旋转的洛伦茨力磁轴承的动力学建模和自适应控制器设计.
Feiyu Chen1, Weijie Wang2, Shengjun Wang2
1Graduate School, Space Engineering University, Beijing 101400, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
这项研究引入了一种新的七度自由度的洛伦茨力磁悬浮平台,以提高卫星态度的机动性和指向精度. 一个RBF神经网络自适应控制器显著提高了指向稳定性和反干扰能力.
科学领域:
- 航空航天工程 航空航天工程
- 控制系统 控制系统
- 应用物理 应用物理
背景情况:
- 敏捷卫星面临的挑战是态度机动性,指向稳定性和准确性.
- 传统的电机平台在解决这些问题方面存在局限性.
研究的目的:
- 提出一个新的稳定平台,使用七度自由度的洛伦茨力磁悬浮.
- 设计一个适应式控制器,用于旋转磁轴承,以提高卫星负载指向的准确性.
主要方法:
- 描述新平台的特性,结构和工作原理,并将其与传统系统进行对比.
- 建立用于旋转磁轴承的转子动力学模型.
- 基于辐射基函数 (RBF) 神经网络的自适应控制器设计,具有电流反内循环.
主要成果:
- 与PID和强大的滑动模式控制器相比,RBF神经网络控制器显示出更高的指向精度和抗干扰能力.
- 拟议的平台显著提高了系统的稳定性,刚性和速度.
结论:
- 新的洛伦茨力磁悬浮平台和RBF神经网络控制器有效地提高了卫星指向的准确性和稳定性.
- 这项技术为激光通信和高分辨率检测等应用提供了强大的解决方案.
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