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

Terminal iterative learning connection control method

An iterative learning control and iterative learning technology, applied in the field of terminal iterative learning docking control, can solve problems such as control lag, large amount of calculation, and over-control

Active Publication Date: 2018-12-21
BEIHANG UNIV
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practice, conventional feedback control may cause problems such as control lag, over-control, high requirements for sensors, large amount of calculation, and inability to make full use of historical docking experience.

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
  • Terminal iterative learning connection control method
  • Terminal iterative learning connection control method
  • Terminal iterative learning connection control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] Here, taking the docking control of drogue tube-drogue sleeve aerial refueling as an example, the terminal iterative learning docking control method is designed.

[0082] The simulation process is carried out on a computer with a main frequency of 3.4GHz, a memory of 8.00GB, and MatlabR2016b under win7 environment.

[0083] During the docking mission, the tanker keeps flying forward at a constant speed, and the receiver plane approaches the tanker by maneuvering to achieve docking, and then conducts combined flight. The tanker is a KC-135 aircraft, and the oil receiver is an F-16 aircraft. It is the state of the docking system composed of the tanker and the receiver, and the output y=[x e the y e z e ] Tis the distance between the tanker and receiver in the x, y, z directions, and the control input is u=[δ T δ a δ e ] T ,δ T ,δ a ,δ e Input for receiver throttle, aileron and elevator. In the simulation, the docking speed is Butt height is t start =...

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 provides a terminal iterative learning connection control scheme. According to the scheme, optimal control input is given based on a terminal iterative learning control method to realizesuccessful connection. The method is fast and reliable and is feedforward control with learning capability; and moreover, only terminal information is needed, and therefore the problems of control hysteresis, excessive control, a high requirement on a sensor, a large calculation amount, insufficient utilization of historical connection experience and the like possibly caused by conventional feedback control are avoided. The scheme comprises the two steps that first, at a preparation stage, a base function is generated off line, wherein the generation comprises generation of a reference connection track and generation of reference input; and second, at an implementation stage, a terminal iterative learning controller is designed.

Description

technical field [0001] The invention relates to a terminal iterative learning docking control method, which belongs to the technical field of flight control. Background technique [0002] In flight control, especially in multi-aircraft flight, it is often necessary to realize docking tasks between two aircrafts, such as aerial refueling and docking, UAV aerial docking and recovery, space station docking, rotorcraft precision landing and so on. The docking task only requires the final docking to be successful, and there are basically no requirements for the docking process except for safety. The realization of docking is often repetitive, and it may take multiple dockings to finally succeed in docking. In practice, conventional feedback control may cause problems such as control lag, over-control, high requirements for sensors, large amount of calculation, and inability to make full use of historical docking experience. Therefore, we propose a reliable docking control metho...

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
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 全权任锦瑞戴训华蔡开元
Owner BEIHANG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com