We develop scientific and state-of-the-art technological solutions

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Our services:

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• Development of Cyber-Physical Systems and Digital Twins

• Control System Design for Power Electronics and Energy Systems. RCP prototyping

• Hardware-in-the-Loop (HIL) testing of Control Systems

• Development of equipment for testing. Automation of Testing and Analysis processes

• Test-Before-Invest service. Technical and Feasibility study

• Optimization of Equipment and Process parameters using simulation, feasibility study

• Consulting and Trainings

• R&D team extension and development support

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Experience.Hardware:

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• HIL and RCP hardware:

  • Typhoon HIL: HIL404, HIL604, HIL606

  • dSPACE: SCALEXIO, Microlabbox

  • Speedgoat Performance Real-Time Target Machine

  • Advantech PCI extension boards + Simulink Desktop Real-Time

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• Embedded systems (automatic C-code generation using Simulink):

  • Texas Instruments processors C2000: F28388D, F28379D, F28027, F2812

  • NXP ARM Cortex-M3

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• FPGA programing using Simulink:

  • Xilinx Kintex-7

  • Xilinx Kintex UltraScale+

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• Linux hardware:

  • Raspberry Pi 4

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• Cloud interface:

  • Grafana

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Experience.Software:

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• Matlab:

  • Simulink

  • Simscape (Specialized Power Systems, Electrical, Driveline etc)​

  • Control System Toolbox

  • Robust Control Toolbox

  • Simulink Control Design

  • Simulink Design Optimization

  • Simulink Desktop Real-Time

  • Simulink Real-Time

  • Stateflow

  • Embedded Coder

  • C2000 Microcontroller Blockset

  • HDL Coder

  • Instrument Control Toolbox

  • Powertrain Blockset

  • Statistics and Machine Learning Toolbox

  • Predictive Maintenance

  • App Designer

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• Typhoon HIL:

  • Schematic editor

  • HIL SCADA

  • Additional tools 

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• PLECS:

  • Standalone software

  • PLECS Blockset

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Control System Design:

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• Power Electronics:

  • Battery energy storage systems

  • AC and DC electric drives

  • Energy generation systems (MPPT, excitation systems of generators)

  • Electrical converters on different topology

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• Energy management systems for hybrid energy systems

 

• Features:

  • Feed-back PID control / Feed-forward control

  • Predictive control

  • Decoupling matrix for feedback controllers calculated using H-infinity optimization method. This is one of approaches provides the robustness of the control system

  • Additional stabilization channels

  • Injection special signals for on-line parameters identification

  • Control system tuning and improving performances 

  • Plant parameters estimation using measured data

  • HIL testing and RCP approaches

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