Optimizing and Integrating Electromechanical Actuators in Agricultural Excavator Booms for Enhanced Efficiency and Battery Longevity

SAVANIU, Ioan Mihail; CHIRIȚĂ, Alexandru-Polifron; POPOVICI, Ioana Aristia; TONCIU, Oana; CULCEA, Magdalena; NEAGU, Ancuta; BLEJAN, Robert; ȘTEFAN, Vasilica

doi:10.35633/inmateh-71-29

INMATEH

2023

DOI: 10.35633/inmateh-71-29

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Optimizing and Integrating Electromechanical Actuators in Agricultural Excavator Booms for Enhanced Efficiency and Battery Longevity

Ioan Mihail SAVANIU,

Alexandru-Polifron CHIRIȚĂ,

Ioana Aristia POPOVICI

et al.

Abstract: The research optimizes electric consumption in agricultural excavator booms by integrating electromechanical actuators and Power-by-Wire technologies. Utilizing a PID controller reduces electric motor peak current consumption, enhancing battery longevity. The research, carried out on a reduced-scale experimental stand, reveals the potential applications of the excavator arm equipment in agriculture, such as the precise location of irrigation systems, arrangement of terraces for orchards or vineyards, setting u… Show more

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2024

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Cited by 2 publications

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To address the issue of mutual influence and coupling between the main shaft speed and feeding amount of the mobile straw compaction molding machine, which is beneficial for the intelligent operation of the compaction molding, this paper designs a PSO-ELM-GPC control model. This model integrates Particle Swarm Optimization (PSO) algorithm, Extreme Learning Machine (ELM), and Generalized Predictive Control (GPC). It uses the ELM optimized by PSO to predict the output of the main shaft speed and feeding amount, and adjusts the input of the GPC controller based on the deviation weight adjustment unit. Field simulation experiments show that the maximum dynamic deviation of the speed is 1.72%, and the deviation from the target value is 1.52%. The maximum dynamic deviation of the feeding amount is 1.22%, and the deviation from the target value is 1.42%. The PSO-ELM-GPC model designed in this paper can promptly correct the uncertainties in speed and feeding amount control caused by disturbances.

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Research on the Control System of Mobile Straw Compaction Molding Machine Based on Pso-Elm-GPC Model

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Integration of Edem by Altair Simulations for Efficient Distribution of Large and Small Seeds in Agricultural Systems of Vineyards and Fruit Trees

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Efficient seed distribution is crucial for maximizing crop yields in agricultural systems, particularly in vineyards and orchards where both large and small seeds are used. This research investigates the integration of EDEM by Altair simulations to enhance the distribution process of these seeds. Utilizing discrete element modeling (DEM), the study provides a comprehensive analysis of seed behavior during dispersal, including interactions with varying terrain and environmental conditions. Through detailed simulations, the research identifies critical parameters that influence seed placement accuracy, such as seed size, distribution patterns, and environmental factors. The results reveal that EDEM simulations can optimize the distribution of seeds, leading to reduced seed wastage and improved crop density uniformity. This integration not only facilitates a more precise sowing process but also offers valuable insights into the dynamics of seed distribution in complex agricultural systems. The findings suggest that adopting this simulation technology can significantly advance precision agriculture practices, offering tangible benefits for the efficiency and productivity of vine and fruit tree cultivation.

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Optimizing and Integrating Electromechanical Actuators in Agricultural Excavator Booms for Enhanced Efficiency and Battery Longevity

Cited by 2 publications

References 13 publications

Research on the Control System of Mobile Straw Compaction Molding Machine Based on Pso-Elm-GPC Model

Research on the Control System of Mobile Straw Compaction Molding Machine Based on Pso-Elm-GPC Model

Integration of Edem by Altair Simulations for Efficient Distribution of Large and Small Seeds in Agricultural Systems of Vineyards and Fruit Trees

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