基于微分平整度的四旋翼机颤振估计

Juan Medrano, Francisco Yumbla, SeungYeop Jeong, Iksu Choi, Yonghee Park, Eugene Auh, H. Moon
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摘要

在这项工作中,我们提出了一种使用惯性测量单元(IMU)测量来估计多旋翼飞行器惯性抖动的方法,而不需要任何时间导数也不需要电机转速传感器。当姿态估计不可用时,仍可得到用固定车架表示的加速度估计。我们的主要结果来自于车辆动力学的微分平整度特性,它提供了一个将加速度、角速度和推力动力学联系起来的表达式。动态仿真表明,在线速度和角速度分别为2 m/s和2 rad/s时,可以得到合理的加速度估计,并且在速度超过该值时,加速度会下降。所提出的感知模型可用于改善多旋翼飞行器的控制性能或状态估计管道。
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Jerk estimation for quadrotor based on differential flatness
In this work, we propose a method to estimate the inertial jerk of a multicopter vehicle using inertial measurement unit (IMU) measurements, without taking any time derivatives nor the need for motor rpm sensors. If an attitude estimate is not available, a jerk estimate expressed in the vehicle-fixed frame can still be obtained. Our main result comes from the differential flatness property of the vehicle dynamics, which provides an expression that relates jerk with acceleration, angular velocity and thrust dynamics. Dynamic simulation shows that a reasonable estimation of jerk is obtained at linear and angular speed as fast as 2 m/s and 2 rad/s, respectively, and degraded with speed beyond those values. The proposed sensing model could be used to improve control performance or state estimation pipelines in multicopter vehicles.
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