Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device

Article Preview

Abstract:

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

1236-1239

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Marija Trčka, Jan L.M. Hensen. Overview of HVAC system simulation[J]. Automation in Construction, 2010, 19, 93-99.

DOI: 10.1016/j.autcon.2009.11.019

Google Scholar

[2] Jong-Seob, W. Fuzzy Torque Distribution Control Design for a Parallel Hybrid Electric Vehicle. Expert Systems[J], 2002, 19(1): 4-10.

Google Scholar

[3] Jejurikar R, Gup ta R. Energy Aware Task Scheduling with TaskSynchr onizati on for Embedded Real2 Time Systems[J] Computer2Aided Design of I ntegrated Circuits and Systems, IEEE Transac2 tions on, June 2006: 1024 - 1037.

DOI: 10.1109/tcad.2005.855964

Google Scholar

[4] Wang Xiaoying, Zhao Hai, Chen Yingge, et al. Dual Power Aware Task Scheduling in Sensor Network[J]. Acta electronica snica, 2006, 34(5): 798-783.

Google Scholar

[5] R Jejurikar, R Gupta. Energy Aware Task Scheduling with TaskSynchr onizati on for Embedded Real2 Time Systems[J] Computer2Aided Design of I ntegrated Circuits and Systems, IEEE Transac2 tions on, June 2006: 1024-1037.

DOI: 10.1109/tcad.2005.855964

Google Scholar