Revolutionising Aerospace with Adaptive Intelligence Our AI technology enhances UAV performance, safety, and efficiency. Our solutions optimise drone operations for industries like cargo delivery, agriculture, and inspection. Discover how adaptive intelligence can transform your aerospace performance.

Our mission is to help UAV manufacturers enhance mission performance and safety

Our advanced flight control technology offers robust autonomous flight control, ensuring successful missions with heavy payloads, even in harsh weather. Improve your fleet performance and safely complete the toughest missions.

Applications of Adaptive
Intelligence for Aerospace

Multi-rotor

Fixed wing

Vertical Take-off
and Landing

Commercial
aviation

Tilt rotor

Unmanned Aerial Vehicles (UAVs), commonly known as drones, have surged in popularity due to their versatility, efficiency, and cost-effectiveness. The energy, construction, agriculture, mining and logistics industries are all employing use cases for commercial drones.

Multi-rotor

Fixed wing

Vertical Take-off and Landing

Commercial aviation

Tilt rotor

Applications of Adaptive Intelligence for Aerospace

To understand more about how Adaptive Intelligence can improve your UAV’s performance, take a look at our free downloadable PDF.
Download Our Free PDF to Learn More

Challenges of Current Flight Control Systems

In most applications, the performance envelope of the drone platform is constrained by the limitations of the flight control system.
  • Operators need to retune the controller for the specifics of each mission. Drone pilots often need to trim thrusters before each flight to match conditions
  • Changes in mission and payload can move the vehicle away from its tuning region, leading to poor flight performance and increased risk of a crash
  • More advanced flight control techniques such as gain scheduling are expensive and difficult to implement. Many advanced techniques can’t be used due to the limited compute space onboard the drone.

  • Legacy flight controllers are often unable to deal with critical component failure, such as the loss of a thruster, leading to loss of the vehicle.

Advantages

Of Adaptive Intelligence for Aerospace

Adaptive Intelligence stands alone as the superior flight control solution across a spectrum of drone applications, including delivery and logistics, industrial and offshore inspections, agriculture, emergency response, mapping & surveying, etc.

Increased Robustness

Handles variations in wind and external disturbances.
More time flying. Less time waiting

Real-time Adaptation Capabilities

Eliminate the need to retune the controller every time the configuration changes.

No need for tuning expertise, fewer risks of tuning errors and better, more consistent flight performance

 

Improved Safety & Fault Tolerance

Fully recovers or degrades gracefully. Reduced risk of damage to people or assets in case of component failure

Power Efficiency

Very little processing power required. No need for specialised AI chipsets. Significant improvements are available at a very small computational cost

Increased Robustness

Handles variations in wind and external disturbances.
More time flying. Less time waiting

Real-time Adaptation Capabilities

Eliminate the need to retune the controller every time the configuration changes.
No need for tuning expertise, fewer risks of tuning errors and better, more consistent flight performance

Improved Safety & Fault Tolerance

Fully recovers or degrades gracefully. Reduced risk of damage to people or assets in case of component failure

Power Efficiency

Very little processing power required. No need for specialised AI chipsets.
Significant improvements are available at a small cost

Disadvantages

Of Classic PID Control

During stable hovering, PID controllers exhibit near ideal performance. However, when exposed to more complex dynamics, a PID controller can be far from optimal. They are unable to dynamically adapt to changes such as the mass distribution of a new or dynamic payload, gusty winds or a component failure during flight.
Performance is only as good as the PID tuning for the vehicle in question. Tuning PID controllers is a time intensive process and often requires a compromise between performance and versatility
It’s often impossible to find a set of controller settings that cover the entire operational envelope of the vehicle. Operators have to live with compromised performance

PIDs can’t easily adapt to a component failure during flight. A rotor failure typically means loss of the vehicle

PID controllers are simple feedback systems and therefore inherently reactive. A PID control system can only react to errors as they occur, it cannot understand context and perform intelligent decision making

Performance is only as good as the PID tuning for the vehicle in question. Tuning PID controllers is a time intensive process and often requires a compromise between performance and versatility

It’s often impossible to find a set of controller settings that cover the entire operational envelope of the vehicle. Operators have to live with compromised performance

PIDs can’t easily adapt to a component failure during flight. A rotor failure typically means loss of the vehicle

PID controllers are simple feedback systems and therefore inherently reactive. A PID control system can only react to errors as they occur, it cannot understand context and perform intelligent decision making

Learn More About Our Technology

How Can Adaptive Intelligence Help Aerospace

Benefits

Flying Without Tuning

Adaptive Neural Systems automatically adapt to in-flight variation such as dynamically changing payloads and variable wind conditions. This eliminates the need for operators to retune PID controllers before a flight. This requires less expertise and eliminates the risk of tuning errors and offers more consistent and better flight performance.

In case of component failure or significant disturbance, the drone is more likely to recover, or to degrade gracefully. This results in reducing the risk of aircraft damage and reduces the risk of harming people or assets in case of failure.
Adaptive AI allows drones to be safely deployed in a wider range of wind conditions by providing increased robustness to variations in wind and external disturbances. We enable more time flying and less time waiting for the right weather.
The improvements from adaptive AI control are available at a very small computational cost, as a simple firmware upgrade using existing off-the-shelf hardware.

Reduces the skill barrier to pilot drones. Allows every pilot to feel like an expert, even in windy conditions.

 

As drones continue to proliferate and diversify, adaptive intelligence is poised to reshape the future of unmanned aerial systems as the premier flight control solution, driving progress and transformation on a global scale. It’s also a key technology to enable routine Beyond Visual Line Of Sight (BVLOS) operations.

Our Adaptive Intelligence system uses AI to enhance drone flight control. By analysing real-time sensor data and adapting to changing conditions, it improves stability, reliability, and safety. This technology enables drones to navigate complex environments more effectively, increasing mission success rates and return on investment.
Adaptive intelligence offers flight control solutions for the main types of UAV configurations such as:
  • Multi-rotors

  • Fixed wing

  • Vertical Take-off and Landing (VTOL)

  • Advanced concepts

Get in Touch

We work with your team to develop system models and a training curriculum that accommodates physical tolerances, safety limits, process scenarios and control uncertainties, while simultaneously and continuously optimising around your value drivers.

Contact Us to Schedule a Consultation

Get in Touch

We work with your team to develop system models and a training curriculum that accommodates physical tolerances, safety limits, process scenarios and control uncertainties, while simultaneously and continuously optimising around your value drivers.

Contact Us to Schedule a Consultation
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