DocumentCode
2546540
Title
Simulation analysis of control algorithm for smart isolated structure based on Simulink S-Function
Author
Shi, Weixing ; Liu, Kaiyan ; Liu, Yanhui
Author_Institution
Coll. of Civil Eng., Tongji Univ., Shanghai, China
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
1847
Lastpage
1851
Abstract
A new simulation module is created based on the Simulink S-Function to meet the main characteristic of the active sequential optimal control (SOC) algorithm, in which the gain matrix is time variation, and embed into the Simulink Standard Block Library. Based on this new block library, a numerical simulation is carried out on the seismic responses of a five-storey base-isolated frame structure. Six key indices recommended by the ASCE are calculated to evaluate the control effects among the classical optimal control (COC), linear quadratic Gaussian (LQG) control and SOC in the case of the sensors normal working and sensors contaminated by white noise with different magnitudes, respectively. The results show that the new S-Function module is convenient and efficient in implementing a control algorithm simulation, and comparison with other two, the SOC algorithm has the best noise-resisting ability and the stable advantage in overall control effect.
Keywords
linear quadratic Gaussian control; matrix algebra; structural engineering; white noise; Simulink s-function; active sequential optimal control; classical optimal control; control algorithm simulation analysis; five storey base isolated frame structure; linear quadratic Gaussian control; numerical simulation; seismic response; simulink standard block library; smart isolated structure; white noise; Acceleration; Algorithm design and analysis; Analytical models; Civil engineering; Control systems; Displacement control; Force control; Motion control; Numerical simulation; Optimal control; Control algorithm; Simulink S-Function; noise-resisting; sequential optimal control; smart isolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3671-2
Electronic_ISBN
978-1-4244-3672-9
Type
conf
DOI
10.1109/ICIEEM.2009.5344296
Filename
5344296
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