[1]邓子辰,鲁晓旭,魏麟欢..基于精细计算的结构瞬时最优预测控制[J].郑州大学学报(工学版),2007,28(02):97-100.[doi:10.3969/j.issn.1671-6833.2007.02.025]
 Deng Zichen,LU Xiaoxu,Wei Linhuan.Structure instantaneous optimal predictive control based on fine calculation[J].Journal of Zhengzhou University (Engineering Science),2007,28(02):97-100.[doi:10.3969/j.issn.1671-6833.2007.02.025]
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基于精细计算的结构瞬时最优预测控制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
28
期数:
2007年02期
页码:
97-100
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Structure instantaneous optimal predictive control based on fine calculation
作者:
邓子辰鲁晓旭魏麟欢.
西北工业大学,力学与土木建筑学院,陕西,西安,710072;大连理工大学,工业装备结构分析国家重点实验室,辽宁,大连,116023, 西北工业大学,力学与土木建筑学院,陕西,西安,710072
Author(s):
Deng Zichen; LU Xiaoxu; Wei Linhuan
关键词:
瞬时最优预测控制 开闭环控制 精细算法 振动控制 动力学方程
Keywords:
Instantaneous optimal predictive control Open and closed loop control Fine algorithms vibration control Kinetic equations
DOI:
10.3969/j.issn.1671-6833.2007.02.025
文献标志码:
A
摘要:
针对地震激励作用下的结构控制问题,提出一种瞬时最优预测控制算法,该算法采用的开闭环控制策略在控制过程中综合考虑了下一时刻位移、控制力输入能量和地震波能量对结构的影响,解决了传统开闭环控制必须知道整个过程中外扰信息的难题,另外对控制过程中的指数矩阵采用精细积分法来求解,避免求解动力状态矩阵的特征值和特征向量,简化了算法中指数矩阵的计算,提高了计算效率,使得算法具有高效率、高精度、对步长不敏感、无条件收敛的优点.在算例中将文中方法与LQG算法进行了比较,证明了文中算法的有效性且优于LQG算法.
Abstract:

Aiming at the structural control problem under earthquake excitation, an instantaneous optimal predictive control algorithm is proposed, which comprehensively considers the influence of displacement, control force input energy and seismic wave energy on the structure in the control process, which solves the problem that the traditional open-loop control must know the external disturbance information in the whole process, and uses the fine integration method to solve the exponential matrix in the control process to avoid solving the eigenvalues and eigenvectors of the dynamic state matrix. The calculation of the exponential matrix in the algorithm is simplified, and the calculation efficiency is improved, so that the algorithm has the advantages of high efficiency, high precision, insensitivity to step size, and unconditional convergence. In the example, the method in the paper is compared with the LQG algorithm, which proves that the effectiveness of the proposed algorithm is better than the LQG algorithm.
更新日期/Last Update: 1900-01-01