In order to intercept the high-speed maneuverable targets in three-dimensional space, a terminal guidance law based on fuzzy logic systems is presented. After constructing the model of the relative movement between target and interceptor, guidance knowledge base which including fuzzy data and rules is obtained according to the trajectory performance. On the other hand, considering the time-variant and nonlinear factors in the thrust vector control system, the interceptor's mass is identified in real time. By using the learning algorithms, the logic rules are also revised correspondingly to improve 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.
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