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Stabilization and Control of Quad-Rotor Helicopter Using A Smartphone Device

机译:使用智能手机的四旋翼直升机稳定与控制

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In recent years, autonomous, micro-unmanned aerial vehicles (micro-UAVs), or more specifically hovering micro-UAVs, have proven suitable for many promising applications such as unknown environment exploration and search and rescue operations. The early versions of UAVs had no on-board control capabilities, and were difficult for manual control from a ground station. Many UAVs now are equipped with on-board control systems that reduce the amount of control required from the ground-station operator. However, the limitations on payload, power consumption and control without human interference remain the biggest challenges. This paper proposes to use a smartphone as the sole computational device to stabilize and control a quad-rotor. The goal is to use the readily available sensors in a smartphone such as the GPS, the accelerometer, the rate-gyros, and the camera to support vision-related tasks such as flight stabilization, estimation of the height above ground, target tracking, obstacle detection, and surveillance. We use a quad-rotor platform that has been built in the Robotic Vision Lab at Brigham Young University for our development and experiments. An Android smartphone is connected through the USB port to an external hardware that has a microprocessor and circuitries to generate pulse-width modulation signals to control the brushless servomotors on the quad-rotor. The high-resolution camera on the smartphone is used to detect and track features to maintain a desired altitude level. The vision algorithms implemented include template matching, Harris feature detector, RANSAC similarity-constrained homography, and color segmentation. Other sensors are used to control yaw, pitch, and roll of the quad-rotor. This smartphone-based system is able to stabilize and control micro-UAVs and is ideal for micro-UAVs that have size, weight, and power limitations.
机译:近年来,事实证明,无人驾驶微型无人机(micro-UAV),或更确切地说,是悬停微型UAV,适用于许多有前途的应用,例如未知的环境探索以及搜索和救援行动。早期版本的无人机没有机载控制功能,并且很难从地面站进行手动控制。现在,许多无人机都配备了车载控制系统,可减少地面站操作员所需的控制量。然而,在没有人为干扰的情况下,有效载荷,功耗和控制方面的限制仍然是最大的挑战。本文提出使用智能手机作为唯一的计算设备来稳定和控制四旋翼。目标是使用智能手机中现成的传感器(如GPS,加速度计,速率陀螺仪和相机)来支持与视觉相关的任务,例如飞行稳定,地面高度估算,目标跟踪,障碍物检测和监视。我们使用在杨百翰大学的机器人视觉实验室中构建的四转子平台进行开发和实验。 Android智能手机通过USB端口连接到外部硬件,该外部硬件具有微处理器和电路,以生成脉冲宽度调制信号,以控制四旋翼上的无刷伺服电机。智能手机上的高分辨率相机用于检测和跟踪功能,以维持所需的海拔高度。实施的视觉算法包括模板匹配,Harris特征检测器,RANSAC相似度约束单应性和颜色分割。其他传感器用于控制四旋翼的偏航,俯仰和侧倾。这种基于智能手机的系统能够稳定和控制微型无人机,非常适合尺寸,重量和功率受限的微型无人机。

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