APPLICATION OF THE FOUR-POLE POINCARE-STEKLOV IN INTERFACE CONSTRUCTION FOR HARDWARE IN THE LOOP SIMULATION

Abstract

The article considers the possibility of using the Poincare-Steklov filter to build an interface
for hardware in the loop (HIL) simulation of system. The Z and Y forms of the filter representation
are given. HIL simulation involves splitting the initial system into parts, with one part being modeled
numerically on a computer, and the second part is represented by a real physical object. The
parts of the system exchange data with each other through a hardware-software interface, which
can be implemented in different ways and should ensure stability, as well as convergence of the
results of HIL simulation to the results of modeling the original system. The variants of constructing
software and hardware interfaces ITM, TLM, TFA, PCD, DIM, GCS and the Poincare-Steklov
filter are described in the relevant literature sources.The article shows how the original nonlinear
system was divided into parts using the Poincare-Steklov filter, which, accordingly, led to the splitting
into parts of the system of equations describing the behavior of the original system. Next, it
was shown how the values of the stabilizing parameters of the Poincare-Steklov filter were calculated
and the systems of equations of the system divided into parts were corrected in accordance
with the obtained values. At the next stage, the article presents the results of numerical modeling
of the initial and partitioned system in MATLAB. When modeling in parts, the parts of the system
exchanged data with each other at each step of the simulation only once with a delay of h. This method of numerical modeling of a system divided into parts is as close as possible to the processes occurring
during semi-natural modeling of systems. A comparison of the obtained simulation results of
the initial and the system divided into parts allowed us to conclude that the Poincare-Steklov filter,
with the correct choice of the values of the stabilizing parameters, allows for the stability and convergence
of the results of semi-natural modeling of both linear and nonlinear systems.