ROBUST ATTITUDE-CONTROL OF SPACECRAFT USING SLIDING MODE CONTROL AND PRODUCTIVE NETWORKS

A new robust attitude control design of spacecraft is proposed by comb ining sliding mode control (SMC) and productive networks (PN). Essenti ally, the sliding mode control uses discontinuous control action to dr ive state trajectories toward a specific hyperplane in the state space , and to maintain the state trajectories sliding on the specific hyper plane. This principle provides a guideline to design a robust controll er. Productive networks, which are a special type of artificial neural network, are then used to implement reaching and sliding conditions, and tackle the drawbacks of SMC such as chattering and high control ga ins. Attractive features of the proposed method include a systematic p rocedure of controller design, a reduction in chattering, robustness a gainst model uncertainties and external disturbances. An inverted pend ulum and a spacecraft attitude control problem are given to deomonstra te the effectiveness of the proposed method.