| 基于粒子群算法的地震模拟振动台参数整定方法 |
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| 引用本文： | 高春华,袁晓波,王洁琼,张永河.基于粒子群算法的地震模拟振动台参数整定方法[J].液压与气动,2021,0(2):114-122. |
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| 作者姓名： | 高春华 袁晓波 王洁琼 张永河 |
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| 作者单位： | 信阳师范学院建筑与土木工程学院, 河南信阳 464000 |
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| 基金项目： | 河南省科技攻关项目(182102210539) |
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| 摘 要： | 在地震模拟振动台控制系统中,常用三参量控制实现加速度信号控制,但目前三参量参数理论整定方法存在效果不佳、智能化程度不高等问题。针对三参量控制参数整定问题,提出一种基于粒子群算法的三参量控制参数整定算法,利用粒子群算法的寻优能力完成三参量参数整定研究。仿真结果显示,与理论值相比,粒子群算法自整定值控制下地震模拟振动台波形复现精度得到提高,表明粒子群算法实现地震模拟振动台三参量控制系统参数整定,算法有效。
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| 关 键 词： | 地震模拟振动台 三参量控制 参数整定 粒子群算法 |
| 收稿时间： | 2020-08-14 |
Parameter Setting of Shaking Table Based on Particle Swarm Optimization |
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| GAO Chun-hua,YUAN Xiao-bo,WANG Jie-qiong,ZHANG Yong-he.Parameter Setting of Shaking Table Based on Particle Swarm Optimization[J].Chinese Hydraulics & Pneumatics,2021,0(2):114-122. |
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| Authors: | GAO Chun-hua YUAN Xiao-bo WANG Jie-qiong ZHANG Yong-he |
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| Affiliation: | College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, Henan464000 |
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| Abstract: | In the shaking table control system, three-variable control is commonly used to realize acceleration signal control, but the current three-variable parameter theoretical tuning method has problems such as poor effect and low intelligence. Aiming at the problem of three-variable control parameter tuning, a three-variable control parameter tuning algorithm based on particle swarm optimization is proposed, and the three-variable parameter tuning research is completed by using the optimization ability of particle swarm optimization. The simulation results show that compared with the theoretical value, the simulation shaking table waveform reproduction accuracy under the control of the particle swarm algorithm self-tuning value is improved, indicating that the particle swarm algorithm achieves the tuning of parameters in the shaking table, the algorithm is effective. |
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| Keywords: | shaking table three-variable control parameter tuning particle swarm optimization |
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