Model Reference Adaptive Control for Agriculture Application

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Main Author: Tufan Bera, Pritam Chatterjee, Argha Maji, Ashis De
Format: Recurso digital
Language:English
Published: Zenodo 2026
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_version_ 1866901725889167360
author Tufan Bera, Pritam Chatterjee, Argha Maji, Ashis De
author_facet Tufan Bera, Pritam Chatterjee, Argha Maji, Ashis De
contents <p><strong><em><span>A new approach to adaptive model reference control, based on MIT rule is presented. Modern agricultural machines happen to work for prolonged periods of time in considerably harsh environments. This puts a higher demand on the automatic control systems and steering control in particular. Long-term machine operation leads to variance of the physical parameters of the working fluid, positive overlap in proportional valve, working temperature and machine components. In this paper we will be discussing about Model Reference Adaptive control (MRAC) which is an approach to solve real world problems related to Adaptive Control.</span></em></strong><span> </span><strong><em><span>The present research is focused on the design and application of model reference adaptive controller (MRAC) for control of steering angle of a heavy duty agriculture mobile machine through a hydraulic cylinder. The synthesized controller is based on simple integrator model of the steering cylinder and Lyapunov stability theorems. The closed-loop system achieves good performance and the adaptive gain is stabilized around its mean value too. </span></em></strong></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18898289
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Model Reference Adaptive Control for Agriculture Application
Tufan Bera, Pritam Chatterjee, Argha Maji, Ashis De
Model Reference Adaptive control (MRAC), Steering, Agricultural, MIT Rule
<p><strong><em><span>A new approach to adaptive model reference control, based on MIT rule is presented. Modern agricultural machines happen to work for prolonged periods of time in considerably harsh environments. This puts a higher demand on the automatic control systems and steering control in particular. Long-term machine operation leads to variance of the physical parameters of the working fluid, positive overlap in proportional valve, working temperature and machine components. In this paper we will be discussing about Model Reference Adaptive control (MRAC) which is an approach to solve real world problems related to Adaptive Control.</span></em></strong><span> </span><strong><em><span>The present research is focused on the design and application of model reference adaptive controller (MRAC) for control of steering angle of a heavy duty agriculture mobile machine through a hydraulic cylinder. The synthesized controller is based on simple integrator model of the steering cylinder and Lyapunov stability theorems. The closed-loop system achieves good performance and the adaptive gain is stabilized around its mean value too. </span></em></strong></p>
title Model Reference Adaptive Control for Agriculture Application
topic Model Reference Adaptive control (MRAC), Steering, Agricultural, MIT Rule
url https://doi.org/10.5281/zenodo.18898289