首页> 外文会议>IEEE International Conference on Advanced Intelligent Mechatronics >Acceleration-based active vibration control of a footbridge using grey-box model identification
【24h】

Acceleration-based active vibration control of a footbridge using grey-box model identification

机译:基于灰箱模型识别的基于加速度的人行桥主动振动控制

获取原文

摘要

An active vibration control scheme for a footbridge based on grey-box model identification is proposed to reduce pedestrian-induced vibrations. The Carbon Fibre Reinforced Plastic (CFRP) stress ribbon bridge with a span of 13m was built at the Technische Universität Berlin. Its lightness and flexibility result in high vibration sensitivity. The feasibility of the new control approach is demonstrated in simulations using an experimentally validated linear state-space model of the real footbridge. The active forces to control the first three vertical modes are generated by three pairs of pneumatic muscle actuators (PMA) that are installed in the footbridge's handrail. The motion of the bridge is sensed by two accelerometers placed below the bridge deck. To design the control system, a linear grey-box state-space model is determined with the reference forces of the exact I/O-linearization controlled PMAs as inputs and the two vertical accelerations as outputs. Based on the identified model, an observer estimates the vertical modal velocities. After statically decoupling the first three modes by an input transformation, each of these modes is controlled by a delayed velocity feedback to bring modal velocity and control force in phase. Gain and delay of the controllers have been chosen by means of the root locus method.
机译:提出了一种基于灰箱模型识别的人行桥主动振动控制方案,以减少行人引起的振动。柏林理工大学建造了跨度为13m的碳纤维增强塑料(CFRP)应力带桥。它的轻便和柔韧性导致很高的振动敏感性。使用真实行人天桥的经过实验验证的线性状态空间模型进行的仿真实验证明了这种新控制方法的可行性。用于控制前三个垂直模式的作用力由安装在人行天桥扶手中的三对气动肌肉致动器(PMA)产生。桥的运动由放置在桥面板下方的两个加速度计感测。为了设计控制系统,使用精确的I / O线性化控制的PMA的参考力作为输入,而两个垂直加速度作为输出,确定线性灰箱状态空间模型。基于所识别的模型,观察者估计垂直模态速度。通过输入变换将前三个模式静态去耦后,这些模式中的每一个都由延迟的速度反馈控制,以使模态速度和控制力同相。控制器的增益和延迟已通过根轨迹方法进行了选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号