scholarly journals ENERGY-SAVING CONTROL OF THE FREQUENCY-REGULATED SYNCHRONOUS ELECTRIC DRIVE OF FLYING SCISSORS IN START-BRAKING REGIMES

2019 ◽  
Vol 3 (47) ◽  
pp. 8-20 ◽  
Author(s):  
V. Volkov ◽  
2018 ◽  
Vol 27 (103) ◽  
pp. 82-90
Author(s):  
L. V. Melnikova, ◽  
◽  
A. I. Shestaka, ◽  
О. G. Kalinin ◽  
◽  
...  

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


2019 ◽  
Vol 5 (1) ◽  
pp. 8-12
Author(s):  
Matkarim Ibragimov ◽  
◽  
Gulnoz Ergasheva

2014 ◽  
Vol 644-650 ◽  
pp. 828-831
Author(s):  
Wen Lai Liu

In the operation process of large industrial control network, with conventional fuzzy PID control algorithm for industrial control networks energy-saving control, excessive industrial networks will aggravate machine wear of the single network, thereby reduce the effect of energy-saving for industrial network. This paper presents an approach for industrial network energy-saving control based on non-uniform data production rate. According to the relationship between the network load and loss, the loss model of industrial control network can be established. Adaptive linear genetic method is utilized to control industrial control network energy-saving load, so as to achieve energy-saving control of industrial control network. Experimental results show that the algorithm can effectively improve the energy-saving efficiency of industrial control network, and achieve satisfactory results.


2018 ◽  
Vol 3 (4) ◽  
pp. 595-606 ◽  
Author(s):  
Yingjie Zhang ◽  
Ying Zhang ◽  
Zhaoyang Ai ◽  
Yun Feng ◽  
Wei Cheng ◽  
...  

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