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

Path planning optimum control method for deck of ship-based aircraft based on NSP algorithm

A technology of path planning and optimal control, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problem of optimal control without considering path planning, without considering non-holonomic motion constraints, control constraints, precision Not advanced problems, to achieve the effect of solving precise path planning and optimal control problems

Active Publication Date: 2019-11-05
NAVAL AVIATION UNIV +3
View PDF9 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004](1) During path planning, only the problem of how to avoid obstacles and the shortest distance is considered, and the problem of time-energy optimization is not considered;
[0005](2) The optimal control problem of path planning is not considered;
[0006](3) Insufficient consideration of the attitude information of the starting point and the ending point;
[0007](4) Generally, the conditions of nonholonomic motion constraints and control constraints are not considered;
[0008]The optimal control method based on the pseudospectral method mainly has low solution efficiency, low precision, and is prone to "dimension disaster" when there are many matching points Shortcomings

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
  • Path planning optimum control method for deck of ship-based aircraft based on NSP algorithm
  • Path planning optimum control method for deck of ship-based aircraft based on NSP algorithm
  • Path planning optimum control method for deck of ship-based aircraft based on NSP algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0096] First, the obstacle environment is modeled. Assume that there are 7 obstacles in total, obstacle 7 is polygonal, a=34m, b=18m, and other obstacles are circular. The specific parameters are shown in the table below.

[0097] Table 1 Obstacle parameter table

[0098] obstacle Radius (m) Abscissa position Ordinate position 1 8 30 20 2 8 65 85 3 8 65 30 4 8 40 72 5 8 90 50 6 8 -30+0.003t 2

20+0.5t 7 ----- 80 0

[0099] Secondly, according to the shape characteristics of the carrier-based aircraft, the relevant parameters are clarified. For example, the radius is r=10m, the safety distance is dist=2m, and the initial state is X 0 =(0 0 60° 0) T , the state at the end point is X f =(100 100 0° 0) T , L=7m. The state and control variables are constrained in the range: V min = 0m / s, V max = 1m / s, u 1min =-1, u 1max = 1, u 2min =-1m / s 2 , u 2max =1m / s 2 , wk=0.2.

[0100] Then, set the relevan...

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 discloses a path planning optimum control method for a deck of a ship-based aircraft based on an NSP algorithm, and belongs to the technical field of automation and optimum control overship-based aircrafts. Based on analysis of deck path planning of the ship-based aircraft and optimum control over deck path planning, the problem of an original method is solved that path planning andcontrol cannot be combined, and the deficiency is overcome that an obtained path cannot easily meet terminal constraint, and in combination with motion constraint, barrier constraint, control variable and state variable constraint and terminal constraint of sliding of the ship-based aircraft, a path planning optimum control model of the deck of the ship-based aircraft is constructed; based on a Newton iteration method, a symplectic algorithm and a pseudo-spectral method, the NSP algorithm is provided for quickly solving the optimum control model, the problems exist in accurate path planning and control of the deck of the ship-based aircraft are effectively solved, the calculation efficiency and precision are improved, and the obtained path can strictly meet the terminal constraint. According to the path planning optimum control method, a reasonable solution can be provided for the problems existing in path planning and control of the deck of the ship-based aircraft.

Description

technical field [0001] The invention belongs to the technical field of carrier-based aircraft deck path planning, in particular to an optimal control method for carrier-based aircraft deck path planning based on NSP algorithm. Background technique [0002] The optimal control technology for path planning of carrier-based aircraft on the deck mainly includes scene modeling, path planning, and optimal control issues. When designing the optimal control method for path planning, it is necessary to take into account both real-time and accuracy. . [0003] At present, in the path planning of carrier-based aircraft deck, the commonly used methods mainly include: node-based search algorithm, potential field method, and optimal control method based on pseudo-spectral method. However, there are various deficiencies in each system, among which the main defects of the node-based search algorithm and the potential field method are: [0004] (1) During path planning, only the problem of...

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 Applications(China)
IPC IPC(8): G05B13/04G01C21/20
CPCG05B13/042G01C21/20
Inventor 韩维刘洁张勇王昕炜刘纯郭放苏析超
Owner NAVAL AVIATION 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