03 — Advanced control & system simulation

Your product's edge is decided in the control loop.

We master both the actuator physics and its control law simultaneously — a combination that allows us to design control in coherence with the real behaviour of the machine. Good control does not just meet the specs: it opens new functions and creates remarkable performance where your competitors stop. From modelling to embedded code deployed on target, we minimise any gap between simulation and the field.

Discuss your project All services

This service is right for you if …

You have no model of your system and want to create one to establish a suitable controller.
Your system does not meet its static or dynamic performance specifications: too slow, unstable, oscillating.
A standard PID is no longer sufficient: non-linear, strongly coupled or variable-behaviour system.
You need to deploy control on embedded electronics and have no expertise in discrete control and Model-Based Design.
You need guaranteed robustness against parametric variations: temperature, wear, variable load.
You are developing a new actuator and want to co-develop the control simultaneously.

Our approach

Modelling & identification Dynamic system model built from physical knowledge or experimental identification on bench: a foundation faithful to reality, the basis for everything that follows.

System simulation Validation of the control architecture, testing of extreme scenarios and regulator sizing under MATLAB/Simulink or SCILAB/Xcos before any hardware or software investment.

Control law synthesis PID, sliding mode, predictive control (MPC), adaptive control, reinforcement learning and policy learning — already applied on real projects, chosen according to the non-linearities of your system.

SIL / HIL validation Full test in virtual environment (SIL) then on simulated hardware (HIL) before deployment on the real target. Zero gap between simulation and field.

Embedded deployment Model-Based Design: clean, maintainable and documented C/C++ code deployed on 8-16-32 bit microcontrollers. Ready for production.

What you receive

Each deliverable is produced in standard formats that your teams can take and evolve independently.

Simulink/Xcos system model — knowledge-based or identified model, documented and delivered.
Embedded C/C++ code — clean, commented, deployed on target, maintainable without Aquila.
SIL / HIL validation report — results, test coverage, edge-case behaviour.
Bench experimental validation report — simulation vs measurement comparison, deviations analysed.
Control law documentation — parameters, tunings, limits and behaviour at extreme conditions.

Model-Based Design Experimental identification 8-16-32 bit microcontroller PID / Fuzzy PID H-infinity control State observer Predictive control (MPC) Adaptive control Nonlinear control Motor control (FOC, 6-STEP) SIL / HIL validation Reinforcement learning

Let us optimise your control law

Share your dynamic performance requirements and embedded constraints. We will propose a suitable control architecture.