Robotized complex control system with a modernized electric drive for calibration and transportation of glass tubes for medical and veterinary purposes

2021 ◽  
pp. 23-35
Author(s):  
V. A. Alekseev ◽  
S. P. Kolosov ◽  
M. E. Seleznev
Keyword(s):  
Control System ◽  
Electric Drive ◽  
Process Technology ◽  
Mechanical Parts ◽  
Complex Control ◽  
Electrical Drives ◽  
Complex Control System ◽  
Glass Tubes

The paper considers the process of automating calibration steklomramor for medical and veterinary industry, with the introduction of the functions of vision and of methods of intellectualization of process technology for control of electrical drives for transportation and the management of mechanical parts, with the purpose of increase of efficiency of functioning of the complex.

Updating a complex control system

2006 ◽  
Vol 9 (6) ◽  
pp. 25-30
Author(s):  
Brinkley ◽  
Gauna ◽  
Montoya ◽  
Yates ◽  
Zizah ◽  
...  
Keyword(s):  
Control System ◽  
Complex Control ◽  
Complex Control System

Fault Detection and Diagnosis for Sensor in Complex Control System Based on KPCA

2014 ◽  
Vol 623 ◽  
pp. 202-210
Author(s):  
Ping Xu ◽  
You Cai Wang ◽  
Kai Wang ◽  
Qiu Yan Wang
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Principal Component ◽  
Kernel Functions ◽  
Fault Detection And Diagnosis ◽  
Kernel Principal Component Analysis ◽  
Practical Result ◽  
Complex Control ◽  
Complex Control System ◽  
Detection And Diagnosis

The Fault detection and diagnosis for sensors are important for the performance of the complex control system seriously. The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high-dimensional feature space by means of integral operators and nonlinear kernel functions. The KPCA method is used in diagnosing for four common sensor faults. At first its fault is detected by Q statistic; secondly its fault is identified by T2 contribution percent change. The simulation and the practical result show the KPCA method has good performance on complex control system in sensor fault detection and diagnosis.

A Design Approach for a Microprocessor Based Complex Control System for Application to a Generator Turbine Unit

1984 ◽  
Vol 17 (2) ◽  
pp. 2759-2764 ◽  
Author(s):  
O.P. Malik ◽  
G.S. Hope ◽  
Yu.M. Gorski ◽  
V.A. Ushakov ◽  
A.L. Rackevich
Keyword(s):  
Control System ◽  
Turbine Unit ◽  
Design Approach ◽  
Complex Control ◽  
Complex Control System
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