[Paper Review] Analyzing the flight of a quadcopter using a smartphone

Martín Monteiro, Cecilia Stari+2 more|arXiv (Cornell University)|Nov 10, 2015

Experimental and Theoretical Physics Studies4 references3 citations

TL;DR

This paper proposes using a smartphone mounted on a quadcopter to analyze fundamental flight dynamics such as takeoff, landing, and yaw using built-in accelerometer and gyroscope sensors. The key contribution is demonstrating how low-cost consumer devices enable accessible, real-time flight data acquisition for educational and experimental purposes.

ABSTRACT

Remotely-controlled helicopters and planes have been used as toys for decades. However, only recently, advances in sensor technologies have made possible to easily flight and control theses devices at an affordable price. Along with their increasing availability the educational opportunities are also proliferating. Here, a simple experiment in which a smartphone is mounted on a quadcopter is proposed to investigate the basics of a flight. Thanks to the smartphone's built-in accelerometer and gyroscope, take off, landing and yaw are analyzed.

Motivation & Objective

• To explore low-cost, accessible methods for teaching and studying flight mechanics using consumer-grade technology.
• To investigate the feasibility of using smartphone sensors for capturing and analyzing quadcopter flight data.
• To demonstrate how basic flight phases—takeoff, landing, and yaw—can be quantitatively studied using off-the-shelf components.
• To provide an educational experiment that bridges theoretical flight principles with real-world sensor data.

Proposed method

• A smartphone is securely mounted on a quadcopter to serve as a portable sensor platform.
• Built-in accelerometer and gyroscope sensors in the smartphone collect real-time motion data during flight.
• Data acquisition is performed during controlled flight maneuvers, including vertical takeoff, landing, and yaw rotation.
• The raw sensor data is recorded and analyzed to extract motion characteristics such as acceleration and angular velocity.
• Flight phases are identified by analyzing changes in acceleration and rotational rates over time.
• The method relies on standard smartphone sensor APIs and does not require specialized hardware.

Experimental results

Research questions

• RQ1 How accurately can a smartphone’s accelerometer and gyroscope capture the dynamics of a quadcopter during takeoff and landing?
• RQ2 What characteristic patterns in sensor data correspond to distinct flight phases such as yaw rotation?
• RQ3 Can consumer-grade smartphone sensors provide sufficient data resolution for educational analysis of flight mechanics?
• RQ4 How do the sensor readings correlate with theoretical expectations for vertical and rotational motion?

Key findings

• The smartphone’s accelerometer successfully detected the transition from ground to vertical ascent during takeoff, showing a clear increase in upward acceleration.
• Landing was identifiable by a deceleration phase, with the accelerometer recording a negative acceleration as the quadcopter slowed to a stop.
• Yaw maneuvers produced distinct rotational rate signals in the gyroscope data, confirming rotational motion around the vertical axis.
• The sensor data showed consistent patterns across multiple flight trials, indicating reproducibility of the method.
• The overall data quality was sufficient for qualitative and basic quantitative analysis of flight behavior in an educational context.