Open AccessNew Method for Adjusting Coefficients PI Conroller in the Load Control System of the Shearer
Author(s) -
Д. М. Шпрехер,
A. V. Zelenkov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012036
Subject(s) - control theory (sociology) , pid controller , artificial neural network , unobservable , controller (irrigation) , scalar (mathematics) , nonlinear system , transient response , transient (computer programming) , cerebellar model articulation controller , computer science , process (computing) , mathematics , control engineering , control (management) , engineering , artificial intelligence , temperature control , agronomy , physics , geometry , electrical engineering , quantum mechanics , econometrics , biology , operating system
The paper proposes a method using extrapolator models to predict the parameters of the PI controller. With a sudden change in the resistance of coal to cutting, in particular, at different levels of steps and their combinations, the speed of the cutting current controller and current steps also differ, the quieting time of the transient process also occurs in different times. To implement the adjustment of the coefficients of the PI controller, a feed forward artificial neural network is used, which acts as an operational means of recognizing a multidimensional response curve in the control loop. Neural networks of two architectures were used: with a scalar and vector output function. The recognition result is the estimated level of the step in the coal’s resistance to cutting based on the initial counts of the multidimensional response curve at the specified coefficients of the PI controller. The approach proposed in the article can be used in solving other applied problems in which the control object is nonlinear and the control algorithm needs to adapt to the changing unobservable effect on the object.