Co-design Optimization of a Novel Multi-identity Drone Helicopter (MICOPTER)

Area of Science:

• Aerospace Engineering
• Robotics
• Mechanical Engineering

Background:

• Traditional delivery drones face reliability challenges.
• Existing Unmanned Aerial Vehicles (UAVs) have limitations in versatile flight capabilities.
• The need for enhanced performance and controllability in autonomous delivery systems is critical.

Purpose of the Study:

• To introduce and evaluate a novel hybrid drone concept, MICOPTER, for improved package delivery.
• To investigate the design, performance, and controllability of a multi-identity helicopter.
• To compare MICOPTER's capabilities against existing UAVs for delivery missions.

Main Methods:

• Conceptual design formulation using relevant literature and traditional matching diagram method.
• Multidisciplinary-feasible design matrix and multi-objective optimization for optimal configurations.
• Simulation of flight profiles and non-linear backstepping control for controllability assessment.

Main Results:

• MICOPTER demonstrates enhanced performance and controllability through its hybrid design.
• Optimization achieved configurations maximizing cruise velocity and range.
• Non-linear backstepping control successfully validated stability and trajectory tracking.

Conclusions:

• The MICOPTER presents a novel and capable configuration for autonomous delivery drones.
• The hybrid design offers significant advantages in performance and control.
• This research paves the way for more reliable and efficient drone delivery systems.