Open AccessConstrained Spacecraft Attitude Optimal Control via Successive Convex Optimization
Author(s) -
Jiayao Wang,
Haibin Shang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2095/1/012039
Subject(s) - nonlinear programming , spacecraft , discretization , mathematical optimization , convexity , optimal control , gauss pseudospectral method , interior point method , convex optimization , nonlinear system , computer science , optimization problem , control theory (sociology) , mathematics , regular polygon , control (management) , engineering , pseudo spectral method , mathematical analysis , fourier analysis , physics , geometry , quantum mechanics , fourier transform , artificial intelligence , financial economics , economics , aerospace engineering
Rapid attitude path planning is the key technique in autonomous spacecraft operation missions. An efficient method is proposed for energy-optimal spacecraft attitude control in presence of constraints. Firstly, Gauss pseudospectral method is utilized to discretize and transcribe the primal continuous problem to a nonlinear programming problem. Then a set of convexification techniques are used to convexity the nonlinear programming problem to a series of second-order cone programming problems, which can be solved iteratively by the interior-point method. A solution to the nonlinear programming problem is obtained as the iteration converges. Numerical results show the method could obtain a valid energy-optimal attitude control plan more rapidly than traditional methods.