Artillery structural dynamic responses uncertain optimization based on robust Nash game method

Fengjie Xu,Guolai Yang,Liqun Wang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.9

To coordinate the contradiction between artillery launching performance indexes under parameter uncertainty, this paper proposes an artillery structural dynamic responses optimization method based on robust Nash game theory. First, a multi-flexible body dynamic model for a 155 mm caliber artillery is established, which coupling the interior ballistic model, recoil force model, and balance mechanism model. Secondly, the live firing experiment is carried out to verify the accuracy of the established multi-flexible model. Then the muzzle vibration and maximum chamber pressure are selected as the players in the game. Because these two indexes can represent the most critical contradictory indexes of artillery, namely the firing accuracy and power. Afterward, to reduce the computational time, the BP neural network surrogate model is constructed to replace the original multi-flexible body dynamic model. Finally, the double-loop approach is adopted to search for the robust Nash equilibrium. The inner loop optimization is used to determine the worst-case scenario caused by the parameter uncertainty. The outer loop optimization is referred to as the robust Nash equilibrium solution process. The results show that the artillery structural dynamics responses have been significantly improved.

Electromagnetic Counter-recoil Mechanism Based on Adaptive Sliding Mode Control

Wenbin Yu,Guolai Yang,Liqun Wang,Lei Li,Hongyi Zhang 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.9

Traditional counter-recoil machines always have problems of difficulty in adjusting the movement process flexibly, maintenance difficulties, and so on. To end these, this paper proposes a new electromagnetic counterrecoil scheme using cylindrical linear motors. Firstly, the mathematical expression of counter-recoil movement under the linear motor is formulated, and the ideal movement trajectory is designed using the piecewise polynomial of velocity based on acceleration. To obtain a better performance, of the motor controller, a composed approach of an adaptive sliding mode control based on barrier function (BFASMC) and the finite-time disturbance observer (FTDO) is introduced into the modeling and computation. The stability of the controller is proved by establishing the Lyapunov function. The new adaptive laws based on the barrier function effectively make up for the shortcomings of the exponential function and improves control chattering. At last, the new scheme is simulated. The results show that it has a strong robustness and anti-interference ability.

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.

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.

A tubular linear motor structure suitable for large thrust

Wenbin Yu,Guolai Yang,Zixuan Li,Dianrong Wang,Xiuye Wang 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.11

In response to the problem that the motor shaft of conventional tubular linear motor is prone to bending, this paper proposes a new tubular linear motor structure for large thrust demand. Bending of the motor shaft can lead to collisions between structures and affect motor performance, and traditional air-gap structures cannot effectively handle this problem. The stator of the new motor is divided into an inner and outer cylinder structure. The armature windings are arranged between the inner and outer cylinders. The permanent magnets are arranged on the motor shaft. After analysis, the structural proposed in this paper can well stop the bending of the motor shaft. It also effectively improves the problem of large fluctuations in the thrust of linear motors. Finally, it is concluded that the peak motor thrust is maximized when the material with low permeability is chosen for the inner cylinder.

Neural adaptive pointing control of a moving tank gun with lumped uncertainties based on dynamic simulation

Yu Chen,Youhui Cai,Guolai Yang,Honggen Zhou,Jinfeng Liu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6

This study focuses on the pointing control problem of a moving tank gun. Model uncertainty and foundation vibration, which may be nonlinear, coupled, or time-varying but bounded, are considered. First, the electrohydraulic servo system of a vertical stabilizer is constructed as a nonlinear dynamic system with lumped uncertainties. Second, a neural adaptive controller is proposed to improve the control performance of the vertical stabilizer. A backpropagation neural network is introduced to compensate for the uncertainties, and its weight and threshold values are self-tuned online. Third, a co-simulation model of the moving tank is established. Dynamic simulation verifies that the proposed controller exhibits better performance than typical controllers. Finally, the influence of hull foundation vibration on the proposed controller is analyzed. The pointing accuracy of a moving tank gun is verified to be controlled effectively by the proposed controller under different driving conditions. This work combines control theory with multi-body dynamics to provide a feasible solution for the pointing control problem of a moving tank with model uncertainty and foundation vibration.

A Novel Design of Permanent Magnet Linear Synchronous Motor with Reduced End Effect

Wu Qingle,Wang Liqun,Yang Guolai,Tang Enling,Li Lei,Al-Zahrani Ahmed 한국전자파학회 2023 Journal of Electromagnetic Engineering and Science Vol.23 No.2

In response to the end effect of the permanent magnet linear synchronous motor, this paper proposes an improved modular motor structure. To compute its electromagnetic characteristics, a subdomain model that converts the Cartesian coordinate system into a polar coordinate system through coordinate transformation is further formulated, thus significantly reducing programming difficulty. The analytical results are compared with those of the finite element method and indicate that the subdomain model can accurately consider the effects of end and flux barriers. Moreover, the magnetic field distribution inside the motor is applied to explain the end force abatement, and the suggested flux barrier width is obtained. Finally, the modular structure is applied to a 9-slot, 10-pole permanent magnet linear synchronous motor. The simulation results show that the modular structure can effectively suppress the end effect of the linear motor, and the proposed subdomain model applies to the design of the modular motor.

Adaptive robust control for fully electric pitch system of tank with dynamic friction compensation

Darui Lin,Xiuye Wang,Guolai Yang,Shusen Yuan,Qinqin Sun 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10

This article addresses a problem of dynamic friction compensation for fully electric pitch system of tank based on modified LuGre model. Aiming to design a controller to realize friction modeling and compensating of fully electric pitch system of tank in large range of motion speeds. First, a nonlinear mathematical model including modified friction model and time-varying disturbance is established for fully electric pitch system of tank. Second, a disturbance compensation robust feedback term is designed to compensate the time-varying disturbance to reduce the impact of the disturbance on the control performance by adaptive estimation of the upper bound of the unmodeled disturbance. Third, the uncertainty parameters and friction state of the system are estimated and the adaptive control law combined with friction compensation is designed to reduce the sensitivity of the system to parameter uncertainty and nonlinear friction. Fourth, the global stability of the system is proved by Lyapunov stability theory. Finally, a virtual prototype model of tank moving based on friction disturbance and road excitation is established. The co-simulation results show that the proposed method can accurately estimate and compensate model parameters, nonlinear friction states and disturbances, and has the advantages of high control precision, good stability and strong robustness.

A novel active disturbance rejection-based control strategy for a gun control system

Qiang Gao,Zhan Sun,Guolai Yang,Runmin Hou,Li Wang,Yuan-Long Hou 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.12

To compensate for the nonlinearity and to achieve finely-tuned tracking accuracy of a gun control system driven by an AC machine,an improved active disturbance rejection control (IADRC) strategy with neural network embedding (NN-IADRC) is developed in this paper. The proposed IADRC, which has amnestic memory effects, can be regarded as an extension of the conventional ADRC (CADRC),making it a special case of the IADRC. To further attenuate the dependence on system models and enhance the disturbance rejection capacities of the IADRC strategy, an on-line NN-based optimum updating approach is also developed in this paper. Finally, a series of experiments are conducted on the semi-physical simulation platform to estimate the performance of the control system and the effects of the memory factor on the system. The experimental results confirm that the proposed NN-IADRC is highly robust. The results also confirm that it performs more excellently than the CADRC and that its fine tuning has attained tracking accuracy.

A new interval perturbation method for static structural response bounds using radial basis neural network differentiation

Yuwei Yao,Liqun Wang,Guolai Yang,Fengjie Xu,Lei Li 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.3

The interval perturbation method is an effective and successful tool in the uncertainty analysis; however, it suffers from the deficiency in the required differential information, which limits its application in complex engineering problems. To end this, this paper uses the radial basis neural network to formulate the derivative information, and its fine accuracy is demonstrated by a mathematical example. Moreover, a new interval analysis method combining interval perturbation and radial basis neural network differentiation, abbreviated as RBNNIPM is proposed. Furthermore, RBNNIPM is applied to calculate the boundaries of yield stress in a three-bar truss, and the detailed assessment proves that RBNNIPM has both high efficiency and high precision. Finally, an electromagnetic buffer model is established to certificate the practicability of RBNNIPM in practical engineering.