Open AccessSynthesis of the subsystem of supervision for grinding operation
Author(s) -
A. Kharchenko
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/709/2/022002
Subject(s) - kalman filter , grinding , control theory (sociology) , filter (signal processing) , computer science , riccati equation , process (computing) , state (computer science) , invariant extended kalman filter , coordinate system , object (grammar) , extended kalman filter , control engineering , mathematics , engineering , algorithm , mechanical engineering , control (management) , computer vision , mathematical analysis , artificial intelligence , differential equation , operating system
The article discusses the issues of building a dynamic system for assessing the state of a flat grinding operation, taking into account the statistical characteristics of the disturbances. To build the Kalman-Bucy filter, a program has been developed that allows solving the Riccati equations of the object and the filter. The calculation of the Kalman-Bussy filter coefficients for the stationary mode of the flat grinding process has been performed. This allows you to assess the state of the system in real time, and even in the case of measuring only one coordinate, the filter gives estimates of all coordinates, and the maximum estimation errors do not exceed 10%.