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Parafoil, Paraglider & Kite-Based Flight Systems

Control engineering for parafoil, AWES, and soft-wing aerial systems. Ex-SkySails autopilot team. Available for freelance engagements. Automated guidance, stability, and trajectory control — combining control engineering, aerodynamics, and 1,000+ hours of hands-on flight experience.

Book a 30-min technical fit call

PhD APC/MPC · CERN · IAV · SkySails

Airborne systems

Flight control work where modelling, estimation, and guidance are inseparable

These programmes are not just another controls tuning exercise. The hard part is usually the coupling between wing physics, limited sensing, autonomy logic, and real operational constraints.

This is where the combination matters: advanced control engineering, state estimation, optimisation, and real flight intuition from parafoil and paraglider systems. The goal is not elegant theory in isolation. The goal is a controllable, testable, safety-aware airborne system.

Rafał Noga with a parafoil system in a field test environment
The airborne page should show applied autonomy and flight-test reality, not generic aerospace stock imagery.

Flight Experience

1,000+ hours as a paraglider pilot
~150 hours as a powered paraglider pilot
550+ hours as a sailplane pilot
✈ Designing & building model aircraft since age 7

Control Challenges

  • Highly nonlinear and flexible wing dynamics — far more complex than rigid-body aircraft
  • Unstable flight modes requiring active stabilization under turbulence and wind shear
  • Limited onboard sensing: no rigid IMU mounting, GPS dropout, unreliable airspeed
  • Safety-critical constraints: stall margins, tether tension limits, and structural load factors that must never be violated across the full flight envelope

Focus Areas

Airborne Wind Energy (AWE)

Kite and paraglider-based AWE systems harvest wind at altitudes (200–600 m) inaccessible to conventional turbines. I design trajectory controllers that execute autonomous pumping cycles or continuous crosswind figure-8 patterns, maximizing energy yield while respecting tether tension limits, structural load constraints, and return-to-ground sequences.

Paraglider State Estimation & Flight Control

Designing complete closed-loop flight control systems for paragliders: stability analysis of the nonlinear coupled wing-pilot system, synthesis of stability augmentation controllers, and autonomous trajectory tracking. The work covers the full chain — from sensor fusion and state observer design through to onboard controller deployment — informed by 1,000+ hours of hands-on paraglider flight.

Aerial Autonomy Remote Diagnostic

A fixed-scope review of flight dynamics, sensing, guidance, control architecture, and available test or simulation data. Five working days over 1–2 weeks, fully remote, €4,500 fixed.

Includes a 1-page executive summary, detailed technical report, optional analysis scripts and raw figures, and a 60-minute Q&A call.

Continue implementation or technical leadership through an Advisory Retainer from €4,500/month when useful.

View the Remote Diagnostic View the Advisory Retainer

Selected publications

Open flight-data work

Two public data projects from free flight, built on real flight tracks with the same modelling and data-analysis methods I use in engineering work.

Paragliding

Paragliding XC analysis

Cross-country analysis of real flight tracks: site usage, seasonal patterns and flight performance per takeoff.

Open analysis →

Paramotoring

Paramotoring takeoff map

World map of paramotor takeoffs with pilot traffic and seasonal patterns.

Open map →

Technical Approach

Nonlinear Flight Dynamics Modeling

Physics-based models for flexible-wing systems — capturing spanwise load distribution, canopy twist, and aerodynamic coupling to give the MPC an accurate prediction model.

Trajectory Optimization

Time- and energy-optimal path planning for autonomous soaring, crosswind energy extraction, and return-to-home manoeuvres, including ground-station tether management for AWE systems.

State Estimation & Observer Design

Reconstruct angle of attack, sideslip, canopy load distribution, and apparent wind by fusing accelerometer, GPS, barometric, and line-tension data through Kalman filter and nonlinear observer designs. The estimated state feeds directly into the flight control loop.

Embedded Real-Time Controllers

Deploy solvers on microcontrollers and embedded flight computers meeting hard real-time budgets required for active flight control and autonomous landing.

Practical Model Development

Models as simple as possible — geometry and basic physics for linear feedback design, a minimal nonlinear extension only when simulation validation requires it. Rarely is more complexity justified.

Read the full modelling approach →

Relevant Design Patterns

Book a 30-min technical fit call

I combine deep control engineering expertise with first-hand understanding of paraglider and kite flight dynamics. A 30-minute call is enough to assess your project's feasibility.

Book a 30-min technical fit call →

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