IJBTT

Hybrid Fuzzy PID Controller for Intelligent Tractor Steering Control

Hybrid Fuzzy PID Controller for Intelligent Tractor Steering Control
	© 2022 by IJETT Journal
	Volume-70 Issue-12
	Year of Publication : 2022
	Author : Somdavee Bhosinak, Dechrit Maneetham, Tenzin Rabgyal
	DOI : 10.14445/22315381/IJETT-V70I12P235

How to Cite?

Somdavee Bhosinak, Dechrit Maneetham, Tenzin Rabgyal, "Hybrid Fuzzy PID Controller for Intelligent Tractor Steering Control," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 359-369, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P235

Abstract
This article proposes an automatic Fuzzy PID hybrid steering control algorithm for a four-wheel tractor steering system. The proposed PID control mimics a tractor's manual steering movement characteristics, while a fuzzy logic algorithm is combined to optimize the autopilot parameter setting the PID value. The fuzzy inference engine is built on a rule base, so optimization of the fuzzy rule base is achieved by using a few parameters. The simulation results show that this algorithm can intelligently follow the given reference value and produce a small overshoot value with good resistance. As validation, this hybrid algorithm was tested using a four-wheel tractor with rear-wheel drive. The field test results show that the hybrid Fuzzy PID algorithm can well control the steering on autopilot.

Keywords
Hybrid control, Fuzzy, Pid, Steering control, Intelligent tractor.

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