Open Access
Extended object model for grinding operation
Author(s) -
Ekaterina Vladetskaya
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/709/2/022003
Subject(s) - grinding , basis (linear algebra) , computer science , process (computing) , state space representation , filter (signal processing) , representation (politics) , state (computer science) , controller (irrigation) , control theory (sociology) , control engineering , grinding wheel , state space , engineering , algorithm , mechanical engineering , control (management) , mathematics , artificial intelligence , computer vision , agronomy , statistics , geometry , politics , law , political science , biology , operating system
The article discusses the issues of building a dynamic model of a flat grinding operation, taking into account the statistical characteristics of the disturbances. Deviations of the shape of the grinding wheel in a static mode are random in nature and, when analyzing the processing process, can be taken into account by introducing an additional link into the system - the corresponding shaping filter. Such a filter can be built on the basis of profile analysis for any particular grinding wheel with a representation of the effect on the system in the state space as equations of state and observation. On the basis of the developed model for grinding operations in floating workshops, it is possible to use high-precision CNC machines equipped with adaptive control systems based on optimal systems with a stochastic process controller.