Neighboring optimal guidance and constrained attitude control applied to three-dimensional lunar ascent and orbit injection

2019 ◽  
Vol 156 ◽  
pp. 78-91 ◽  
Author(s):  
Mauro Pontani ◽  
Fabio Celani
Keyword(s):  
Attitude Control ◽  
Three Dimensional ◽  
Optimal Guidance ◽  
Neighboring Optimal Guidance

scholarly journals Neighboring Optimal Guidance and Constrained Attitude Control for Accurate Orbit Injection

2021 ◽  
Author(s):  
Mauro Pontani ◽  
Fabio Celani
Keyword(s):  
Attitude Control ◽  
Initial Position ◽  
Low Earth Orbit ◽  
Guidance And Control ◽  
Optimal Guidance ◽  
Combined Use ◽  
Upper Stage ◽  
Neighboring Optimal Guidance ◽  
And Control ◽  
Guidance Technique

AbstractAccurate orbit injection represents a crucial issue in several mission scenarios, e.g., for spacecraft orbiting the Earth or for payload release from the upper stage of an ascent vehicle. This work considers a new guidance and control architecture based on the combined use of (i) the variable-time-domain neighboring optimal guidance technique (VTD-NOG), and (ii) the constrained proportional-derivative (CPD) algorithm for attitude control. More specifically, VTD-NOG & CPD is applied to two distinct injection maneuvers: (a) Hohmann-like finite-thrust transfer from a low Earth orbit to a geostationary orbit, and (b) orbit injection of the upper stage of a launch vehicle. Nonnominal flight conditions are modeled by assuming errors on the initial position, velocity, attitude, and attitude rate, as well as actuation deviations. Extensive Monte Carlo campaigns prove effectiveness and accuracy of the guidance and control methodology at hand, in the presence of realistic deviations from nominal flight conditions.

Three-Dimensional Nonlinear Optimal Guidance against Maneuvering Target with Large Initial Heading Error

2022 ◽  
Author(s):  
Hongyan Li ◽  
Shaoming He ◽  
Jiang Wang ◽  
Hyo-Sang Shin ◽  
Antonios Tsourdos
Keyword(s):  
Three Dimensional ◽  
Maneuvering Target ◽  
Optimal Guidance

Distributed Constrained Attitude and Position Control Using Graph Laplacians

2010 ◽  
Author(s):  
Innocent Okoloko ◽  
Yoonsoo Kim
Keyword(s):  
Attitude Control ◽  
Position Control ◽  
Dimensional Space ◽  
Stochastic Matrix ◽  
Three Dimensional ◽  
Laplacian Matrix ◽  
Semidefinite Program ◽  
Graph Theoretic ◽  
Graph Laplacians ◽  
Quadratically Constrained

We present a graph theoretic and optimization based method for attitude and position consensus of a team of communicating vehicles navigating in three dimensional space. Coordinated control of such vehicles has applications in planetary scale mobile sensor networks, and multiple vehicle navigation in general. Using the Laplacian matrix of the communication graph, and attitude quaternions, a synthesis of the optimal stochastic matrix that drives the attitudes to consensus, is done, by solving a constrained semidefinite program. This novel methodology attempts to extend quadratically constrained attitude control (Q-CAC), to the consensus framework. The solutions obtained are used to realize coordinated rendezvous, and formation acquisition, in the presence of static and dynamic obstacles.

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