Self-determination artillery can successfully aim at and destroy the target in time

and accomplish self-defence in a varied environment characterized by a terrain

then take the initiative in battle.Modeling the artillery is easier

but the environment model is very difficult.Regular control strategy can’t solve these problems

so it is difficult to achive the expected results.By using fuzzy logic in data-fusion to realize multi-sensor data-fusion including aiming sight and bearing sensor and environment sensor on the self-determination artillery and construct a high-low rule base

a direction rule base and a trunnion modifying rule base

a fuzzy controller is designed.It provides the control strategy for artillery to make target tracking and accurate shot in uncertain environment.Simulation results demonstrate that the algorithm is feasible and valid.The conclusion can accelerate the realization of artillery digilization and improve the combat ability.