Two axis adaptive predictive Fuzzy Logic Controller for a pico-satellite

Abstract

In this paper, extensive simulations of Adaptive Predictive Fuzzy Logic Controller (APFLC) has been made to study the performances of the attitude control system for a Pico-satellite. A fuzzy controller is developed based on optimal control theory. The controller depends on the feedback signal to calculate the torque signal for the actuator of the Pico-satellite. A predictive control is needed to estimate required control torque at the next sampling time since the satellite system is having time delays. The adaptive portion is using a model reference and the response of the satellite is compared to minimize the output error by adapting the adaptive gain to the controller torque. The design schemes of modeling APFLC are described as follow: Basic FLC, Predictive FLC [PFLC) aud APFLC. The second axis system is expressed with coupling effect between orthogonal axes due to magnetic field coupling. The satellite is forced to follow the reference signal and performed two axis slew maneuver to reach the desired attitude in space. The simulation results show that the attitude motion can be controlled with APFLC even in the presence of noise, disturbance and nonlinearity.