Visual Flight Control of a Quadrotor Using Bioinspired Motion Detector

Author:

Zhang Lei1,Zhang Tianguang1,Wu Haiyan1,Borst Alexander2,Kühnlenz Kolja13

Affiliation:

1. Institute of Automatic Control Engineering (LSR), Technische Universität München, 80290 München, Germany

2. Department of Systems and Computational Neurobiology, Max Planck Institute of Neurobiology, Am Klopferspitz 18, D-82152 Martinsried, Germany

3. Institute for Advanced Study (IAS), Technische Universität München, 80290 München, Germany

Abstract

Motion detection in the fly is extremely fast with low computational requirements. Inspired from the fly's vision system, we focus on a real-time flight control on a miniquadrotor with fast visual feedback. In this work, an elaborated elementary motion detector (EMD) is utilized to detect local optical flow. Combined with novel receptive field templates, the yaw rate of the quadrotor is estimated through a lookup table established with this bioinspired visual sensor. A closed-loop control system with the feedback of yaw rate estimated by EMD is designed. With the motion of the other degrees of freedom stabilized by a camera tracking system, the yaw-rate of the quadrotor during hovering is controlled based on EMD feedback under real-world scenario. The control performance of the proposed approach is compared with that of conventional approach. The experimental results demonstrate the effectiveness of utilizing EMD for quadrotor control.

Funder

DFG Excellence Initiative Research Cluster Cognition for Technical Systems-CoTeSys

Publisher

Hindawi Limited

Subject

General Earth and Planetary Sciences,General Engineering,Instrumentation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Biologically inspired compound eye;Fourteenth International Conference on Correlation Optics;2020-02-06

2. Reduced-Order Observer Based Sliding Mode Control for a Quad-Rotor Helicopter;Journal of Robotics and Mechatronics;2016-06-17

3. Intelligent Control System Design of a Unmanned Quadrotor Robot;Applied Mechanics and Materials;2014-04

4. A Collision Control Strategy for Multiple Moving Robots;Advances in Intelligent Systems and Computing;2013

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