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首页> 外文期刊>IEEE Transactions on Control Systems Technology >Acceleration Feedforward Control in Active Magnetic Bearing System Subject to Base Motion by Filtered-X LMS Algorithm
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Acceleration Feedforward Control in Active Magnetic Bearing System Subject to Base Motion by Filtered-X LMS Algorithm

机译:基于Filtered-X LMS算法的主动磁力轴承系统在基础运动下的加速度前馈控制

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摘要

This brief addresses the application of an active magnetic bearing (AMB) system to levitate the elevation axis of an electro-optical sight mounted on a moving vehicle. In this type of system, it is desirable to retain the elevation axis in an air-gap between magnetic bearing stators while the vehicle is moving. An optimal acceleration feedforward compensator design technique is proposed to attenuate disturbance responses in an AMB system that is subject to base motion. In consideration of the sensitivity of the disturbance compensation performance to the model accuracy, an experimental feedforward compensator is developed from an adaptive estimation by means of the filtered-x least mean square (FXLMS) algorithm. The compensation control is applied to a single degree of freddom (DOF) AMB system subject to base motion. The feasibility of the proposed technique is illustrated, and the results of an experimental demonstration are shown.
机译:本简要内容介绍了主动磁轴承(AMB)系统的应用,以使安装在行驶中的车辆上的电光瞄准器的仰轴悬浮。在这种类型的系统中,期望在车辆行驶时将仰角轴保持在磁性轴承定子之间的气隙中。提出了一种优化的加速度前馈补偿器设计技术,以衰减受基础运动影响的AMB系统中的干扰响应。考虑到干扰补偿性能对模型精度的敏感性,通过滤波x最小均方(FXLMS)算法从自适应估计中开发了实验前馈补偿器。补偿控制应用于受基础运动影响的单频(ADF)AMB系统。说明了该技术的可行性,并显示了实验演示的结果。

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