Digital wheel slipmeter for agricultural 2WD tractors

Pranav, P. K.; Pandey, K.P.; Tewari, V.K.

doi:10.1016/j.compag.2010.05.003

Cited by 37 publications

(12 citation statements)

References 6 publications

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“…The minimum tillage depth measured was 19 cm. Similar results have been reported by researchers in previous studies [11,32,33].…”

Section: Figure 11 Results Of Warning Systemsupporting

confidence: 93%

“…The draft control systems engaged in tractors are found to be inefficient in keeping the draft control in line with the slip [10][11][12][13][14][15]. Researchers have also concluded that commercial draft control systems force the operator to control the depth control lever frequently for achieving the optimum draft, resulting in poor efficiency [13,16].…”

Section: Introductionmentioning

confidence: 99%

“…The frequency of operation of hydraulic control lever has been found to be 3 times/min [17] and about 40% of such adjustments were to prevent excessive slip [18,19]. However, the utilization of this information depends upon operator's experience and fatigue level [11].…”

Section: Introductionmentioning

confidence: 99%

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Toprak İşlemede Pati̇najin Otomati̇k Kontrolü

Soylu

Çarman

2020

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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In this study, a control system that automatically adjusts the working depth of the tractor tillage equipment has been developed in order to keep the wheel slip occurring in agricultural tractors during the tillage activities at the determined limit value. The developed automatic control system continuously measured the wheel slip on the tractor drive wheels and reduced the tillage depth adjusted for the wheel slip increase. While the amount of wheel sip was at the allowed level, the tillage equipment worked at the set depth value. In the study, a driver warning system is also designed to alert the driver to reduce the tillage depth when the amount of wheel slip exceeds the specified limit value. The driver warning system warns the driver visually with the help of colored LEDs and audibly with a buzzer according to the measured wheel slip value. The developed automatic control system was compared separately with the designed driver warning system and the operator's own control. The wheel slip value was calculated by comparing the forward speed of the tractor with the speed of the drive wheels. The automatic control system and driver warning system were installed on a New Holland TD110 agricultural tractor and trials were carried out in real field conditions. As a result of the trials, according to the driver warning system and operator control, it was determined that there was a 3-29% reduction in wheel slip and a 22-30% reduction in fuel consumption in soil tillage activities carried out with automatic control system. On the other hand, the draft force decreased by more than 5% compared to the operator control in the automatic control system. However, it was observed that there was almost no change in the average tillage depth between the control methods.

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“…The minimum tillage depth measured was 19 cm. Similar results have been reported by researchers in previous studies [11,32,33].…”

Section: Figure 11 Results Of Warning Systemsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toprak İşlemede Pati̇najin Otomati̇k Kontrolü

Soylu

Çarman

2020

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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“…Although the slip rate calculation only requires the vehicle's speed and the wheel speed, the error of the input signal is amplified in the process of calculation. At present, there is a high-precision hardware device and a method of improving the circuit to improve the accuracy of the measurement, [15][16][17][18][19] but the method of digital filtering and data estimation is not mentioned. X Ying et al 20 noted the impact of noise on real-time measurements of the tractor's slip rate, but he did not discuss the results of the impact.…”

Section: Introductionmentioning

confidence: 99%

The control of high-clearance electric vehicles based on pavement parameter estimations

Zhou

Wang

et al. 2018

Advances in Mechanical Engineering

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Agricultural high-clearance vehicles are different from traditional vehicles. Agricultural vehicles have particular features that are mainly suited for the agricultural vehicle's working environment. Farmland is relatively complex, mostly unknown and unstructured environment, and it is difficult to accurately model. The complex characteristics of farmland or hilly terrain demands that the agricultural machinery on the ground environment must have sufficient robustness. In this article, a soft road high vacant land vehicle model is established, and then, through the observation of force of tyres and the use of an existing tyre model recursive least square parameter estimation, the road adhesion coefficient is obtained. Considering that the sliding mode control can effectively solve the parameter uncertain nonlinear system, the model established herein has the advantages of robustness and fast response. The sliding mode control and the incremental proportional-integral control were used to test the uniform pavement and the separate pavement, respectively, and the results showed that the sliding mode control was closer to the target value than the incremental proportional-integral control but was less stable than the incremental proportional-integral control on the uniform road surface; in addition, the sliding mode control was superior to the incremental proportional-integral control on the separate road surface.

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“…Simulators have been developed for vehicles other than automobiles, such as construction vehicles (K. Son, Goo, Yoo, Lee, & Lee, 2001) and agricultural equipment . However, while the automotive industry has been using driving simulators for many years, a relatively small number of such simulators exist for agricultural vehicles, resulting in a void in the literature Wilkerson, Asbury, Prather, & Lown, 1993) Additionally, because there are so few agricultural simulators in existence, it can be more cost-effective to test feature development on actual equipment; some studies are well suited for simulator development by their design, but are simply executed on small scale tractor platforms (Pranav, Pandey, & Tewari, 2010;Pranav, Tewari, Pandey, & Jha, 2012).…”

Section: Introductionmentioning

confidence: 99%

Psychophysiological measures of mental effort and emotion within user research

Meusel

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Chase Meusel's role in this research included contributions to the experimental design, participant recruitment, data collection, data coding and analysis, and primary authorship on the chapter/paper. Chase designed a novel UX observation technique to monitor iPad activity without interfering with user activity. Lastly, Chase used novel data fusion methods to report stronger findings by combining physiological, behavioral, performance, self-report, and interview data.

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Digital wheel slipmeter for agricultural 2WD tractors

Cited by 37 publications

References 6 publications

Toprak İşlemede Pati̇najin Otomati̇k Kontrolü

Toprak İşlemede Pati̇najin Otomati̇k Kontrolü

The control of high-clearance electric vehicles based on pavement parameter estimations

Psychophysiological measures of mental effort and emotion within user research

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