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        Sequential approximate optimization on projectile disturbances of the moving tank based on BP neural network

        Yu Chen,Guolai Yang,Honggen Zhou,Quanzhao Sun 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.3

        For the firing accuracy problem of the moving tank with different speed and different road level, the modelling and optimization method of the projectile disturbances of the moving tank under the general driving conditions were studied. A high-dimensional multiobjective optimization method for the projectile disturbances of the moving tank considering the different driving conditions was proposed based on the sequential approximate optimization method. Therein, a projectile disturbance multi-disciplinary simulation model of the moving tank considering multiple nonlinear factors was built and the sliced Latin hypercube design method was introduced to apply the experimental design. On the basis, the BP neural network surrogate model of the projectile disturbances at muzzle-exit of the moving tank under the general driving conditions was established. With the genetic algorithm and the potential optimal criterion, the sample points were updated to improve the accuracy of the surrogate model during the optimization. The optimization results show that the projectile disturbances at muzzle-exit of the moving tank under the general driving conditions were reduced effectively, and the comprehensive firing accuracy of the moving tank was improved. The research can provide a reference for realizing the reasonable match between firing accuracy and mobility of the tank.

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        Adaptive robust target tracking control of marching tank under high-speed maneuvering condition

        Cong Li,Guolai Yang,Xiuye Wang,Yuze Ma,Liqun Wang,Quanzhao Sun 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6

        This paper focuses on the problem of target tracking control of marching tanks under the condition of high-speed maneuver based on sliding mode disturbance observer. First, the dynamic model of marching tank is established by using multi-body dynamics software. The nonlinear factors such as barrel flexibility, clearance between barrel and bushing, and uncertainty sources such as road excitation are considered. Second, the mechatronics model of tank bidirectional stabilization system considering transmission clearance and friction is established in numerical simulation software. Aiming at the tank bidirectional stabilization system, an adaptive robust controller based on sliding mode disturbance observer is designed. Finally, the real-time control and target tracking of the tank bidirectional stabilization system are realized by co-simulation. The results show that the sliding mode disturbance observer improves the stability accuracy of the system by 43.22 %. Comparing the simulation results with the PID control, the controller designed in this paper has the characteristics of rapid tracking speed and high robustness, and the advantage is more obvious under the condition of highspeed maneuver.

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