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.