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µADC Models

µADC Models

The Aeroprobe Micro Air Data Computer (μADC) is a critical part of a complete in-flight measurement solution for air data at an unprecedented combination of size and accuracy.

Aeroprobe offers six μADC models well-suited for a wide variety of applications. All models are compatible with Aeroprobe’s Air Data and Pitot-static probes.


Qualified to MIL and DO standards

181 grams
1.1 Watts
66 x 79 x 41 mm


Extended AoA and AoS range

202 grams
1.1 Watts
66 x 79 x 41 mm


Includes integrated AHRS
Qualified to MIL and DO standards

181 grams
1.1 Watts
66 x 79 x 41 mm


The most rugged
Qualified to enhanced standards

220 grams
1.1 Watts
∅95 x 28 mm


Includes integrated GPS/INS

285 grams
1.7 Watts
66 x 79 x 41 mm

Certified Reliability

In addition to being lightweight and cutting-edge, our products are also reliable and expertly engineered. Our µADCs have achieved certifications from independent labs that demonstrate their ability to be operated in harsh conditions, including extreme temperature and vibration environments. Additionally, add-on testing is available for application-specific needs.

The Pegasus, Destiny, and Orion µADC models have achieved MIL-STD 810G, MIL-STD 461F, and FAA DO-160F certifications, which include:

  • Low temperature storage and operation
  • High temperature storage and operation
  • Acceleration
  • Vibration
  • Shock
  • Combined temperature, humidity, and altitude
  • Radiated susceptibility

µADS Specifications

Accessories include a bench-top testing cable. The cable facilitates testing of all the μADC functions in a lab environment before integrating into the aircraft or platform.

For pricing and questions, please contact us.


Air Data Probe

Air Data

Air Data Probe

Heated Air Data

Pitot Probe


Industry Applications

Aerospace Industry

Motor Sports

Unmanned Systems

Wind Power

Case Studies

Area I Case Study

Area I

Air Data Computer Atmospheric Research

Atmospheric Research

Dream Chaser

Dream Chaser

UAV Flight Characterization

Flight Characterization


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