In this paper, an algorithm was presented to control
the satellite attitude in orbit in order to reduce the fuel
consumption and increase longevity of satellite. Because of
proper operation and simplicity, fuzzy controller was used to
save fuel and analyze the uncertainty and nonlinearities of
satellite control system. The presented control algorithm has a
high level of reliability facing unwanted disturbances considering
the satellite limitations. The controller was designed based on
Takagi-Sugeno satellite dynamic model, a powerful tool for
modeling nonlinear systems. Inherent chattering related to on-off
controller produces limit cycles with low frequency amplitude.
This increases the system error and maximizes the satellite fuel
consumption. Particle Swarm Optimization (PSO) algorithm was
used to minimize the system error. The satellite simulation results
show the high performance of fuzzy on-off controller with the
presented algorithm.
