Hardware-in-the-Loop
We create models for HIL
About HIL and how it works
HIL (Hardware-in-the-Loop) is a real-time simulation environment. Due to specialized stands on which the mathematical model of the control object works in real time and DUT (Device under Test) is connected to this stand and controls the object model.
The object is a controller or control unit.
You can easily run thousands of different scenarios to properly test and improve your controller without the cost and time required by real physical testing.
The object is a controller or control unit.
You can easily run thousands of different scenarios to properly test and improve your controller without the cost and time required by real physical testing.
What is HIL modeling?
HIL - the modeling method / technology in which the original system is divided into parts, with one part of the system being simulated numerically on a computer, and the other part being a real physical object. Parts of the system at each step exchange data with each other through a software-hardware interface.
If the physical object is a sufficiently energy-consuming device, then the prefix P (power) HIL is added to the HIL to emphasize the presence of additional problems associated with the need to use current and voltage amplifiers when implementing the hardware-software interface.
The main problem of HIL is associated with the occurrence of a delay in the data exchange between parts of the system, i.e. the original system is different from system divided into parts (HIL system).
Nevertheless, when modeling HIL system, it is strived to ensure that the simulation results are stable and adequate (ideally coincide) with the simulation results of the original system.
The stability and adequacy of the simulation results of a system divided into parts is achieved through the use of various algorithms/methods for stitching simulation results when implementing a hardware-software interface.
At the moment, several algorithms are known: TM, TLM, TFA, PCD, DIM.
We propose our own method, implemented on the basis of the Poincare-Steklov filter, which provides the best results in terms of stability and adequacy of the HIL-system modeling results in comparison with known algorithms, and also allows for a multiport connection between parts of the system.
Nevertheless, when modeling HIL system, it is strived to ensure that the simulation results are stable and adequate (ideally coincide) with the simulation results of the original system.
The stability and adequacy of the simulation results of a system divided into parts is achieved through the use of various algorithms/methods for stitching simulation results when implementing a hardware-software interface.
At the moment, several algorithms are known: TM, TLM, TFA, PCD, DIM.
We propose our own method, implemented on the basis of the Poincare-Steklov filter, which provides the best results in terms of stability and adequacy of the HIL-system modeling results in comparison with known algorithms, and also allows for a multiport connection between parts of the system.
Power HIL also allows you to simulate higher power flows between DUTs, as well as simulated circuits running in a simulator. This capability allows engineers to test multiple systems, including power converters, generators, motors, and PV loads, and benefit from high-precision simulations that provide more flexibility and safety than conventional analog dynamometers and benches.
Where is HIL technology applied?
HIL technology has been implemented in various well-known universal modeling environments.
Around HIL technology, new simulation environments are being developed that specialize in applying HIL technology to various industries.
In addition, we believe that this technology can be successfully used in robotics.
Around HIL technology, new simulation environments are being developed that specialize in applying HIL technology to various industries.
In addition, we believe that this technology can be successfully used in robotics.
- Aircraft industry
- Automotive
engineering - Mechanical
engineering - Energy sector
- Industrial sector
- Oil and gas
sector
Benefits
Our experience has shown several benefits
- Reduction of costs and termsThe solution allows you to identify a huge number of errors in the laboratory.
This will seriously reduce testing time; you will understand what is wrong with your system. - Safe testingYou can introduce any type of error without breaking the real object, but let's see how the controller copes with this malfunction. Emulation allows you to introduce a short circuit or a break, submit incorrect data and so on.
- MultitaskingIf there are several parallel projects, then the solution can be reconfigured extremely quickly and connect another controller for testing.
- Quick collection of important dataThe solution allows you to reproduce the incorrect behavior of the system and identify what led to the failure. At the bench level, you can recreate any external conditions and apply the signals captured during the failure of the real system.
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