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Platform Design and Preliminary Test Result of an Insect-like Flapping MAV with Direct Motor-Driven Resonant Wings
Seung-Hee Jeong1, Jeong-Hwan Kim2, Seung-Ik Choi2
1Department of Aerospace Information Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Biomimetics (Basel, Switzerland)
|January 17, 2023
Summary
This study introduces a novel flapping winged micro aerial vehicle (FMAV) platform using extension springs for a resonant wing-driving system. This design offers easier assembly and improved endurance for robust micro aerial vehicle development.
Area of Science:
- Robotics
- Aerospace Engineering
- Mechanical Engineering
Background:
- Conventional flapping micro aerial vehicles (MAVs) often utilize complex or less durable spring systems.
- Torsion springs in MAVs can be difficult to mount and may have limited endurance.
Purpose of the Study:
- To propose and evaluate a new platform for insect-like flapping MAVs utilizing a resonant wing-driving system with extension springs.
- To demonstrate the feasibility of using extension springs for improved MAV performance and robustness.
Main Methods:
- Development of a flapping winged micro aerial vehicle with a resonant wing-driving system employing extension springs.
- Testing of a prototype FMAVRES to analyze control torque linearity and transient responses.
- Modeling of actuator torque response as a first-order system.
Main Results:
- The proposed resonant driving system using extension springs is easier to mount and offers better endurance than torsion spring systems.
- Generated torques for roll, pitch, and yaw control exhibit linearity with respect to control input signals.
- A prototype FMAVRES weighing 17.92 g achieved a lift force of 21.3 gf at 80% throttle.
Conclusions:
- The developed FMAVRES platform demonstrates effective lift generation and control characteristics.
- The use of extension springs in resonant driving systems is a viable approach for creating simple and robust flapping MAVs.
- Interactions between roll, pitch, and yaw control commands necessitate closed-loop controller compensation for optimal performance.
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