Discrete-time flatness-based control for a twin rotor helicopter with an Extended Kalman filter

Hao Sun, S. Butt, H. Aschemann
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引用次数: 5

Abstract

In this paper, a discrete-time flatness-based control for a twin rotor aerodynamic system with two degrees of freedom is proposed that outperforms a standard quasi-continuous implementation, cf. [1]. A control-oriented state-space model is derived using Lagrange's equations. The resulting nonlinear fourth-order model possesses two control inputs, and is affected by two unknown disturbance torques due to modelling simplifications and unmeasurable torques. Accordingly, a discrete-time Extended Kalman Filter is employed to estimate these lumped disturbances and unmeasurable states as well. The proposed control approach in combination with the discrete-time Extended Kalman Filter is implemented and validated on a laboratory test rig. The effectiveness of the discrete-time flatness-based control is highlighted by experimental results showing an excellent tracking behaviour.
基于扩展卡尔曼滤波的双旋翼直升机离散平坦度控制
本文提出了一种基于离散时间平面度的双转子气动系统双自由度控制方法,优于标准的准连续控制方法,参见[1]。利用拉格朗日方程推导了一个面向控制的状态空间模型。所得到的非线性四阶模型具有两个控制输入,并且由于建模简化和不可测量的力矩而受到两个未知扰动力矩的影响。因此,采用离散时间扩展卡尔曼滤波器对这些集总扰动和不可测状态进行估计。将所提出的控制方法与离散时间扩展卡尔曼滤波相结合,在实验室实验台上进行了实现和验证。实验结果表明,基于离散时间平面度的控制具有良好的跟踪性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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