LQG PREDICTED CONTROL BASED ON RBF NEURAL NETWORK

被引：0
|
作者：
Liu, Yanhui [1 ,2 ]
Tan, Ping [1 ]
Zhou, Fulin [1 ,2 ]
Du, Yongfeng [3 ]
Yan, Weiming [2 ]
机构：
[1] Guangzhou Univ, State Key Lab Seism Reduct Control & Struct Safet, Guangzhou 510405, Guangdong, Peoples R China
[2] Beijing Univ Technol, Beijing Key Lab Earthquake Engn & Struct Retrofit, Beijing 100124, Peoples R China
[3] Lanzhou Univ Tech, Inst Earthquake Protect & Disaster Mitigat, Lanzhou 730050, Peoples R China
来源：
PROCEEDINGS OF THE TWELFTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING, VOLS I AND II | 2012年
关键词：
Vibration control; time lag; based isolation; LQG Controller; RBFNN;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In order to solve the effect of time lag in the process of structural vibration control, Linear Quadratic Guassian Predicted Controller (LQGPC) is deduced based on RBFNN. This controller can forcaste the control force at next serveral steps according to to-be moment response of controlled structure. Then the signal of control force at next serveral steps was set to control system accroding to time lag of control system. Finally, A five -story smart isolated frame structure is analyzed by adopting the LQGPC in the case of different time lag. Simulation results show that control effects of LQG and LQGPC have the favorable control efficiency and both two algorithms can decrease the response of the structure effectively in the case of no time lag, but LQGPC still has better ability of controlling structural response in the case of different time lag existing in system.
引用
收藏
页码：359 / 365
页数：7
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