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Modelling and simulation of sensors and sensor systems

Modelling and simulation are important tools for achieving a basic understanding of a sensor idea or a system concept. These tools often serve as support in an iterative process in which modelling and simulation are combined with testing and verification to arrive at the best solution for a given application and area of use.

MEMS gyroscope FEM model
FEM model of a MEMS gyroscope

At RISE, specifically in the Sensor Systems division, we have expertise in modelling and simulation that aims to support the entire development cycle, from applied research and concept ideas to prototyping and product development. Our focus is on sensors and sensor systems in areas such as micro-electromechanical systems (MEMS) and electromagnetism.

Our expertise in system design and sensors, combined with our modelling and simulation know-how, enables us to address multiple phases of development at RISE, from concept study and requirements analysis to system integration and testing. The assignments we take on are often complex, in many cases involving an analysis of a combination of different physical phenomena. The following is a selection of our areas of expertise:

Coil FEM-model
Model of an induction coil for measuring magnetic response
  • Micro-electromechanical systems (MEMS)
    • Accelerometers
    • Gyroscopes
    • Energy harvesters
  • Electromagnetism
    • Magnetic sensors
    • Magnetic nanoparticles
    • Capacitive sensors
    • Coil design
    • Antenna design
    • Impedance spectroscopy
  • Microfluidics
    • Flow design
    • Electromagnetic interaction with fluids
    • Mixing
  • Electronics
    • Analogue circuits
    • ASIC design
    • FPGA
    • Control loops
    • Antennas

Depending on the problem, we use the technique and modelling tools that are fit for the job. Some examples include applied mathematical modelling, statistical modelling, numerical simulation or finite element analysis (FEM).

For FEM simulations, we mainly use COMSOL Multiphysics but we also have experience in ANSYS HFSS.

As regards general numerical simulation, statistical modelling and model-based simulation, we mainly use Matlab, Simulink and Python.

To simulate analogue circuits and systems, we use Spice, CADENCE and ADS. 

Christian Jonasson

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Christian Jonasson

Senior scientist

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