scholarly journals Improved energy saving control of IPMSM based on the weighted average current method

2021 ◽  
Vol 7 ◽  
pp. 292-299
Author(s):  
Hanquan Zhang ◽  
Hongyu Zhu ◽  
Dongdong Zhang ◽  
Haisen Zhao ◽  
Yanli Zhang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Weighted Average ◽  
Current Method ◽  
Average Current ◽  
Energy Saving Control

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

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.

Design of Energy-Saving Control Software Algorithms in Large Industrial Network

2014 ◽  
Vol 644-650 ◽  
pp. 828-831
Author(s):  
Wen Lai Liu
Keyword(s):  
Energy Saving ◽  
Control Network ◽  
Fuzzy Pid Control ◽  
Industrial Control ◽  
Genetic Method ◽  
Software Algorithms ◽  
Operation Process ◽  
Industrial Network ◽  
Energy Saving Control ◽  
Industrial Control Networks

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.

Energy Saving Control Strategy for the High-Frequency Start-up Process for Electric Mining Haul Trucks

2018 ◽  
Vol 3 (4) ◽  
pp. 595-606 ◽  
Author(s):  
Yingjie Zhang ◽  
Ying Zhang ◽  
Zhaoyang Ai ◽  
Yun Feng ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
High Frequency ◽  
Start Up ◽  
Energy Saving Control

scholarly journals Energy saving control system development for external lighting

2020 ◽  
Vol 17 (3) ◽  
pp. 1601
Author(s):  
A.A. Ashryatov ◽  
V.G. Kulikov ◽  
A.V. Panteleyev
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Control Systems ◽  
Reactive Power ◽  
System Development ◽  
Economic Effect ◽  
Power Reduction ◽  
Street Lighting ◽  
Lighting Control ◽  
Energy Saving Control

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>

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