The control systems we develop can be used for various purposes

​

• Reduce energy consumption

• Improving performance of system

• Higher accuracy

• Control without speed, flux (or other) sensors

• System without manual adjustment

• On-line parameters identification

• Tuning parameters of controllers

• Reduce the commissioning time at the facilities

• Other

Your Control System can include

• Feed-back PID control 

• Feed-forward 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

• Inject special signals for on-line parameters identification

• Other control elements

Our expertise

​

The team's experience in Control System Design is since 2004.

Our engineers:

• Have experience in specialized Matlab toolboxes:

  • Control System Toolbox

  • Robust Control Toolbox

  • Simulink Control Design

  • Simulink Design Optimization

• Have experience in control system design,

• Have experience in control system design for AC and DC electric drives, power systems, power electronics and other industries,

• Have multiphysics knowledge in the fields of electrical engineering, power converter technology, electronics, control systems, mechanics, thermal and other processes. These knowledges allows us to create an adequate model of object under control

• Work closely with industry, and understand production processes.

All this allows us to take a comprehensive approach to solving the problem and find the optimal solution.

​

The developed control algorithm can be

​

• tested immediately with Rapid Control Prototyping using a real-time machine. The control algorithm developed in Simulink is loaded into a real-time machine, which has certain interfaces for communication with the plant, and it can be immediately tested together with the execution equipment. This eliminates the stages of low-level programming (usually C-coding) of the algorithm for the target platform and the development of the hardware. This significantly reduces the development time a new product and the time to market it.

• tested immediately using Hardware-in-the-Loop aproach using a real-time machine and laboratory hardware (motors, converters, etc.). For complex systems, the hardware can be replaced with a second real-time machine. This approach allows you to test the control algorithm in real time (as in real life), to test the control system in boundary modes.

• automatically converted to C-code using Matlab for target controller, hdl code for FPGA, code for PLC and other Matlab supported languages.

Benefits

​

• New value of a product using new features of control system (reduce energy consumption, high system performance, high accuracy etc) 

• Shorten time-to-market

• Fast and easy control system development thanks to special Matlab toolboxes

• Determination of the control system coefficients and set its at the facility (shorten commissioning time)

• The ability to quickly correct the control algorithm and convert to the language of the target platform

​

Typical stages of project

​

• Development the actual plant model 

  • Plant parameter calculation based on documentation

  • Development the plant model 

  • Providing open-loop tests in plant (if available), collecting input/output data

  • Validating the simulation result by open loop tests in plant model, making parameter estimation of the plant model elements (if needed) to fit simulation and experimental transients and static characteristics

• Development the control system

  • Development the control system

  • Tuning the controller and stabilization channels 

  • Simulation with input plant data (if available) and testing signals

• Close-loop testing in the physical plant

  • Implement control algorithm to physical equipment

  • Close-loop testing 

  • Validating the simulation results  

Key projects​

​