Considering the whole impact of mechanical and
　　electrical system nonlinearities, the direct feedback
　　linearization (DFL)
　　control strategy was used in the AC all-electrical
　　tank gun control system to achieve a completely
　　dynamic decoupling model. On the
　　basis of DEF, in order to reduce the effect of
　　changes in the system parameters and load torque, an
　　adaptive wavelet neural network
　　compensator to compensate for DEF error is proposed,
　　which can reduce DEF control law reliance on the tank
　　gun system model,
　　and further enhance the speed tracking performance,
　　robustness and adaptive capacity of AC tank gun
　　control system. Computer
　　simulations show that the tracking accuracy is much
　　better and the control system has strong adaptability
　　and robustness.