editedbook

TRACTOR WHEEL SLIP MEASUREMENT AND OPTIMIZATION

Area/Stream: Agriculture Engineering & Food Sciences,
Authors: Manojit Chowdhury, Ajay Kushwah
Keywords: wheel slip; slip optimization; radar sensor; hall sensor; proximity sensor
Book Name /series: Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 9, Chapter 19
Publication: IIP Proceedings

Year: 2022,
Month: November

Page No: 260-269,
ISSN/ISBN: 978-93-95632-65-2,
DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202365BE5BF9596AFD6.pdf


Abstract:

Tractor wheel slip plays an important role in improving tractive efficiency and performance of the tractor. Excessive wheel slippage results in more wheel spin without tractor movement and energy loss through tire. Due to under slippage the tire sticks to the soil and requires more tractive effort for its movement resulting in wastage of fuel and power. Wheel slip should be measured during tractor operations within the field. This chapter discusses the techniques available for wheel slip measurement. The measurement of wheel slip can be obtained by different traditional and sensor-based methods. The traditional method, which includes velocity and distance measurements for a number of revolutions, is time-consuming and less accurate. The sensor (Hall effect, Radar, Proximity and rotary encoder) based methods are capable of real-time slip estimation during tractor operation and indicating the slip status to the driver. Currently, machine vision-based technique has also been introduced for wheel slip measurement. However, more research should be carried out to determine its accuracy and acceptance in real-time tractor wheel slip measurement. Wheel slip should be optimized (8-15%) to enhance the tractive performance, fuel efficiency and field capacity.

Cite this: Manojit Chowdhury, Ajay Kushwah,"TRACTOR WHEEL SLIP MEASUREMENT AND OPTIMIZATION", Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 9, Chapter 19, November, 2022, 260-269, 978-93-95632-65-2, https://www.rsquarel.org/assets/docupload/rsl202365BE5BF9596AFD6.pdf
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