Fuzzy logic techniques for intelligent spacecraft control systems

The paper discusses the synthesis of guidelines to establish techniques to design and develop a fuzzy logic based intelligent spacecraft control system. This fuzzy controller is a knowledge based controller that performs the closed loop operations autonomously either by supervising or replacing the conventional algorithms. It allows the representation of uncertainties of the plant, the treatment of nonlinearities and the generation of smooth control actions. The fuzzy controller can be optimized to meet a prescribed constraint criterion. Using an experienced spacecraft controller (manual) or with the use of computer optimization tools (automatic), it is possible to find the best fuzzy sets of the controller membership functions or the best rule database representing its knowledge