Study on launch dynamics of the tank marching fire

Liu, Feifei; Rui, Xiaoting; Yu, Hailong; Zhang, Jianshu; Zhou, Qinbo; Zhu, Wei

doi:10.1007/s12204-016-1744-x

Cited by 28 publications

(16 citation statements)

References 2 publications

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“…RMSTMM and NV‐MSTMM have been used for driving and launch dynamics simulations and design of tracked vehicles 32,43 and multiple‐tube launch systems 44 to increase their precision, maneuverability, comfortability, and reliability.…”

Section: Reduced Multibody System Transfer Matrix Methods (Rmstmm)mentioning

confidence: 99%

Multibody system transfer matrix method: The past, the present, and the future

Rui

Zhang

Wang

et al. 2022

Int Journal of Mech Sys Dyn

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116

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The multibody system transfer matrix method (MSTMM), a novel dynamics approach developed during the past three decades, has several advantages compared to conventional dynamics methods. Some of these advantages include avoiding global dynamics equations with a system inertia matrix, utilizing low-order matrices independent of system degree of freedom, high computational speed, and simplicity of computer implementation. MSTMM has been widely used in computer modeling, simulations, and performance evaluation of approximately 150 different complex mechanical systems. In this paper, the following aspects regarding MSTMM are reviewed: basic theory, algorithms, simulation and design software, and applications.Future research directions and generalization to more applications in various fields of science, technology, and engineering are discussed.

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Section: Reduced Multibody System Transfer Matrix Methods (Rmstmm)mentioning

confidence: 99%

Multibody system transfer matrix method: The past, the present, and the future

Rui

Zhang

Wang

et al. 2022

Int Journal of Mech Sys Dyn

Self Cite

116

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“…In order to simulate the driving conditions of the tank, we will establish a three-dimensional road model based on the harmonic superposition method to provide uncertain disturbance for the tank, instead of using white noise 28,29 as a source of interference in numerical simulations.…”

Section: Dynamic Model Of the Tank Stability Control Systemmentioning

confidence: 99%

Adaptive robust control for tank stability: A constraint-following approach

Sun

Yang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article addresses a control problem for tank stability based on constraint following. The objective is to design a control to drive the tank stability control system to follow a pre-specified stability constraint approximately: with the consideration of (possibly) time-varying uncertainty (including system modeling error and road excitation), if the barrel deviates from the target angle, drive it to be arbitrarily close to the target angle; and if the barrel points to the target angle, drive it to stay there. This is formulated as a problem of approximate constraint-following control. First, as the model-based control design object, the dynamic equation of the tank stability control system with the system modeling error and the road excitation is obtained. Second, as the control objective, the stability constraint is formulated. Third, as the control strategy, an adaptive robust control is proposed for approximate constraint following. Fourth, as the control object, a virtual prototype model of tank driving on bumpy road is established with multi-body dynamics software RecurDyn. Finally, real-time servo control and target observation of the tank stability system are performed by co-simulation. It shows that the constraint-following error converges quickly to [Formula: see text] in 1.5 s. By this, the tank stability control system can be always stable even if the tank is driving and disturbed with frequent road excitation.

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“…For example, it was noted (Rui et al, 2008) that for a chain system, the system matrix order depends only on the highest order of the components, so the calculation speed is high. The authors have stated the advantages of the MSTMM in several studies (Abbas et al, 2015; Liu et al, 2016; Rui et al, 2007; Tang et al, 2016). Some researchers (Miao et al, 2019) have argued that the multi-rigid-flexible body dynamics model of the MLRS, established by using the MSTMM, is verified by experiments.…”

Section: Introductionmentioning

confidence: 99%

Simulation and adaptive control of back propagation neural network proportional–integral–derivative for special launcher using new version of transfer matrix method for multibody systems

Miao

Wang

Rui

2019

Journal of Vibration and Control

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Rocket launcher system, as a special launcher placed on tactical vehicles, is a very complex mechanical system with characteristics of strong shock and vibration. In order to improve position accuracy, as well as reduce vibration, this paper creates a nonlinear dynamics model of the launcher system by using a new version of the transfer matrix method for multibody systems. The overall transfer equation of the nonlinear model is deduced. Combining with general kinematics equations of the rocket, the system launch dynamics are simulated and compared with experiments to verify the correctness of the model. On this basis, a backpropagation neural network proportional–integral–derivative adaptive control system is designed to improve servo control of the launcher. Then, the effectiveness of this method is verified by comparing with the traditional proportional–integral–derivative control method. Simulated results show that the backpropagation neural network proportional–integral–derivative control system makes the azimuth and elevation angles reach the target values smoothly and quickly, with higher accuracy. The results prove that the proposed method prominently reduces vibrations of the launcher, by adjusting the control parameters online according to the operation state of the system, presenting a better stability and robustness.

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Study on launch dynamics of the tank marching fire

Cited by 28 publications

References 2 publications

Multibody system transfer matrix method: The past, the present, and the future

Multibody system transfer matrix method: The past, the present, and the future

Adaptive robust control for tank stability: A constraint-following approach

Simulation and adaptive control of back propagation neural network proportional–integral–derivative for special launcher using new version of transfer matrix method for multibody systems

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