Building the Future of Modelling & Simulation: From Concept to Capability

In our last Modelling & Simulation (M&S) post, we discussed the why behind M&S in aerospace. Today, we share the how—an overview of the structured roadmap guiding our development of a 6-DOF air vehicle model. Below, we outline the fundamental steps and guiding principles that allow us to turn complexity into clarity:

Problem Framing & Research Guides Model Development

Every robust simulation starts with defining the problem. We began by identifying the need for a generic 6-DOF air vehicle model capable of simulating various flight conditions while adaptable to different vehicle architectures. Through research into existing flight dynamics frameworks, regulatory standards, and use cases, we structure requirements that prioritize modularity and reusability. Leveraging validated platforms ensured our foundation was both agile and credible.

Designing a Validation-Centric Architecture

Simulations are only as strong as their validation. Early in the process, we build a Validation & Verification (V&V) plan to validate model accuracy and then verify outputs against real-world data and engineering expectations. This includes:

• Validating subsystem interoperability for reuse across multiple airframes.
• Cross-checking against established simulation frameworks.
• Simulating edge cases and failure scenarios to ensure robustness.

By embedding V&V into the design phase, we reduce late-stage rework, ensure traceability, and enable certification credit where possible.

Proactive Planning: The Foundation of Structured Development

A clear roadmap is the backbone of structured development. Without a well-defined plan, even the simplest projects risk failure due to unclear objectives, poor resource allocation, or a lack of cohesive direction. Our roadmap emphasizes proactive planning and leverages proven tools to minimize uncertainties from the outset. A modular architecture further supports this approach by enabling systematic development and ensuring potential issues are contained and addressed efficiently, without disrupting the overall project flow. By prioritizing thorough planning and methodical risk management, we maintain control, avoid preventable setbacks, and ensure the project stays on track.

Prioritising Modularity for Cross-Platform Adaptability

To enable reuse across projects, we focus on interoperable interfaces. This meant:

• Defining clear input/output standards for subsystems
• Structuring models as plug-and-play modules

By ensuring compatibility across different platforms, we build a model that can adapt to new vehicles with minimal redesign and rework.

Aligning Documentation with Certification Demands?

Certification requires more than functional models—it demands auditable transparency. We map every function of the 6-DOF model to traceable requirements and document validation outcomes in granular V&V reports. This structured documentation streamlines compliance and future-proofs the model for evolving standards.

Iterating Toward Trustworthy Results?

Verification is iterative, not linear. We plan simulations across nominal and off-nominal generic scenarios, refine models, and benchmark results against real-world data. By openly sharing M&S artifacts (e.g., validation datasets, and test scripts), we foster confidence in the model’s accuracy and scalability.

Why This Approach Matters

Aircraft innovation thrives on structured, repeatable processes. By anchoring our work in a problem-driven approach with modular design, and rigorous validation and verification, we’ve created a framework that accelerates development and maintains traceability while reducing risk. The real win? This model isn’t a one-off—it’s a blueprint for future projects, adaptable to a huge variety of platforms from eVTOLs to hypersonic vehicles.

Let’s continue shaping the future of aerospace engineering—one simulation at a time.

This article is part of our effort to share insights into Modeling & Simulation in aerospace engineering and the role of a structured approach in developing reliable air vehicle models. In future posts, we’ll dive deeper into Avionics and Systems Engineering, Flight Sciences, Loads and Aeroelasticity, and more.

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