Adaptive fuzzy logic controller for innovative satellite

Abstract

This paper evaluates the performance of Adaptive Fuzzy Logic Control (AFLC) in the process of controlling the attitude of an Innovative Satellite (InnoSAT) system. Y-Thompson spin control is adapted to the satellite system as the reference input throughout the simulation. The basic control structure is presented. The selection of the controller parameter, which proved the attitude stabilization of the satellite, has been analyzed. The adaptive fuzzy control compensates for the plant uncertainties and to increase the robustness of the controller. In the proposed controller structure, an adaptive fuzzy control scheme is used to achieve the parameter tuning and the system stability. The adjustment mechanism applied the technique similar to PID controller to minimize the error and brings it to zero. The principles for tuning UOD of the input and output are proposed in this paper. Simulation results demonstrate that the controller able to accomplished precise attitude control based on the proposed method. The results show an AFLC can cope with the varying operating condition.