Disturbance Compensation of Anti-aircraft Gun Servo System Based on Single Neuron Adaptive PID Control
In order to improve the anti-disturbance ability and firing accuracy of the self-propelled anti-aircraft gun servo system,a control method based on single neuron adaptive PID is adopted in this paper.The self-learning and self-correcting abilities of neurons are used to improve the control effects,so as to improve the disturbance compensation ability of the servo system.The simulation results show that:the fluctuation range of the output curve of the servo system by this method is reduced by 0.14％,0.65％and 4.72％respectively when the anti-aircraft gun is driving under the class B,class D and class F road surface.Under the condition of sudden disturbance,the time to track the target signal again is shortened by 0.04 s,0.03 s and 0.02 s respectively.According to the experimental data,under the action of single neuron PID controller,when the system is disturbed,it can track the target signal faster,and the steady-state accuracy is higher.
single neuronPID controlservo systemdisturbance compensation
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