基于混合扩展卡尔曼滤波的垂直起降高度控制转子状态估计

M. Rahmati, Mohammad Reza Arvan, Babak Nadjar Araabi
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引用次数: 1

摘要

本文对八旋翼垂直起降飞机的状态变量进行了估计,并将其用于高度控制的反馈回路中。由于输出测量噪声的存在,测量信号不能直接用于估计和控制。为了研究滤波对系统性能的影响,我们考虑了三种滤波模式,即(1)无滤波,(2)一级低通滤波,(3)混合扩展卡尔曼滤波。无滤波器模式下的系统控制是不利的。存在较大的跟踪误差,控制信号由大幅度的频繁波动组成。在第二种模式下,当使用一阶低通滤波器时,高度参考信号的跟踪条件较好,但控制信号仍然存在较大幅度的频繁波动,无法实现。在第三种模式中,采用混合扩展卡尔曼滤波,对参考信号进行了很好的跟踪,控制信号的状态良好,波动减小,幅度有界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State estimation of VTOL octorotor for altitude control by using hybrid extended Kalman filter
In this paper, state variables of eight-rotor Vertical Take-off and Landing (VTOL) aircraft are estimated and used in the feedback loop for altitude control. Due to output measurement noise, the measured signal cannot be directly used in estimation and control. To study the effect of filtering on system's performance, we consider three modes of filtering, namely, (1) no filter, (2) firstorder low-pass filter, and (3) hybrid extended Kalman filter. System control in the no filter mode is not favorable. There is significant tracking error, and control signal consists of frequent fluctuations with large amplitude. In the second mode, when using first-order low-pass filter, tracking condition of altitude reference signal is better, but the control signal still has frequent fluctuations with large amplitude and could not be implemented. In the third mode, when hybrid extended Kalman filter is used, tracking of reference signal is performed well and the control signal is in good condition with mitigated fluctuations and bounded amplitude.
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