磁流变阻尼器自适应逆控制
Adaptive inverse control of magneto-rheological damper
摘要
针对磁流变阻尼器修正现象模型中使用固定不变的最小二乘等效力拟合,在变化的工作环境中容易引起系统误差的问题。本文使用神经网络建立了磁流变阻尼器的自适应控制模型并进行了数值仿真。进一步通过设置合理的期望阻尼力，运用自适应逆控制方法对磁流变阻尼器的阻尼特性进行了修正。分析和仿真结果表明，本文建立的自适应控制模型精度较高。使用自适应逆控制可以修改磁流变阻尼器的阻尼特性为任意合理模型。Abstract
to fix the error introduce by LMS force which occur in variational working condition, an adaptive model of magneto-rheological (MR) damper is presented in this paper. Based on a appropriate damping function, the damping characteristic of MR damper can be controlled by using the adaptive inverse control method. The numerical results indicate that the control precision of adaptive model of magneto-rheological damper is better than phenomenon model and the adaptive control method can adjust the property of MR damper to a desired function. 关键词
飞行器设计/磁流变阻尼器/自适应控制/神经网络Key words
aircraft design/magnetorheological damper/adaptive inverse control/neural network引用本文复制引用
夏品奇,王唯.磁流变阻尼器自适应逆控制[EB/OL].(2011-03-24)[2025-12-13].http://www.paper.edu.cn/releasepaper/content/201103-964.学科分类
自动化技术、自动化技术设备
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