability of the whole system. The study is concerned with the development of a novel slip detection and re-adhesion control using practical position encoder. In detail, this thesis presents a powered wheelset system driven by an induction motor associated with vector control unit The ~heelset models developed from the study include a comprehensive model which involves longitudinal, lateral and yaw dynamics, a distributed parameter model and a. lumped parameter model with simplified longitudinal dynamics. The dynamics of a wheelset is ~tudied and compared in normal conditions and slip conditions. Simulation results show typical torsional vibration occurs when slip happens. Two possible approaches of slip detection based on the vibration phenomenon are discussed. The first one monitors the torsional torque to detect the slip based on the direct torsional torque measurement In the second approach, a Kalman filter based slip detection method is-presented and evaluated in different operation conditions. Finally a re-adhesion control scheme is developed based on the Kalman filter. The effectiveness of this approach is demonstrated using comprehensive computer simulations.
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Dabhi, Meet, and Karthik Ramanan Vaidyanathan. "Automation and synchronizationof traction assistance devices toimprove traction and steerability ofa construction truck." Thesis, KTH, Fordonsdynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209198.

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Automotive development has always been need-based and the product of today is an evolutionover several decades and a diversied technology application to deliver better products to theend users. Steady increase in the deployment of on-board electronics and software is characterizedby the demand and stringent regulations. Today, almost every function on-board a modernvehicle is either monitored or controlled electronically.One such specic demand for AB Volvo arose out of construction trucks in the US market. Usersseldom have/had a view of the operational boundaries of the drivetrain components, resultingin inappropriate use causing damage, poor traction and steering performance. Also, AB Volvo'sstand-alone traction assistance functions were not suciently capable to handle the vehicle useconditions. Hence, the goal was set to automate and synchronize the traction assistance devicesand software functions to improve the traction and steerability under a variety of road conditions.The rst steps in this thesis involved understanding the drivetrain components from design andoperational boundary perspective. The function descriptions of the various traction softwarefunctions were reviewed and a development/integration plan drafted. A literature survey wascarried out seeking potential improvement in traction from dierential locking and also its eectson steerability. A benchmarking exercise was carried out to identify competitor and suppliertechnologies available for the traction device automation task.The focus was then shifted to developing and validating the traction controller in a simulationenvironment. Importance was given to modeling of drivetrain components and renement ofvehicle behavior to study and understand the eects of dierential locking and develop a differentiallock control strategy. The modeling also included creating dierent road segments toreplicate use environment and simulating vehicle performance in the same, to reduce test timeand costs. With well-correlated vehicle performance results, a dierential lock control strategywas developed and simulated to observe traction improvement. It was then implemented onan all-wheel drive construction truck using dSPACE Autobox to test, validate and rene thecontroller.Periodic test sessions carried out at Hallered proving ground, Sweden were important to re-ne the control strategy. Feedback from test drivers and inputs from cross-functional teamswere essential to develop a robust controller and the same was tested for vehicle suitability andrepeatability of results. When comparing with the existing traction software functions, the integrateddierential lock and transfer case lock controller showed signicantly better performanceunder most test conditions. Repeatable results proved the reliability of developed controller.The correlation between vehicle test scenarios and simulation environment results indicated theaccuracy of software models and control strategy, bi-directionally.Finally, the new traction assistance device controller function was demonstrated within ABVolvo to showcase the traction improvement and uncompromising steerability.
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Ishrat, Tajrin. "Slip control for trains using induction motor drive." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/199908/1/Tajrin_Ishrat_Thesis.pdf.

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This research is a railway industry related project, which is concerned with finding improvements in railway traction and wheel slip control in electric drives. A new approach was developed to detect the unknown and immeasurable rail surface. And a novel identification scheme was used to identify the best operating friction level. A new switching controller was operated by the induction motor controller under all possible train operating conditions. Aspects of the study were validated in the laboratory experiment. By exploring the in-rail track condition detection, the best drive torque and desired slip in the railway field were identified.
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SILVA, ALEXANDRE FRANCISCO BARRAL. "TRACTION CONTROL TO MOBILE ROBOTIC SYSTEMS IN ROUGH TERRAIN." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11030@1.

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AGÊNCIA NACIONAL DE PETRÓLEO
Em terrenos acidentados é crítico para robôs móveis manter uma adequada tração nas rodas, pois um excessivo deslizamento das mesmas pode fazer o robô capotar ou desviar da rota desejada. Também, se uma força excessiva é aplicada sobre uma região do terreno, pode levar o mesmo a ceder deixando as rodas presas. Para se evitar os problemas acima citados e ainda otimizar o consumo de energia em terrenos planos, a presente dissertação desenvolveu um controle de tração para terrenos acidentados com o intuito de aplicá- lo ao Robô Ambiental Híbrido (RAH) da Petrobrás. O RAH é um robô móvel anfíbio que está em fase de desenvolvimento no Laboratório de Robótica do CENPES (Petrobras), que poderá ser comandado por um operador ou se deslocar autonomamente. Esse robô faz parte do projeto Cognitus, braço tecnológico do projeto Piatam (Potenciais Impactos e Riscos Ambientais da Indústria de Óleo e Gás na Amazônia), e será aplicado na monitoração e coleta de dados do meio ambiente de dois gasodutos da Petrobrás na região Amazônica, o gasoduto Urucu (AM)- Porto Velho (RO) e o gasoduto Coari (AM) - Manaus (AM). A técnica de controle de tração de veículos robóticos em terrenos acidentados desenvolvida visa controlar a velocidade ao mesmo tempo em que garante a estabilidade dinâmica, não deslizamento das rodas, evita a saturação dos motores, e em certas condições ainda permite minimizar a potência requerida através do conhecimento dos ângulos de contato entre as rodas e o terreno. Foram feitas duas modelagens independentes, uma considerando a suspensão do robô flexível e a outra considerando o veículo robótico como um corpo rígido, sendo ambas para o caso plano (2D).Foram realizadas simulações em terrenos suaves e acidentados, as quais comprovaram a eficácia das técnicas de controle propostas.
Abstract Silva, Alexandre F. Barral Silva; Meggiolaro, Marco Antonio. Traction Control to Mobile Robotic Systems in Rough Terrain. Rio de Janeiro, 2004. 194 p. MSc. Thesis - Departamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro. In rough terrain it is critical for mobile robots to maintain adequate wheel traction, because excessive sliding could cause the robot to roll over or deviate from its intended path. Also, if an excessive force is applied onto the terrain, the soil may fail and trap the robot wheels. To avoid these problems, and also minimize the power consumption on even terrain, the present work develops a rough terrain traction control to be applied to the Hybrid Environmental Robot (HER) from Petrobras. The HER is an amphibious mobile robot developed by the Robotics Laboratory from CENPES (Petrobras). It can be commanded by an operator or autonomously. This robot is part of the Cognitus Project, technological branch of the Piatam project (Potential Impacts and Environmental Risks of the Oil and Gas Industry in the Amazon). It will be used for monitoring and environmental data collecting along two gas pipelines in the Amazon region, the Urucu (AM) - Porto Velho (RO) and the Coari (AM) - Manaus (AM). The developed traction control of robotic vehicles in rough terrain aims to control the speed at the same time that it guarantees dynamic stability, no slip of the wheels, prevents motor saturation, and under certain conditions it may also allow for the minimization of the required power. This control needs the knowledge of the current state of the robot, including the contact angles between its wheels and the terrain. Two independent 2D models have been proposed, one including the suspension compliance and one considering the robotic vehicle as a rigid body. Simulations have been performed in even and rough terrains, proving the effectiveness of the proposed control techniques.
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Ewin, Nathan. "Traction control for electric vehicles with independently driven wheels." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:dfc99786-fe17-4225-bd91-3ab83416981f.

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The necessity to reduce climate related emissions is driving the electrication of transportation. As well as reducing emissions Electric Vehicles (EV) have the capability of improving traction and vehicle stability. Unlike a conventional vehicle that uses a single Internal Combustion Engine (ICE) to drive one or both axles, an EV can have an electric machine driving each of the wheels independently. This opens up the possibility of using the electric machines as an actuator for traction control. In conventional vehicles the hydraulic brakes together with the ICE are used to actuate traction control. The advantages of electric machines over hydraulic brakes are precise measurable torque, higher bandwidth, bidirectional torque and kinetic energy recovery. A review of the literature shows that a wide range of control methods is used for traction control of EVs. These are mainly focused on control of an individual wheel, with only a minority being advanced to the experimental stage of verication. Integrated approaches to the control of multiple wheels are generally lacking, as well as verication that tests the vehicle's directional stability. A large body of the literature uses the slip ratio of the wheel as the key control variable. A signicant challenge for slip-based traction control is the detection of vehicle velocity together with the calculation of slip around zero vehicle velocity. A traction control method that does not depend upon vehicle velocity detection or slip ratio is Maximum Transmissible Torque Estimation (MTTE), after Yin et al. (2009). In this thesis an MTTE based method is developed for a full size electric vehicle with independently driven rear wheels. The original MTTE method for a single wheel is analysed using a simple quarter vehicle model. The simulation results of Yin et al. (2009) are in general reproducible although a lack of data in the original research prevents a quantitative comparison. A modication is proposed to the rate compensation term. Simulation results show that the proposed modication ensures that the torque demand is delivered to the wheel under normal driving conditions, this includes negative torque demand which is not possible for MTTE, Yin et al. (2009). Enabling negative torque demands means that the proposed traction control is compatible with higher level stability control such as torque vectoring. The performance of the controller is veried through a combination of simulation and vehicle based experiments. Compared with experiments, simulations are fast and inexpensive and can provide greater insight as all of the variables are observable. To simulate the controller a high delity vehicle model is required. To achieve this it is necessary to initially validate the model against experimental data. Simulation verication using a validated vehicle model is lacking in the literature. A full vehicle model is developed for this thesis using Dymola, a multi-body system software tool. The model includes the full suspension geometry of the vehicle. Pacejka's "Magic Formula" is used for the tyre model. The model is validated using Delta Motorsport's E4 coupe. The two Wheel Independent Drive (2WID) MTTE-based traction controller is derived from the equations of motion for the vehicle. This shows that the maximum transmissible torque for one driven wheel is dependent on the friction force of both driven wheels, which has not been shown before. An equal torque strategy is proposed to maintain vehicle directional stability on mixed-μ roads. For verication the 2WID-MTTE controller is simulated on the validated vehicle model described above. The proposed 2WID-MTTE controller is benchmarked against a similar method without the equal torque strategy, termed Independent MTTE, as well as a method combining Direct Yaw Control (DYC) and Independent MTTE. The three controllers are simulated for a vehicle accelerating onto a split-μ road. The results show that the proposed 2WID-MTTE controller prevents the vehicle spinning o the road when compared to Independent MTTE. 2WID-MTTE is found to be as eective as DYC+Independent MTTE but is simpler in design and requires fewer sensors. The proposed 2WID-MTTE controller is also simulated for a vehicle accelerating from a low- to high-μ road. This is done to assess the controller's ability to return to normal operation after a traction event, and because there are no simulations of this type for MTTE control on a high delity vehicle model in the literature. The results show that oscillations in the tyre-road friction force as the wheel transitions across the change in μ somewhat impede the return of the controller's output torque to the torque demand. The 2WID-MTTE controller is implemented on Delta Motorsport's E4 coupe by integrating it into the vehicle's Powertrain Control Module (PCM). This is experimentally tested for the vehicle accelerating across a range of surfaces at the MIRA proving ground. The experimental tests include high- to low-μ, low- to high-μ and split-μ roads. The results for the high- to low-μ road tests show that 2WID-MTTE control prevents the vehicle spinning when compared to no control. Similar to the simulation, the results of the low- to high-μ road experiment show that the controller output torque is also impeded from returning to the demand torque. Observation of the estimated friction force together with the on-board accelerometers conrm that this is due to tyre friction oscillating after the transition. This justies the use of a tyre model with transient dynamics. The proposed 2WID-MTTE controller uses wheel velocity and torque feedback to estimate friction torque. These signals are obtained from the vehicle's motor controllers via a Controlled Area Network (CAN) bus. The 2WID-MTTE controller is benchmarked against Independent MTTE that uses wheel velocity measured directly from the wheel hub sensors and the torque demand to estimate friction torque. The results show that the delays introduced by the CAN bus increase wheel slip for the 2WID-MTTE controller. However, the equal torque strategy means that 2WID-MTTE controller maintains greater vehicle directional stability, which is more important than the pursuit of greater acceleration.
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Morton, Mark A. "Traction Control Study for a Scaled Automated Robotic Car." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9946.

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This thesis presents the use of sliding mode control applied to a 1/10th scale robotic car to operate at a desired slip. Controlling the robot car at any desired slip has a direct relation to the amount of force that is applied to the driving wheels based on road surface conditions. For this model, the desired traction/slip is maintained for a specific surface which happens to be a Lego treadmill platform. How the platform evolved and the robot car was designed are also covered. To parameterize the system dynamics, simulated annealing is used to find the minimal error between mathematical simulations and physical test results. Also discussed is how the robot car and microprocessor can be modeled as a hybrid system. The results from testing the robot car at various desired percent slip show that it is possible to control the slip dynamics of a 1/10th scale automated robotic car and thus pave the way for further studies using scaled model cars to test an automated highway system.
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Crossley, Paul Richard. "Modelling and analysis of traction control systems in automobiles." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/110738/.

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This thesis begins with a brief overview of vehicle control. The thesis places powertrain control, which is discussed in more detail, within the wider context of vehicle control. Traction control is one aspect of powertrain control. The available methods of traction control are reviewed together with a discussion on the systems in current production. The traditional method adopted by the automotive industry for traction control is analysed. The powertrain system is analysed from a control stand-point and a control oriented approach to traction control design identified. The emphasis in this thesis is on the analysis of traction control systems. The analysis is performed on simulation models and is supported by implementations on the real vehicle. The level of modelling appropriate for the analysis is justified and models developed in a modular manner. The individual modules are developed on the basis of published material and previous work within Ford Motor Company. Based on the analysis, two traction control strategies are developed which are subsequently developed and implemented on real vehicles. The results of this vehicle work is discussed.
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Books on the topic "Traction control"

1

Ovsyannikov, Evgeniy, and Tamara Gaytova. Optimal control of traction electric drives. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141767.

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The monograph considers various types of traction electric drives of motor vehicles intended for operation in urban conditions. Mathematical models of these systems are proposed. On the basis of parametric optimization and graphoanalytic method, a method of joint control of electric drives according to the criteria of minimum losses and maximum overload capacity, taking into account possible restrictions on the resources of power elements, has been developed. For a wide range of readers interested in improving motor vehicles. It will be useful for students, postgraduates and teachers of engineering and technical universities.
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Hadji, S. GTO thyristor traction drives using microprocessor control. Birmingham: University of Birmingham, 1986.

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International Conference on Traction Control and Anti-Wheel-Spin Systems for Road Vehicles (1988 London, England). Traction control and anti-wheel-spin systems for road vehicles: 6-7 September 1988, the Institution of Mechanical Engineers, Birdcage Walk, London. Bury St. Edmunds, Suffolk [England]: Published for the Institution of Mechanical Engineers by Mechanical Engineering Publications Limited, 1988.

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Crossley, P. R. Modelling and analysis of traction control systems in automobiles. [s.l.]: typescript, 1992.

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An age of superheroes (a time before traction control). Sparkford, Yeovil, Somerset, UK: Haynes, 2010.

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Silva, Clarence W. De. Dynamic evaluation of a traction-drive joint for space telerobotics. Hampton, Virginia: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Corporation, General Motors. Bosch 5 series antilock brake systems (ABS) & traction control systems (TCS). Warren, Mich.]: General Motors Corp., 1997.

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Ozkaya, Mustafa. A control system for a GTO voltage source inverter induction machine for railway traction. Birmingham: University of Birmingham, 1988.

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Comfort, G. Traction enhancement provided by sand application on packed snow and bare ice: Summary report. Downsview, Ont: The Research & Development Branch, Ministry of Transportation, Ontario, 1997.

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Maznev, Aleksandr, and Oleg Shatnev. Electric apparatus and circuits of rolling stock. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014641.

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Provides information about technical data and design of electrical apparatus of control, monitoring and protection of traction motors of electric rolling stock (EPS), the principles of speed control of locomotives and trains with contactor-resistor and semiconductor converters based on modern element base, a circuit diagram of various types of EPS with manifold and induction motors in modes of traction and braking. For students of institutions of secondary professional education. It may be useful to students of higher educational institutions, courses of improvement of qualification, the railway workers related to the maintenance and repair of rolling stock.
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Book chapters on the topic "Traction control"

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Isermann, Rolf. "Tire Traction and Force Transfer." In Automotive Control, 75–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-39440-9_5.

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Kost, Friedrich, Jürgen Schuh, Heinz-Jürgen Koch-Dücker, Frank Niewels, Thomas Ehret, Jochen Wagner, Ulrich Papert, Frank Heinen, and Peter Eberspächer. "Traction Control System (TCS)." In Automotive Mechatronics, 370–77. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-03975-2_15.

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Niewels, Frank, and Jürgen Schuh. "Traction control system (TCS)." In Brakes, Brake Control and Driver Assistance Systems, 94–101. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-03978-3_7.

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Kumar, Arvind. "Review on Traction Control System." In International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing, 184–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92905-3_23.

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Borrelli, Francesco, Alberto Bemporad, Michael Fodor, and Davor Hrovat. "A Hybrid Approach to Traction Control." In Hybrid Systems: Computation and Control, 162–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45351-2_16.

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Rahman, Faz, and Rukmi Dutta. "AC Motor Control Applications in Vehicle Traction." In AC Electric Motors Control, 453–86. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch21.

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Briz, Fernando, and Gonzalo Abad. "Control of induction machines." In Power Electronics and Electric Drives for Traction Applications, 37–99. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118954454.ch2.

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Briz, Fernando, and Gonzalo Abad. "Control of synchronous machines." In Power Electronics and Electric Drives for Traction Applications, 100–147. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118954454.ch3.

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Milicua, Aritz, and Gonzalo Abad. "Control of grid-connected converters." In Power Electronics and Electric Drives for Traction Applications, 148–220. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118954454.ch4.

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Houf, Z., Z. Čeřovský, and V. Hlinovský. "Traction Control System for Formula Student Electric." In Advances in Mechanisms Design, 517–22. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5125-5_68.

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Conference papers on the topic "Traction control"

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"TT traction control systems." In 2018 15th International Workshop on Advanced Motion Control (AMC). IEEE, 2018. http://dx.doi.org/10.1109/amc.2019.8371100.

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Jawad, Badih, Nabil Hachem, Sasa Cizmic, Janette Leese, and William Bowerman. "Traction Control Applications in Engine Control." In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-3464.

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Gupta, Saurabh, Priya Mahajan, and Rachana Garg. "Tractive energy optimization in railway electric traction system." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853359.

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Xi, Zhiqiang, Zhenqing Wu, Zhongli Li, and Jishun Li. "Research on Dynamic Shift Rule of Agricultural Tractor PST Based on Maximum Productivity." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85434.

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When worked in field traction operation, the productivity index of the tractor unit is mainly reflected by the traction performance. Through analyzing the influence factors of the maximum productivity and the traction characteristics of tractor when equipped with automatic power-shift transmission, it is determined that the improvement of traction power of tractor is the fundamental measure to obtain the maximum productivity. Based on the principle, the dynamic gearshift rule and its control strategy are presented, which takes the throttle opening and engine speed as control parameters. Taking YTO LA2004 wheeled tractor as investigative subject, the simulation analysis of heavy load working condition such as ploughing was carried out. The results show that the maximum productivity shift rule can be used to shift the transmission gear with the change of traction load, which ensure that the engine works at speed governing line near the maximum power point, it can improve the traction power and traction efficiency of tractor. And when the load is small fluctuations, it doesn’t affect the change of gear, which can avoid the repeat gearshift phenomenon. The research provided a theoretical basis for the development of automatic transmission control system of tractor.
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Shardlow, M. A., and J. J. Greening. "D.C. motor control." In IET Professional Development Course on Electric Traction Systems. IET, 2010. http://dx.doi.org/10.1049/ic.2010.0189.

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Shardlow, M. A., and J. J. Greening. "DC motor control." In IET Professional Development Course on Electric Traction Systems. Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/ic.2012.0075.

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Shardlow, M. A., and J. J. Greening. "D.C. motor control." In IET Professional Development Course on Electric Traction Systems. IEE, 2008. http://dx.doi.org/10.1049/ic:20080507.

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Emig, Reiner, and Herbert Schramm. "Traction Control for Commercial Vehicles." In 1989 Subzero Engineering Conditions Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/890046.

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Tiganasu, Alexandru, and Corneliu Lazar. "LabVIEW traction control dynamic simulator." In 2015 19th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2015. http://dx.doi.org/10.1109/icstcc.2015.7321391.

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Dearman, P. G. "Integrating Traction Protection and Control." In 12th IET International Conference on Developments in Power System Protection (DPSP 2014). Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.0019.

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Reports on the topic "Traction control"

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Thianwiboon, Mongkol, and Viboon Sangveraphunsiri. Traction Control of a Rocker-Bogie Field Mobile Robot. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0180.

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Fujimoto, Hiroshi, Akio Tsumasaka, and Toshihiko Noguchi. Traction and Yaw-Moment Control of Small Electric Vehicle on Snowy Condition. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0359.

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Li, Howell, Jijo K. Mathew, Woosung Kim, and Darcy M. Bullock. Using Crowdsourced Vehicle Braking Data to Identify Roadway Hazards. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317272.

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Modern vehicles know more about the road conditions than transportation agencies. Enhanced vehicle data that provides information on “close calls” such as hard braking events or road conditions during winter such as wheel slips and traction control will be critical for improving safety and traffic operations. This research applied conflict analyses techniques to process approximately 1.5 million hard braking events that occurred in the state of Indiana over a period of one week in August 2019. The study looked at work zones, signalized intersections, interchanges and entry/exit ramps. Qualitative spatial frequency analysis of hard-braking events on the interstate demonstrated the ability to quickly identify temporary and long-term construction zones that warrant further investigation to improve geometry and advance warning signs. The study concludes by recommending the frequency of hard-braking events across different interstate routes to identify roadway locations that have abnormally high numbers of “close calls” for further engineering assessment.
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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds.
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Cook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.

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This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain and off-road vehicle dynamics while minimizing the computational cost for model based design of leader-follower control algorithms. The leader-follower control architecture presented proposes maintaining a flexible formation by using a look-ahead technique along with a way point following strategy. Results simulate one leader-follower tractor pair where the leader is forced to take an abrupt turn and experiences large oscillations of its drawbar arm indicating potential payload instability. However, the follower tractor maintains the flexible formation but keeps its payload stable. This highlights the robustness of the proposed approach where the follower vehicle can reject errors in human leader driving.
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Adams, B. E., and Ted R. Zimmerman. Repower and Regear on an M915 Line Haul Tractor to Demonstrate Feasibility of Commercial Electronic Controls and Air Starters. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada207122.

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Drive modelling and performance estimation of IPM motor using SVPWM and Six-step Control Strategy. SAE International, April 2021. http://dx.doi.org/10.4271/2021-01-0775.

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This paper presents a comprehensive evaluation of the performance of an interior permanent magnet (IPM) traction motor drive, and analyses the impact of different modulation techniques. The most widely used modulation methods in traction motor drives are Space vector modulation (SVPWM), over-modulation, and six-step modulation have been implemented. A two-dimensional electromagnetic finite element model of the motor is co-simulated with a dynamic model of a field-oriented control (FOC) circuit. For accurate tuning of the current controllers, extended complex vector synchronous frame current regulators are employed. The DC-link voltage utilization, harmonics in the output waveforms, torque ripple, iron losses, and AC copper losses are calculated and compared with sinusoidal excitation. Overall, it is concluded that the selection of modulation technique is related to the operating condition and motor speed, and a smooth transition between different modulation techniques is essential to achieve a better performance.
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Part-time farmer is killed after losing control of his tractor. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, November 1994. http://dx.doi.org/10.26616/nioshsface94ky084.

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Farmer is run over by tractor after losing control on public roadway. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, October 1994. http://dx.doi.org/10.26616/nioshsface94ky063.

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