Tractor-Implement Tillage Depth Control Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

This study presents a design of an adaptive neuro-fuzzy controller for tractors’ tillage operations. Since the classical controllers allows plowing depth errors due to the variations of lands structure, the use of the combined neural networks and fuzzy logic methods decreases these errors. The propo...

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Veröffentlicht in:	Proceedings of engineering and technology innovation Online 2021-08, Vol.19, p.53-61
Hauptverfasser:	Timene, Aristide, Ngasop, Ndjiya, Djalo, Haman
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuators Adaptive control Adaptive systems Artificial neural networks Controllers Design Disturbances Engineering Fuzzy control Fuzzy logic Hydraulic equipment Hydraulics Inference Neural networks Plowing Proportional integral derivative Software Tillage Tractors
Online-Zugang:	Volltext
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