Proportional Control with Pole-Placement-Tuned Gains for GPS-Based Waypoint Following, Experimentally Validated Against Classical Methods

The paper focuses on the goal point following an algorithm design based on the exact Global Positioning System (GPS) points. In order to achieve that, the first GPS point and initial heading angle are previously calculated by recursively adopting GPS points from the Naver Application Programming Interface (API) map. The GPS points are designated as a goal point in order to follow the mobile platform to the generated path. Simulation and experimental results demonstrate that goal point following logic can be implemented based on the generated path achieved from the map. Furthermore, the goal-point-following method is extended to trajectory tracking by defining the vector rather than the designated goal point. The result is demonstrated through simulation and an experiment with the real mobile platform.

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Publication Details

Journal
Sensors
Published
2025-12-31
DOI
https://doi.org/10.3390/s26010255
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Proportional Control with Pole-Placement-Tuned Gains for GPS-Based Waypoint Following, Experimentally Validated Against Classical Methods

Heonjong Yoo, Wanyoung Chung
Sensors
Control and Dynamics of Mobile Robots
article

Proportional Control with Pole-Placement-Tuned Gains for GPS-Based Waypoint Following, Experimentally Validated Against Classical Methods

Heonjong Yoo, Wanyoung Chung
article en

Abstract

The paper focuses on the goal point following an algorithm design based on the exact Global Positioning System (GPS) points. In order to achieve that, the first GPS point and initial heading angle are previously calculated by recursively adopting GPS points from the Naver Application Programming Interface (API) map. The GPS points are designated as a goal point in order to follow the mobile platform to the generated path. Simulation and experimental results demonstrate that goal point following logic can be implemented based on the generated path achieved from the map. Furthermore, the goal-point-following method is extended to trajectory tracking by defining the vector rather than the designated goal point. The result is demonstrated through simulation and an experiment with the real mobile platform.

SensorsVol. 26(1)
Pukyong National University (KR)
Pukyong National University
Openalex Percentile: Top 35%
Control and Dynamics of Mobile Robots
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