Implementing a Control System Framework for Automatic Generation of Manufacturing Cell Controllers

2007 ◽  
Author(s):  
Oscar Ljungkrantz ◽  
Knut Akesson ◽  
Johan Richardsson ◽  
Kristin Andersson
Keyword(s):  
Control System ◽  
Automatic Generation ◽  
System Framework ◽  
Manufacturing Cell ◽  
Cell Controllers

Coordination of Operations by Relation Extraction for Manufacturing Cell Controllers

2010 ◽  
Vol 18 (2) ◽  
pp. 414-429 ◽  
Author(s):  
Kristin Andersson ◽  
Johan Richardsson ◽  
Bengt Lennartson ◽  
Martin Fabian
Keyword(s):  
Relation Extraction ◽  
Manufacturing Cell ◽  
Cell Controllers

scholarly journals Automatic Generation and Evolution of Personalized Curriculum Based on Genetic Algorithm

2019 ◽  
Vol 14 (12) ◽  
pp. 15
Author(s):  
Xiaocong Duan
Keyword(s):  
Genetic Algorithm ◽  
Personalized Learning ◽  
Automatic Generation ◽  
User Model ◽  
Evolution System ◽  
Framework Structure ◽  
System Framework ◽  
Learning Efficiency ◽  
Learning Content ◽  
Generation Technology

In order to solve the automatic generation and evolution of personalized curriculum, the method of using genetic algorithm to realize the evolution of personalized learning content is proposed to solve the dynamic personalized needs of users. Through the research and implementation of personalized curriculum generation technology, firstly, the structures of curriculum generation, genetic algorithm and curriculum scene, as well as the method and technology of personalized curriculum generation and evolution system framework are described in detail. Then, the framework structure based on genetic algorithm is determined, and the user model is updated. Finally, experiments are carried out based on genetic algorithm. The research on the experiment of automatic generation and evolution of personalized curriculum shows that the application of genetic algorithm in the process of curriculum generation and evolution makes students' learning content evolve with the change of their knowledge state in the process of learning, effectively promotes students' interest in learning, and improves learning efficiency and effect.

scholarly journals Analisis Stabilitas Sistem Tenaga Listrik Dengan Automatic Generation Control (AGC) Dua Area Menggunakan Fuzzy Logic Controller

2018 ◽  
Vol 17 (2) ◽  
pp. 263
Author(s):  
Made Dwi Noviantara ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Frequency Response ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Stable State ◽  
Automatic Generation ◽  
Settling Time ◽  
Frequency Control System ◽  
Response Output

The power system must be able to server the load in a sustainable manner with good service quality, such as constant voltage and frequency, quickly stabilized when load changes occur. The control generator automatically changes the frequency to the highest value when the system changes every time. This is called AGC. To keep the frequency in a stable state required frequency control system. Currently developing a lot of control system with fuzzy logic method. The simulation is performed using 5 membership functions and gives a loading of 0.1 pu, using MATLAB-Simulink software. From the analysis result, the comparison of output of frequency response in overshoot condition with conventional method yielded , settling time of 20.5 second. While the fuzzy logic controller method produces frequency response output in the overshoot state that is , settling time is 12 seconds. Whit the fuzzy logic controller method produces better performance and faster than conventional methods.

Topology and Functions of Large-Scale PV Power Station Monitoring and Control System

2013 ◽  
Vol 791-793 ◽  
pp. 857-860
Author(s):  
Hong Chun Yao ◽  
Liang Yin ◽  
Ming Yu Huang
Keyword(s):  
Control System ◽  
Large Scale ◽  
Automatic Generation ◽  
State Assessment ◽  
Automatic Generation Control ◽  
Monitoring And Control ◽  
Power Station ◽  
Monitoring And Control System ◽  
And Control ◽  
Generation Control

According to the development status of large-scale PV power station, this paper expatiates the topology and functions of the monitoring and control system of large-scale PV power station, The system consists of monitoring center, fiber optic ring network and control subnet, and the main functions are SCADA (supervisory control and data acquisition), AGC (automatic generation control), AVC (automatic voltage control), system state assessment, equipment maintenance, and power generation benefit analysis. The system is flexible and reliable, and will promote the efficiency of operation and maintenance of large-scale PV power station.

A Data Acquisition and Control System Framework

1987 ◽  
Vol 20 (5) ◽  
pp. 15-19
Author(s):  
K.H. Clement ◽  
B. Toftegård
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
System Framework ◽  
And Control
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