Assisting organisations in accelerating machine software development

  • Setting up tailor-made model-based design workflows to optimize time for development. 

  • Bringing expertise in sensor technology and control design to deliver a working solution, not merely an idea.

  • Engaging in long-term commitments to deliver continued value.

Modeling and Identification

Objectives

  • Mechanical concept validation
  • Parameter determination
  • Improve process understanding

Techniques used

  • Black box identification techniques
  • White box modelling (Simulink/Simscape)
ModelingAndIdent

Software Control Systems

Objectives

  • Design closed loop control systems

  • Test control architectures and parameter settings

  • Software testing (MIL, SIL, HIL)

Techniques used

  • Classic control techniques (PID, fuzzy, etc.)

  • Advanced control techniques (MB control)

SWCntrlSystems

Rapid Prototyping

Objectives

  • Early concept validation

  • Parameter tuning

  • Software testing and validation

Techniques used

  • Hard real-time prototyping with SpeedGoat / dSPACE / Beckhoff / …

  • Soft real-time prototyping on PC

RapidPrototyping

Embedded Code Generation

Objectives

  • Translate Matlab/Simulink models into executable code

  • Minimize integration, maximize development

Tools used

  • Matlab Embedded Coder (C, C++) or Simulink PLC Coder (ST language)

  • dSPACE TargetLink (fixed point c-code)

EmbeddedCodeGen

Data Analysis and Technical Computing

Objectives

  • Data analytics

  • Algorithm design

  • Soft sensing

Tools used

  • Statistical methods

  • Custom Matlab scripts

DataAnalysis
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