A Hybrid Controller Design for Human-Assistive Piloting of an Underactuated Blimp
Meng, Wugang, Wu, Tianfu, Tao, Qiuyang, Zhang, Fumin
–arXiv.org Artificial Intelligence
Abstract--This paper introduces a novel solution to the manual control challenge for indoor blimps. The problem's complexity arises from the conflicting demands of executing human commands while maintaining stability through automatic control for underactuated robots. To tackle this challenge, we introduced an assisted piloting hybrid controller with a preemptive mechanism, that seamlessly switches between executing human commands and activating automatic stabilization control. Our algorithm ensures that the automatic stabilization controller operates within the time delay between human observation and perception, providing assistance to the driver in a way that remains imperceptible. Unmanned aerial vehicles (UAVs) have become increasingly popular in various fields including military, agriculture, and significantly impact human perceptions of event causation transportation.
arXiv.org Artificial Intelligence
Jun-15-2024
- Country:
- Asia > China (0.30)
- North America > United States (0.28)
- Genre:
- Research Report > Promising Solution (0.48)
- Industry:
- Transportation > Air (1.00)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Autonomous Vehicles > Drones (0.48)