Skip to Main Content
In order to intercept the high-speed maneuverable target in three-dimensional space, a terminal guidance law based on self-tuning fuzzy logic systems is presented. When constructing the model of the relative movement between target and interceptor, guidance knowledge base which including fuzzy data and rules is obtained. Moreover, considering the time-variant and nonlinear factors in the thrust vector control system, the interceptor's mass is identified in real time. By using learning algorithms, the logic rules are also revised correspondingly according to the fuzzy performance index. Simulation results show that this method can implement efficiently the precise guidance of the interceptor as well as preferable robust stability.