Operational Context & Objectives
In mission-critical aerospace and robotic applications, software failure during physical operation carries catastrophic financial and safety consequences. Physical testing of advanced flight and robotic hardware is prohibitively expensive, time-constrained, and dangerous if control algorithms have not been thoroughly proven across edge cases.
Engineering teams required a high-fidelity synthetic plant model capable of simulating complex multi-body kinematics, sensor latency, dynamic environmental disturbances, and actuator faults in hard real time.
Engineering Architecture & Delivery
Leveraging academic foundations in Aerospace Engineering (B.Sc. and M.Sc. Carleton University) and 27+ years in simulation development, I engineered deterministic mathematical simulation software that replicates physical dynamics with rigorous fidelity.
The simulation architecture links mathematical physics engines to physical avionics and controller hardware via low-latency Hardware-in-the-Loop (HIL) interfaces. This enabled the flight software team to execute thousands of automated qualification scenarios including simulated sensor failures, thruster degradation, and extreme atmospheric turbulence long before physical flight.
Explore this consulting service
This project leverages core methodologies from the Simulation & Modelling consulting practice.