Studies and Research on an Inverted Pendulum-Type Mobile Robot

This paper presents a comprehensive study on the development and analysis of a mobile robot based on the inverted pendulum concept, a challenging system due to its inherent instability and non-linear dynamics. The primary objective of the research is to design and implement a control system that ensures the robot's balance and mobility in real-time environments. The inverted pendulum model, commonly used in robotics to test control algorithms, is employed due to its simplicity yet high sensitivity to control inputs. A dynamic model of the system is derived, and various control strategies are explored, including Proportional-Integral-Derivative (PID) control and state-space representation. The robot's mechanical structure, sensor integration, and actuation are designed to support the complex control requirements. Simulation and experimental testing are conducted to validate the effectiveness of the proposed control algorithms, highlighting their performance in maintaining balance under various conditions such as external disturbances and uneven terrain. Results demonstrate that the implemented control system successfully stabilizes the robot, achieving a high degree of accuracy and responsiveness. The article contributes to the field of mobile robotics by providing insights into the control of highly unstable systems and offer potential applications in areas such as autonomous transportation, robotics education, and dynamic balancing devices.

Authors

Institutions

Publication Details

Journal
Journal of Electrical and Electronic Engineering
Published
2024-11-21
DOI
https://doi.org/10.11648/j.jeee.20241205.11
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Studies and Research on an Inverted Pendulum-Type Mobile Robot

Dorin-Mihail Dinulescu
Journal of Electrical and Electronic Engineering
Robotic Path Planning Algorithms
article

Studies and Research on an Inverted Pendulum-Type Mobile Robot

Dorin-Mihail Dinulescu
article en

Abstract

This paper presents a comprehensive study on the development and analysis of a mobile robot based on the inverted pendulum concept, a challenging system due to its inherent instability and non-linear dynamics. The primary objective of the research is to design and implement a control system that ensures the robot's balance and mobility in real-time environments. The inverted pendulum model, commonly used in robotics to test control algorithms, is employed due to its simplicity yet high sensitivity to control inputs. A dynamic model of the system is derived, and various control strategies are explored, including Proportional-Integral-Derivative (PID) control and state-space representation. The robot's mechanical structure, sensor integration, and actuation are designed to support the complex control requirements. Simulation and experimental testing are conducted to validate the effectiveness of the proposed control algorithms, highlighting their performance in maintaining balance under various conditions such as external disturbances and uneven terrain. Results demonstrate that the implemented control system successfully stabilizes the robot, achieving a high degree of accuracy and responsiveness. The article contributes to the field of mobile robotics by providing insights into the control of highly unstable systems and offer potential applications in areas such as autonomous transportation, robotics education, and dynamic balancing devices.

Journal of Electrical and Electronic EngineeringVol. 12(5)
Politecnico di Milano (IT)
Openalex Percentile: Top 78%
Robotic Path Planning Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.