Maneuverability of Wheeled Poly-Articulated Agricultural Vehicles: Modeling and Field Testing

2021 ◽  
Vol 64 (6) ◽  
pp. 2111-2124
Author(s):  
Andrii Yatskul ◽  
Frederic Cointault ◽  
Jean-Pierre Lemiere

HighlightsModeling provides the relationships between path, kinematics, geometry, and towed implements.Linear interpolation allows trajectories to be compared if data recording is random.Correction coefficients can be a solution to compensate for soil resistance.Abstract. Automatic guidance systems and autonomous vehicles require tested methods of path generation to ensure successful maneuvers (such as automatic trajectory correction and headland turn management). In this study, an evolution of Zakin’s kinematic modeling, as applied in the automobile industry, is proposed for an agricultural poly-articulated vehicle (representing a tractor or other type of towing vehicle with one or more towed implements attached with an articulated hitch). Geometry, vehicle ground speed, and angular steering velocity are considered in the generation of maneuvering paths. Based on the specifics of real field conditions (slope, plant residue, resistance due to soil compaction, etc.), the initial model was improved by introducing correction coefficients. An experimental setup is proposed using a tractor with two towed implements and a testing method involving point-to-point path comparison. The modeling method has potential for integrating more complex procedures (such as path generation, geolocation, and following) into the design of a maneuvering management system for agricultural machines, which can contribute to the efficiency of field operations. Keywords: Agricultural vehicle, Headland turn automation, Maneuverability, Modeling, Path generation, Path planning, Poly-articulated vehicle.

2018 ◽  
Vol 7 (3.30) ◽  
pp. 202
Author(s):  
Keerati Sittichainarong ◽  
Aaron Loh ◽  
Preecha Methavasaraphak ◽  
John Barnes

Thailand is the biggest manufacturer of trucks and cars outside of Japan and China in Asia. Many had reported that "smart" technology especially that which leads towards driverless or autonomous vehicles will be the most important single development that will affect the automobile industry both domestically and globally.  Hence this research is therefore on the readiness of Thai car owners to adopt the new technology and the intention to purchase a smart car in the near future. Specifically, it is a case study on the influential factors affecting the intent to purchase a smart car by owners of a top Japanese brand in Bangkok. A questionnaire survey was conducted on 385 existing car owners of the Japanese brand under consideration in metropolitan areas of Bangkok and the data returned analyzed by multiple linear regression. The outcome of the research pointed towards ‘Self-identity” and ‘Emotional connection’ as the most influential factors towards the intent to purchase a smart car.  


2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A91.3-A92
Author(s):  
Gautham Sukumar ◽  
Kowshik Kupatira ◽  
Pradeep Banandur ◽  
G Gururaj

IntroductionThis ‘Health and productivity’ project was implemented to identify priority health problems and health related productivity loss in a large automobile industry in India. It hopes to re-emphasize that ‘OH department’ is a partner in productivity.ObjectivesTo estimate prevalence, incidence rates , trends and risk for health problems among employees (year 2010–14)To identify leading causes of hospitalization and out–patient care among employees (year 2010–14).To quantify loss in productive work time attributed to health related absence in year 2014 and forecast to year 2025MethodsA five year records analysis (2010–14) was conducted in a leading automobile industry in year 2015–16. Data was pooled from clinic visit records, annual medical examination , insurance claims and leave records, systematically using employee ID. Trends and incidence rates of leading health risks were computed per 1000 person-months of employment. Leading causes and trends in out-patient and in-patient care of employees were determined. Total work time (man-hours) was computed and health related loss in work-time was derived. Cox-regression was used to assess risk between work department and morbidity. ARIMA method was used to forecast productivity loss till year 2025.ResultsBetween 2010–14, overweight and hypertension were identified as leading health risks. Respiratory, musculoskeletal and digestive disorders were leading causes for clinic visits. Infectious diseases are leading cause for hospitalization. Health related absence accounted for 1.87% of total productive time. Forecasting indicates an increase to 9.31% by year 2025.ConclusionHealth related absence contributes to significant loss in productive work-time. There is scope to reduce these losses by improvement in health situation. Our study provided key information and trends for planning evidence based health promotion programmes in the industry.


Author(s):  
Akash gupta ◽  
Rahat Ali ◽  
Abhay Pratap Singh ◽  
P.Raja Kumar

Nowdays we are witnessing the technology transforming everything the way we used to do things and how the automobile industry is transforming itself with the use of technology IOT,Artificial intelligence,Machine learning.Companies shifting its products and its utilities in diferent way and they now want to acquire and introduce level-5 autonomous to future generation and big automobile companies are trying to achieve autonomous vechicles and we have researhed about the model that will help in assisting autonomous vechicles and trying to achieve that.We will develop this model with help of technologies like Artificial intelligence,Machine learning,Deep learning.Autonomous vehcicles will become a reality on our roads in the near future. However, the absence of a human driver requires technical solutions for a range of issues, and these are still being developed and optimised. It is a great contribution for the automotive industry which is going towards innovation and economic growth. If we talking about some past decade the momentum of new research and the world is now at the very advanced stage of technological revolution. “Autonomous-driving” vehicles. The term Self-driving cars, autonomous car, or the driverless cars have different name with common objective. The main focus is to keep the human being out of the vehicle control loop and to relieve them from the task of driving. Everyday automotive technology researchers solve challenges. In the future, without human assistance, robots will produce autonomous vehicles using IoT technology based on customer needs and prefer that these vehicles are more secure and comfortable in mobility systems such as the movement of people or goods. We will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles .This model we have tested it and resulted in 95% accuracy.


2018 ◽  
Vol 10 (8) ◽  
pp. 2852 ◽  
Author(s):  
Illi Kim ◽  
Changhee Kim

The automobile industry is set to undergo a structural transformation in the progress toward next-generation industries that involve autonomous vehicles and connected cars. Thus, supply chain management has become increasingly important for corporate competitiveness. This study aims to identify opportunities for improving supply chain performance by quantifying the impact of suppliers on the supply chain. An analysis was conducted in two phases. First, the efficiency of 139 partners that supply automobile components to the Hyundai Motor Company was measured using the Charnes–Cooper–Rhodes model, while the efficiency of Hyundai Motor Company’s 540 supply chains comprising partners, subsidiaries, and parent companies was measured using the network epsilon-based measure model. Second, the relationship between the partner efficiency and the supply chain efficiency was analyzed using the Mann–Whitney U test and the Tobit regression model. The results showed that efficient operation of partners hampers the efficiency of the total supply chain. Thus, there may be several partners that are not committed to quality improvement, while the Hyundai Motor Company seeks to promote quality management through win–win cooperation with partners. Consequently, automakers must review their partner management system, including their performance measurement and incentive systems.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Peng Han ◽  
Bingyu Zhang

With the development of global urbanization and the construction of regional urbanization, residents around urban cities are increasingly making demands on urban public transportation system. A new kind of modern public transportation vehicle named Multi-Articulated Guided Vehicle based on Virtual Track (MAAV-VT) with the advantages of beautiful, smart energy conservation and environmental protection is proposed in this paper, which aims at optimizing the public transportation system between and within urban areas. Therefore, concentrating on the general design and control strategy, the main contents of this paper are as follows. At first, the design concepts and key technologies of MAAV-VT are introduced. It is the fusion of urban rail transit operation mode and advanced automotive technologies, which have the characteristics of 100% low-floor, medium to high velocity, medium to big capacity, and low construction cost. Then, as the core subsystem, to guarantee the properties of self-guiding and trajectory tracking of the new vehicle, this paper is focused on the control system based on the dynamics and kinematics model of the whole multi-articulated vehicle. The multi-trace-points cooperative trajectory tracking control strategy on the basis of the circulation of feasible path generation method is proposed and the lateral controller is designed for trajectory tracking. The process of feasible path generation is conducted once the tracking error exceeded. A simulation platform is built considering the mechanical properties of each vehicle element and the characteristic of articulated mechanism. Finally, the function of control system is validated. The tracking error of each vehicle elements would be reduced to make sure the whole multi-articulated vehicle moves along the preset virtual track.


Author(s):  
S. Bhuvaneswari ◽  
S. Manivannan ◽  
P. Salil

The automotive industry is gearing for a drastic shift towards the electric vehicles and also leaping for the autonomous vehicles. The functional performance of such autonomous vehicles must be properly ensured. One such kind of disturbance to the proper functioning of the vehicle is Electromagnetic Interference due to presence of various electrical systems. The operating frequency range is increasing due to latest advancement in automobile industry. The future working frequency is going to be 74GHz which falls under extremely high frequency range. So it is inevitable to analyse the electromagnetic interference and emission caused by such futuristic models. The electromagnetic field effect is dependent on the shielding effectiveness. The Electromagnetic Shielding Effectiveness (EMSE) varies with numerous parameters like the type of material, shape of material, size of material etc. The work deals with the modelling of cable and study on shielding effectiveness of the cables used in automotive. The same has to be evaluated with standards test procedures and validated.


2018 ◽  
Vol 28 (1-2) ◽  
pp. 310-320 ◽  
Author(s):  
Friederike J. S. Thilo ◽  
Sabine Hahn ◽  
Ruud J. G. Halfens ◽  
Jos M. G. A. Schols

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