Simulation &
Modelling

Physics-based modelling, 6-DOF dynamics, real-time synthetic environments and hardware-in-the-loop (HIL) verification for aerospace and complex systems.

6-DOF Dynamics Real-Time Simulation HIL Verification Aerospace Modelling Synthetic Testbeds
FIRST-PRINCIPLES ENGINEERING
Realistic dynamics.
Precision validation.
PHYSICS
First-principles dynamic
REAL-TIME
Sub-millisecond execution
HIL TESTBEDS
Hardware integrated
OVERVIEW

High-fidelity dynamics and deterministic
real-time synthetic environments.

When failure in the physical world carries catastrophic safety or financial consequences, simulation is the primary engineering authority. From space robotics and flight trainers to maritime navigation and medical procedures, simulated environments allow operators to train and engineers to validate control systems long before real-world deployment.

With academic foundations in Aerospace Engineering (B.Sc. & M.Sc. Carleton University) and 27+ years designing real-time simulation software, I build high-performance mathematical models and interactive synthetic environments. My work bridges physical equations of motion, sensor emulation, and real-time networking.

Whether developing Hardware-in-the-Loop (HIL) testbenches or complete training simulators, I ensure every model is calibrated against empirical truth data and executes with deterministic timing guarantees.

WHAT'S INCLUDED

Scope of this service

Depending on your industry application and fidelity requirements, an engagement in Simulation & Modelling covers:

Multi-Body Dynamics & Kinematic Modelling Formulate and code deterministic mathematical models for 6-DOF flight dynamics, robotic manipulators, hydrodynamic vessels, or physiological systems.
Real-Time Simulation Architecture & Protocols Building the real-time loop over UDP, HLA/DIS, or shared memory, with latency guarantees tight enough that the simulation never falls behind the thing it's modelling.
Hardware-in-the-Loop (HIL) & SIL Testbenches Integrate physical controllers, avionics units, and embedded hardware with simulated dynamics to validate firmware before vehicle assembly.
Operator Training Simulator Development Develop full operator consoles, instructor operator stations (IOS), malfunction injection engines, and performance scoring systems.
Model Verification & Truth Data Tuning Checking the model against reality — wind tunnel data, flight test logs, telemetry — until the gap between simulated and actual behaviour is small enough to trust.
OUTCOMES

What you can expect
to achieve.

Every engagement is scoped against specific, measurable outcomes. Here's what tends to change once the dynamics model and the real-time environment are actually solid:

Training Without the Risk Operators get to rehearse failures, emergencies, and edge cases that would be too dangerous or too expensive to run for real.
Hardware Validated Before It's Built HIL testing surfaces control and firmware problems while the fix is still a code change — not a hardware respin.
Models You Can Defend Every result traces back to the underlying physics and the truth data it was checked against, not a black box someone has to take on faith.
Real-Time, No Excuses The simulation runs on the timing the application actually requires, not "close enough" — because for HIL, close enough usually isn't.
TYPICAL ENGAGEMENTS

When organisations
call on this service.

This kind of work tends to come up in a handful of recurring situations:

01

New Vehicle or Robotic Platform

A new airframe, spacecraft, or robotic system needs a dynamics model before the hardware exists. Building the simulation lets design and control work move forward in parallel with fabrication instead of waiting behind it.

02

Pre-Flight or Pre-Deployment Validation

A control law or a piece of firmware needs to be proven safe before it touches real hardware. HIL testbenches put the actual avionics and controllers through simulated flight or operating conditions first.

03

Training Simulator Development

Operators need to rehearse procedures and emergencies that are too costly, rare, or dangerous to practice on the real system. Full training environments with instructor stations and malfunction injection built in.

04

Model Fidelity Disputes

Stakeholders disagree about whether an existing simulation can actually be trusted. Independent validation against truth data, with a clear account of where the model holds up and where it doesn't.