Optimal Sensor-less Control of a Mobile Robot Using Velocity Estimation and LQR-Based Trajectory Tracking

GPA-system is a cost-effective foundation specifically for structures subjected to uplift forces. This experimental investigation examines the efficacy of granular pile anchors (GPAs) in enhancing the uplift capacity of soft cohesive soils, addressing a critical gap in geotechnical engineering for structures requiring tensile resistance. Through systematic laboratory testing of large-scale models, the study evaluates the performance of both individual and grouped GPA configurations (1-12 piles) under centric uplift forces, while assessing the improvement offered by geogrid encasement. Key findings reveal that GPA systems substantially increase uplift resistance, with capacity progression from 881 N for a single pile to 12,023 N for a 12-pile configuration. The research identifies an optimal threshold at 8 piles, beyond which additional capacity gains become marginal. Notably, group systems demonstrate exceptional efficiency (>100%) due to unique soil-pile interaction mechanisms that differ fundamentally from conventional compressive pile behavior. Geogrid reinforcement proves particularly effective, enhancing capacity by 8-52% across configurations while substantially improving displacement characteristics and modifying failure modes. These findings advance the understanding of GPA technology for tensile applications, offering engineers a viable, cost-effective alternative to traditional deep foundation solutions. The results contribute significantly to the development of design methodologies for structures requiring uplift resistance in weak soil conditions.

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Publication Details

Journal
Al Rafidain Journal of Engineering Sciences
Published
2025-08-25
DOI
https://doi.org/10.61268/bqns1z40
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
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article

Optimal Sensor-less Control of a Mobile Robot Using Velocity Estimation and LQR-Based Trajectory Tracking

Al Rafidain Journal of Engineering Sciences
Geotechnical Engineering and Soil Stabilization
article

Optimal Sensor-less Control of a Mobile Robot Using Velocity Estimation and LQR-Based Trajectory Tracking

article en

Abstract

GPA-system is a cost-effective foundation specifically for structures subjected to uplift forces. This experimental investigation examines the efficacy of granular pile anchors (GPAs) in enhancing the uplift capacity of soft cohesive soils, addressing a critical gap in geotechnical engineering for structures requiring tensile resistance. Through systematic laboratory testing of large-scale models, the study evaluates the performance of both individual and grouped GPA configurations (1-12 piles) under centric uplift forces, while assessing the improvement offered by geogrid encasement. Key findings reveal that GPA systems substantially increase uplift resistance, with capacity progression from 881 N for a single pile to 12,023 N for a 12-pile configuration. The research identifies an optimal threshold at 8 piles, beyond which additional capacity gains become marginal. Notably, group systems demonstrate exceptional efficiency (>100%) due to unique soil-pile interaction mechanisms that differ fundamentally from conventional compressive pile behavior. Geogrid reinforcement proves particularly effective, enhancing capacity by 8-52% across configurations while substantially improving displacement characteristics and modifying failure modes. These findings advance the understanding of GPA technology for tensile applications, offering engineers a viable, cost-effective alternative to traditional deep foundation solutions. The results contribute significantly to the development of design methodologies for structures requiring uplift resistance in weak soil conditions.

Al Rafidain Journal of Engineering SciencesVol. 3(2)
Arak University (IR)
Openalex Percentile: Top 64%
Geotechnical Engineering and Soil Stabilization
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Optimal Sensor-less Control of a Mobile Robot Using Velocity Estimation and LQR-Based Trajectory Tracking · Al Rafidain Journal of Engineering Sciences (2025) | TGRS Research Map | TGRS