Design of intelligent controller for obstacle avoidance and navigation of electric patrol mobile robot based on PLC
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an intelligent controller for electrical inspection robots, enhancing autonomous navigation and obstacle avoidance. The PLC-based system improves inspection efficiency and quality through accurate, fast pathfinding.
Area Of Science
- Robotics and Automation
- Control Systems Engineering
- Electrical Engineering
Background
- Intelligent vision-based obstacle avoidance for patrol robots often lacks dedicated controller modules.
- Existing systems may not fully integrate navigation and obstacle avoidance functionalities efficiently.
Purpose Of The Study
- To design an intelligent controller for autonomous navigation and obstacle avoidance in electrical inspection mobile robots.
- To leverage Programmable Logic Controller (PLC) technology for enhanced robot control.
Main Methods
- Developed a PLC-based intelligent controller integrating sensors, actuators, and a communication module.
- Incorporated a laser range finder for precise positioning and navigation.
- Designed software including a PLC compiler system and a virtual machine module.
Main Results
- The controller successfully enabled autonomous navigation and obstacle avoidance for the mobile robot.
- Demonstrated significant improvements in inspection efficiency and quality.
- Achieved accurate and fast obstacle avoidance maneuvers.
Conclusions
- The proposed PLC-based intelligent controller effectively addresses limitations in current robot obstacle avoidance systems.
- This design facilitates enhanced autonomous capabilities for electrical inspection mobile robots.
- The system offers a robust solution for efficient and safe robotic inspections.
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