A Proposed System for Multi-UAVs in Remote Sensing Operations

Area of Science:

• Robotics and Control Systems
• Aerospace Engineering
• Remote Sensing Technology

Background:

• Multi-unmanned aerial vehicle (UAV) systems are increasingly utilized for complex remote sensing operations.
• Effective control and navigation are critical for mission success, particularly in dynamic environments.
• Existing trajectory planning methods often struggle with multi-region coverage and optimization.

Purpose of the Study:

• To design integrated communication, control, and navigation systems for multi-UAV remote sensing.
• To develop a novel controller for dynamic attitude regulation of UAVs.
• To create an optimized approach for multi-region coverage trajectory planning, addressing the Traveling Salesperson Problem with Chinese Postman Problem (TSP-CPP).

Main Methods:

• A new controller combining a compensator and a nominal controller was designed for UAV attitude regulation.
• A novel algorithm was developed to solve the multi-region coverage trajectory planning task (TSP-CPP).
• Simulations were conducted using Matlab SimScape to test and optimize the integrated system.

Main Results:

• The designed controller demonstrated robust performance in dynamically regulating UAV attitude.
• The proposed navigation approach achieved optimal performance for multi-region coverage trajectory planning.
• Simulations confirmed the effectiveness of the integrated control and navigation strategies.

Conclusions:

• The developed multi-UAV system offers a robust and efficient solution for remote sensing operations.
• The novel control and navigation algorithms significantly enhance the capabilities of UAVs in complex tasks.
• This research provides a foundation for advanced autonomous remote sensing missions.