强大的自适应控制与虫优化算法和干扰观察器来跟踪减震器阻尼器测试台的负载位移
Xiangfei Tao1, Kailei Liu1,2, Dong Han2
1School of Mechanical Engineering, Jiangsu University of Technology, Changzhou, Jiangsu, China.
PloS one
|February 24, 2025
概括
使用由虫优化 (DBO) 和干扰观察器 (DO) 优化的强大的自适应控制器 (RAC) 和干扰观察器 (DO) 的新控制策略显著减少了减震器测试中的跟踪错误. 这种方法提高了对振动减轻应用的位置精度和系统稳定性.
科学领域:
- 机械工程 机械工程
- 控制系统工程 控制系统工程
- 振动分析 振动分析
背景情况:
- 减震器对于减轻桥梁和管道等各种工程应用中的振动至关重要.
- 在测试台上对减震器进行准确的测试对于评估其性能至关重要.
- 现有的试验台控制系统往往会出现严重的位移跟踪错误.
研究的目的:
- 为减震器试验台开发和验证一种新的控制策略,以尽量减少位移跟踪错误.
- 提高用于减震器测试的电动液压伺服控制系统的精度和稳定性.
- 改进减震器的动态和静态特性评估.
主要方法:
- 一个强大的自适应控制器 (RAC) 被开发和优化使用虫优化 (DBO) 算法.
- 一个干扰观察员 (DO) 被集成为准确的外部干扰估计和前补偿.
- 建立了电液伺服系统的数学模型,并使用利亚普诺夫理论验证了稳定性.
- 使用Simulink和AEMSim对拟议的控制策略进行联合模拟和分析.
主要成果:
- 与未优化RAC和传统PID控制器相比,使用DBO和DO的拟议RAC在位置跟踪精度方面表现出卓越的性能.
- 实验结果显示,与未优化的RAC相比,最大位移跟踪错误减少了54.8%,响应速度提高了36.3%.
- 与PID控制相比,拟议的方法实现了67.4%的最小位移跟踪误差的减少和47.7%的响应速度的改善.
结论:
- 新的控制策略显著提高了阻尼器测试台的位置跟踪精度和系统稳定性.
- 将DBO集成用于参数优化和DO用于干扰补偿,可以有效地提高控制性能.
- 拟议的方法为减震器的动态和静态特征评估提供了卓越的解决方案,推进了振动减轻技术.
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