A semi-empirical traction prediction model for an agricultural tyre, based on the super ellipse shape of the contact surface

Roşca, Radu; Cârlescu, P.; Ţenu, Ioan

doi:10.1016/j.still.2014.03.007

Cited by 33 publications

(15 citation statements)

References 14 publications

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“…The lower speed of the highest pressure, 4.19 km h-1, occurred due to the greater slippage and the wheelsets' kinematic advance, which delayed the fluent movement of the mechanized set. In this context, Rosca et al (2014) describe that the tires' pressure is directly related to the operational speed that the tractor-implement set can develop. This is due to the tire's contact and adherence to the soil surface, which may be greater or lesser and may vary according to the inflation pressure used.…”

Section: Resultsmentioning

confidence: 99%

Operational Performance of an Agricultural Tractor Under Different Tire Inflation Pressures in the Subsoiling Operation

Lopes

Correia

Lima

et al. 2020

Rev. Agric. Neotrop.

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For the agricultural tractor's best performance, it must be correctly adapted to the job. Among other factors, the adequacy of tire inflation pressure is one of the most important and may influence the operation's efficiency and productivity. This study aimed to evaluate an agricultural tractor's operational performance with different tire inflation pressures in the subsoiling operation. The study was carried out in an experimental area of the Agricultural Machinery and Mechanization Laboratory of the experimental farm “Água Limpa,” belonging to the University of Brasília. The experimental design used was in randomized blocks with the following values, 206.8 kPa (30 psi), 137.9 kPa (20 psi), and 68.9 kPa (10 psi), of inflation pressure for agricultural tractor tires. The mechanized set used was a tractor model TM7020 2WD MFWD pulling a subsoiler with five shanks, SPCR model, in a Latossolo Vermelho-Amarelo. The higher inflation pressure resulted in greater slippage, advance, hourly fuel consumption, and lower speed and operational field capacity.

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Section: Resultsmentioning

confidence: 99%

Operational Performance of an Agricultural Tractor Under Different Tire Inflation Pressures in the Subsoiling Operation

Lopes

Correia

Lima

et al. 2020

Rev. Agric. Neotrop.

View full text Add to dashboard Cite

show abstract

“…Semiempirical models are based on the vertical deformation of the soil and the shear deformation of the soil under a traction device. Rosca et al proposed using experimentally derived parameters in semianalytical models to predict the traction performance of a driving tractor tire [9]. Empirical models are simpler than analytical and semiempirical models; however, their applicability is limited to cases in which the service and experimental conditions used to develop the model are similar.…”

Section: Introductionmentioning

confidence: 99%

Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions

2020

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Considering the fuel consumption and soil compaction, optimization of the performance of tractors is crucial for modern agricultural practices. The tractive performance is influenced by many factors, making it difficult to be modeled. In this work, the traction force and tractive efficiency of a low-power tractor, as affected by soil coefficient, vertical load, horizontal deformation, soil compaction, and soil moisture, were studied. The optimal work of a tractor is a compromise between the maximum traction force and the maximum tractive efficiency. Optimizing these factors is complex and requires accurate models. To this end, the performances of soft computing approaches, including neural networks, genetic algorithms, and adaptive network fuzzy inference system, were evaluated. The optimal performance was realized by neural networks trained by backpropagation as well as backpropagation combined with a genetic algorithm, with a coefficient of determination of 0.955 for the traction force and 0.954 for the tractive efficiency. Based on models with the best accuracy, a sensitivity analysis was performed. The results showed that the traction performance is mainly influenced by the soil type; nevertheless, the vertical load and soil moisture also exhibited a relatively strong influence.

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“…17,18 The application of this new state observation system to dynamic control of distributed electric vehicle will greatly improve and enhance the effect of vehicle dynamic control. 19,20 In vehicle dynamics control, vehicle state parameter observation system estimates vehicle key state parameters online and transmits effective information to vehicle controller. 21,22 The vehicle controller analyzes the current vehicle status according to the acquired information and then issues corresponding control instructions, so as to achieve effective control of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

The tracking control study of distributed electric-driven agricultural vehicles based on real-time online estimation

Zhou

2019

Advances in Mechanical Engineering

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For tracking control issues of distributed electric-driven agricultural vehicles in the complex road conditions driving state, a 6-degree-of-freedom model of agriculture vehicle was established. On this basis, a mathematical model for control system design was derived using the significant advantages of real-time online estimation of vehicle yaw angular velocity of nonlinear third-order extended state observer. Based on the nonlinear third-order extended state observer, a fast and smooth terminal sliding mode control algorithm was designed using the mathematical model. Afterward, the stability of system was analyzed based on Lyapunov theory. The control algorithm used the fast and smooth terminal sliding mode control instead of the normal terminal sliding mode control required control coefficient matrix inverse calculation, which improved the real-time of the control algorithm. Meanwhile, the smooth sliding mode approach law could converge to the sliding surface in finite time and effectively eliminate chattering, and it had strong adaptability to perturbation and perturbation of system parameters. Simulation and experimental results showed that compared with the traditional nonlinear feedback control algorithm based on nonlinear third-order extended state observer, the proposed control algorithm had short adjustment time, small overshoot and good tracking control accuracy.

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A semi-empirical traction prediction model for an agricultural tyre, based on the super ellipse shape of the contact surface

Cited by 33 publications

References 14 publications

Operational Performance of an Agricultural Tractor Under Different Tire Inflation Pressures in the Subsoiling Operation

Operational Performance of an Agricultural Tractor Under Different Tire Inflation Pressures in the Subsoiling Operation

Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions

The tracking control study of distributed electric-driven agricultural vehicles based on real-time online estimation

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