PID Steering Control for Lane Keeping Assist based on IMU Sensor and ROS

This study presents the development and implementation of a PID steering control system for lane-keeping assistance using an IMU sensor and ROS (Robot Operating System). The system leverages the capabilities of the Teensy 4.1 microcontroller and the HWT905-TTL IMU sensor to maintain precise steering adjustments, crucial for autonomous vehicle applications. The PID controller, designed to respond dynamically to real-time feedback, ensures that the motor reaches designated target angles, even under varying test conditions. The control system was tuned experimentally to achieve optimal response times, resulting in a rise time of approximately 2 seconds, a steady-state error within ±1-2 degrees, and a maximum overshoot of 4.09%. Performance metrics such as the Integral of Squared Error (ISE) and the Integral of Time-weighted Squared Error (ITSE) further confirmed system accuracy and stability over time. Results indicate that the proposed control system effectively maintains lane-keeping with minimal error, demonstrating potential for future deployment in real-world autonomous driving scenarios. Future work will focus on enhancing system adaptability through advanced tuning techniques and sensor fusion to improve robustness in dynamic environments.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/iceecit63698.2024.10859947
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
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article

PID Steering Control for Lane Keeping Assist based on IMU Sensor and ROS

Khairul Anam, Bambang Wahono, Yanuandri Putrasari, Muhammad Khristamto Aditya Wardana et al.
Advanced Sensor and Control Systems
article

PID Steering Control for Lane Keeping Assist based on IMU Sensor and ROS

Khairul Anam, Bambang Wahono, Yanuandri Putrasari, Muhammad Khristamto Aditya Wardana, Rendra Dwi Firmansyah, Taufik Ibnu Salim, Marco Yosafat Siagian, Philippians Manurung
article en

Abstract

This study presents the development and implementation of a PID steering control system for lane-keeping assistance using an IMU sensor and ROS (Robot Operating System). The system leverages the capabilities of the Teensy 4.1 microcontroller and the HWT905-TTL IMU sensor to maintain precise steering adjustments, crucial for autonomous vehicle applications. The PID controller, designed to respond dynamically to real-time feedback, ensures that the motor reaches designated target angles, even under varying test conditions. The control system was tuned experimentally to achieve optimal response times, resulting in a rise time of approximately 2 seconds, a steady-state error within ±1-2 degrees, and a maximum overshoot of 4.09%. Performance metrics such as the Integral of Squared Error (ISE) and the Integral of Time-weighted Squared Error (ITSE) further confirmed system accuracy and stability over time. Results indicate that the proposed control system effectively maintains lane-keeping with minimal error, demonstrating potential for future deployment in real-world autonomous driving scenarios. Future work will focus on enhancing system adaptability through advanced tuning techniques and sensor fusion to improve robustness in dynamic environments.

Universitas Jember (ID), Institut Teknologi Indonesia (ID), National Research and Innovation Agency (ID)
Affordable and clean energy
Openalex Percentile: Top 68%
Advanced Sensor and Control Systems
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PID Steering Control for Lane Keeping Assist based on IMU Sensor and ROS — Khairul Anam, Bambang Wahono, et al. · (2024) | TGRS Research Map | TGRS