Optimization of robot stabilization response with PID control

The stability of balance is needed on tools or workpieces, especially in the field of robotics. In this study, it tries to apply balance stability settings to a robot, namely a two-wheeled balancing robot. This two-wheeled robot balancing is an extension of the inverted pendulum model that is placed on a wheeled carriage. This study applies a control strategy to keep the robot in an upright position and has a fast response to return to a specified point. Robot balancing in this study discusses balancing a robot with two wheels as a balance driver which is located on the right and left of the robot. The concept of balance applied in this research is that the robot will try to balance itself, so that the robot is in an upright position which will continue to be repeated until it finds the desired set point. In order to add a robot that requires controlling a DC motor that has received input from the IMU sensor that can read the angle of the robot. The angular change in the robot is then calculated by the PID to produce a fast and precise response. This process is repeated until the robot is perpendicular to the plane. The test results of the balancing robot with the large PID method, the accuracy of the tool in the trial is believed to be 99.87%, so it can be said that the balancing robot can work well.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-22
DOI
https://doi.org/10.1051/epjconf/202534401059/pdf
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of robot stabilization response with PID control

Firmansyah Adiputra, Ach. Dafid, Faikul Umam, Bintang Nur Alif et al.
Springer Link (Chiba Institute of Technology)
Control and Dynamics of Mobile Robots
article

Optimization of robot stabilization response with PID control

Firmansyah Adiputra, Ach. Dafid, Faikul Umam, Bintang Nur Alif, Hairil Buadiarto, Firman Maolana, Muhammad Fuad
article en

Abstract

The stability of balance is needed on tools or workpieces, especially in the field of robotics. In this study, it tries to apply balance stability settings to a robot, namely a two-wheeled balancing robot. This two-wheeled robot balancing is an extension of the inverted pendulum model that is placed on a wheeled carriage. This study applies a control strategy to keep the robot in an upright position and has a fast response to return to a specified point. Robot balancing in this study discusses balancing a robot with two wheels as a balance driver which is located on the right and left of the robot. The concept of balance applied in this research is that the robot will try to balance itself, so that the robot is in an upright position which will continue to be repeated until it finds the desired set point. In order to add a robot that requires controlling a DC motor that has received input from the IMU sensor that can read the angle of the robot. The angular change in the robot is then calculated by the PID to produce a fast and precise response. This process is repeated until the robot is perpendicular to the plane. The test results of the balancing robot with the large PID method, the accuracy of the tool in the trial is believed to be 99.87%, so it can be said that the balancing robot can work well.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 37%
Control and Dynamics of Mobile Robots
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.

Optimization of robot stabilization response with PID control — Firmansyah Adiputra, Ach. Dafid, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS