Improved modeling and active disturbance rejection control of tank gun control system

Abstract

In order to improve the stability control performance of the tank barrel at high speed, a new 2-degree-of-freedom nonlinear dynamics model of yaw and pitch bodies is established, taking into account the 6-degree-of-freedom motion of the tank chassis. By analyzing the direction of the tank barrel in space, the barrel stability control scheme for the tank gun control system with the arbitrary motion of the tank chassis in space is realized. The new dynamics equations of the tank gun control system are established by analytical mechanics. It effectively solves the problem of modeling methods for the tank gun control system in azimuth and elevation when considering the 6-degree-of-freedom motion of tank chassis. Then, an improved active disturbance rejection control strategy for tank gun control system is proposed. A smooth nonlinear function faln(·) is constructed to avoid the switching problem of the function fal(·) at the piecewise points. Next, an improved extended state observer is designed based on the deviation principle by means of the deviation between each state variable and its observation. Afterwards, the stability of the system is analyzed by constructing a Lyapunov function. Simulations were carried out with different input signals to verify the reliability of the dynamics model and control algorithm. The improved active disturbance rejection control has a faster response speed and smaller steady state error. The results show that the stability and tracking performance of the tank gun control system has been improved using the proposed method.

Sliding mode controller with neural network compensation for tank

“…Disturbances to the actuator from external excitations, unmodeled terms in the controller, all of these will change compared to electrohydraulic actuators. Scholars have done a lot of research on how to design a new tank stabilizer for complex tank systems to improve firing accuracy [2].…”

Adaptive Robust Stability Control of All-Electrical Tank Gun Compensated by Radial Basis Neural Network

“…These characteristics seriously affect the firing accuracy of the tank gun. Therefore, the problem of high-precision motion control of all-electric tanks has become a focus of development in countries around the world [2][3]. TGCS is a complex coupled system combining mechanical system and control system [4], which directly affects the firing accuracy of tank guns.…”