Visual Servo Control Method for Quadrotor UAV Based on Nonsingular Fast Terminal Sliding Mode

A four-rotor UAV and terminal sliding mode technology, which is applied in the direction of non-electric variable control, attitude control, control/adjustment system, etc., can solve problems affecting positioning accuracy, achieve good anti-interference performance, improve robustness, The effect of fast convergence speed

Active Publication Date: 2020-07-21
YANSHAN UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, outdoor autonomous aircraft generally use the GPS system to achieve positioning. However, the strength of the GPS signal greatly affects the positioning accuracy, especially in environments where the GPS is weak or even invalid, such as indoors, caves, and cities with many buildings, a reliable method is needed. To control the autonomous flight of the aircraft, so the visual sensor is favored by the researchers

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visual Servo Control Method for Quadrotor UAV Based on Nonsingular Fast Terminal Sliding Mode
  • Visual Servo Control Method for Quadrotor UAV Based on Nonsingular Fast Terminal Sliding Mode
  • Visual Servo Control Method for Quadrotor UAV Based on Nonsingular Fast Terminal Sliding Mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make the purpose, technical solution and advantages of the present invention clearer, the specific implementation of the NFTSM-based four-rotor UAV visual servo control method of the present invention will be described below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0047] The NFTSM-based four-rotor UAV visual servo control method proposed by the present invention mainly includes four aspects: using a camera and an inertial measurement unit to collect image information, attitude angle and angular velocity information, establishing a virtual camera coordinate system to derive image dynamics, and designing four Rotorcraft position and attitude controller, simulation and experimental verification. The NFTSM-based four-rotor unmanned aerial vehicle vision servo control method of the present invention, it specifically comprises the following steps:

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of flying robot control, and provides a visual servo control method of a quad-rotor unmanned aerial vehicle based on NFTSM, and the method realizes the flying control of the quad-rotor unmanned aerial vehicle by means of an airborne camera and an inertial measurement element under an indoor environment without GPS signals. The technical scheme adopted by the invention is as follows: the visual servo control method of the quad-rotor unmanned aerial vehicle based on the NFTSM comprises the following steps: acquiring image information by using a cameraarranged at the bottom of the quad-rotor unmanned aerial vehicle, and acquiring attitude angle and angular velocity information of the unmanned aerial vehicle by using the inertial measurement element; extracting feature points of the ground target by using a perspective projection method to select proper image features; respectively designing position and attitude controllers of the quad-rotor aircraft according to image features to realize autonomous flight control of the quad-rotor unmanned aerial vehicle; and carrying out simulation and experimental verification. The visual servo controlmethod of the quad-rotor unmanned aerial vehicle based on NFTSM realizes the purpose that the unmanned aerial vehicle realizes autonomous and accurate flight control under the environment of GPS signal loss.

Description

technical field [0001] The invention relates to the technical field of flying robot control, in particular to an NFTSM-based visual servo control method for a quadrotor UAV in an environment where GPS signals are missing. Background technique [0002] Unmanned Aerial Vehicle (UAV) has many advantages and a wide range of applications. It has been widely used in search, rescue, surveillance, aerial photography, remote sensing and other fields. Compared with manned aircraft and fixed-wing UAVs, quadrotor UAVs make it possible to search for narrow spaces due to their small size, vertical take-off and landing, and maneuverability, and it is more convenient to conduct flight tests indoors ; In addition, it is driven by batteries instead of fuel, so even if a collision occurs, it will not pose a serious threat to humans, and its safety has been greatly improved. In recent years, due to its small size, low cost, easy operation, easy maintenance, and adaptability to harsh environmen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 赵广磊陈光博陈健楠赵凯邱学超邱云飞王毅博王艺潞
Owner YANSHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products