Fuzzy control of spacecraft attitude by fuzzy inference system based on boolean relations (FIS-BBR)

Author

Gantiva, J. ; Soriano, Javier ; Salazar, O.

Author_Institution

Lab. for Autom. & Comput. Intell., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia

fYear

2014

fDate

24-26 June 2014

Firstpage

1

Lastpage

7

Abstract

This paper shows the design of a fuzzy attitude control for a spacecraft by using FIS-BBR. The proposed controller guarantees stability in the desired state. Also, it is robust in the presence of uncertainty in the model, external perturbations and noise measurement. In addition, a complete linguistic understanding of the structure of the controller is achieved. The control design process is made by using the knowledge about rotations in three dimensions and a compact genetic algorithm. A method to calculate the Jacobian of the system, including the fuzzy control, is proposed. The Jacobian is used to analyze the system stability.

Keywords

Boolean functions; Jacobian matrices; attitude control; control system synthesis; fuzzy control; fuzzy reasoning; fuzzy set theory; genetic algorithms; noise measurement; perturbation techniques; robust control; space vehicles; uncertain systems; Boolean relations; FIS-BBR; Jacobian matrices; compact genetic algorithm; control design process; external perturbation robustness; fuzzy inference system; noise measurement robustness; spacecraft fuzzy attitude control; system stability analysis; three-dimensional rotation; uncertainty robustness; Actuators; Angular velocity; Equations; Jacobian matrices; Mathematical model; Quaternions; Wheels; Boolean logic; attitude control; fuzzy logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/NORBERT.2014.6893859

Filename

6893859