Control System development

Control System development is part of our core business and we count with an experienced team and many achievements with customers worldwide. We use advanced control system techniques and among them our “Model-based Predictive Control” technique, which we have been implemented in our software solutions. We have successful deployed more than 130 control-related projects since 2009.

Our activities

Thanks to our methodologies, and the model-based predictive control in particular, we are able to manage different control activities:

  • Control design of equipment such as valve, pump, compressor, etc.
  • Control function: functional control (temperature, speed, throughput rate, etc), braking system, driver assistance function, etc.
  • Control of a complex system (air conditioning system, fuel cell system, rolling mill, furnace, etc).
  • System optimization with quality objectives and cost reduction. For instance, energy optimization for a vehicle or the management of a refining unit

At earliest stages of the product development:

  • Feasibility study and specification of control system requirements
  • Accurate control design by systemic modeling to define its software architecture
  • Modeling and identification of the system to be controlled
  • Control design including control algorithms, fault detection and the associated diagnostic system
  • Development of the state chart for operating mode management
  • Validation in simulation (Model In the Loop)
  • Validation using rapid control prototyping solution (dSPACE, NI) to verify the control principles

Embedded system development

We adapt the control model to the industrial constraints:

  • Code generation for the application and SIL validation
  • Integration in the embedded system and HIL validation
  • Final product verification

Operational support

  • Training to application users
  • Application follow-up and maintenance

Methods and tools

Our expert team in control systems has contributed to the development of the Model Based Predictive Control methodology and in particular to the IDCOM-HIECON and PFC (Predictive Functional Control) techniques. This advanced control technique is robust enough to manage the majority of control problems: mono or multi-variable system, complex dynamic behavior, non-linearity, measured disturbances, known setpoint, constraints on the actuators and the state variables.

Cette technique de commande avancée permet de résoudre de façon performante et robuste la majorité des problèmes de commande : système mono ou multi-variables, comportement dynamique compliqué, non linéarités, perturbation mesurée, consigne connue dans le future, ou contraintes sur les actionneurs et sur les variables d’état du système.

We mostly work on a Simulink environment for the control system development and for this purpose we have developed our own product, PhiControl, a Simulink library for the design and simulation of model-based predictive control systems.

Additionally we have our own software products: HIECON for the hierarchical control in the case of multivariable systems and PCR for the predictive control in systems with a single variable.


We propose the following training modules (for more information go to the training) :

Code Description Duration
MPC1 Theory and applications of functional predictive control 2 days
MPC2 Introduction to multi-variable predictive control and practical exercises 3 days
CCS1 Control systems 3 days
DLA1 Dynamic linear system analysis 3 days

Key commercial references

Year Customer Description Manpower
2003-14 Constellium Advanced control of thickness for single and multi-stand rolling mill 1 person
2006-09 PSA Design and validation of a control system for a fuel cell system 28 person.month
2006-08 Valeo Control of a valve of used to manage the cooling system 10 person.month
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