Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Aircraft attitude control method, system and device based on reinforcement learning

A technology of reinforcement learning and attitude control, applied in the field of aircraft control, can solve problems such as loss of control, reduction of aircraft control stability margin, and complex control parameter debugging

Active Publication Date: 2021-04-13
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are disturbances caused by unmodeled dynamics and uncertain items during the flight, such as gusts, parameter perturbations, etc., and time-varying disturbances. The debugging of parameters is more complicated and requires constant trial and error, which leads to a decrease in the stability margin of the aircraft control, and even the risk of loss of control

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
  • Aircraft attitude control method, system and device based on reinforcement learning
  • Aircraft attitude control method, system and device based on reinforcement learning
  • Aircraft attitude control method, system and device based on reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention...

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 belongs to the field of aircraft control, and in particular relates to an aircraft attitude control method, system, and device based on reinforcement learning, aiming at solving the problem of realizing no-overshoot control under a low-precision model. The aircraft attitude control method based on reinforcement learning of the present invention includes: obtaining the aircraft state data at the first moment; calculating the expected attitude angle and the attitude angle tracking error based on the expected flight trajectory of the aircraft, and constructing the network input state at the first moment; The network input state, the desired attitude angle, and the optimal control action are obtained through the DDPG deep reinforcement learning network; the attitude adjustment of the aircraft is performed based on the optimal control action. The invention can realize no overshoot control under the low-precision model, has short adjustment time and small steady-state error.

Description

technical field [0001] The invention belongs to the field of aircraft control, and in particular relates to an aircraft attitude control method, system and device based on reinforcement learning. Background technique [0002] In recent years, aircrafts have been widely promoted and used in civil fields such as agricultural plant protection, power inspection, urban security, forest fire prevention, environmental monitoring, low-altitude aerial photography, and aerial search and rescue, and in military fields such as battlefield environmental reconnaissance, transportation support, and patrol surveillance. The aircraft has the advantages of fast maneuvering speed, wide coverage, the ability to observe the ground situation from the "God's perspective", and quick response to commands. It will become more popular and have richer application scenarios in the future. [0003] Attitude control is the core of aircraft flight control, and its quality directly affects the effect of the...

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): G05D1/08G05B13/02
CPCG05B13/027G05D1/0808
Inventor 丘腾海蒲志强刘振易建强常红星
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products