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基于ANSYS的舰船桅杆振动半主动神经网络控制仿真
Simulation of semi-active neural network control of ship mast vibrations based on ANSYS
【摘要】 舰船桅杆在风载、船舶横摇惯性载荷以及由螺旋桨引起的桅杆基础加速度激励等载荷作用下,其顶部雷达处会产生较大的转角振动,严重影响雷达追踪的分辨率。文中以磁流变液阻尼器(Magneto-Rheological Damper)为作动器,采用神经网络模拟该阻尼器的逆向动特性,并运用独立模态空间控制算法设计了半主动控制系统。研究了基于ANSYS平台的振动半主动控制实现方法,并最终在ANSYS中实现了基于磁流变阻尼器的舰船桅杆振动半主动控制。数值计算结果表明,文中设计的控制系统能有效地减小桅杆顶部雷达的转角振动,基于ANSYS实现结构振动控制仿真是可行的。
【Abstract】 The rotational vibrations at the top of mast,which may be due to wind loading,inertial loading from ship rolling and base excitations induced by the running propeller often cause serious deterioration in radar-tracking resolution.In this paper,a method of semi-active vibration control using magneto-rheological(MR) dampers to reduce the rotational vibration of the mast is presented.ANSYS based simulation method of vibration control is proposed and ANSYS parametric design language is employed to code simulation calculation of vibration control.In this study,the independent modal space control algorithm is used for the vibration control.As the phenomenological model of an MR damper is highly nonlinear,which is difficult to analyse,a back-propagation neural network is trained to emulate the inverse dynamic characteristics of the MR damper in the analysis.Numerical simulations show that the proposed control methods can effectively suppress the rotational vibrations at the top of ship mast,and the simulation method of vibration control based on ANSYS is feasible.
【Key words】 ship mast; structural vibration; magneto-rheological damper; semi-active control; neural network; ANSYS;
- 【文献出处】 船舶力学 ,Journal of Ship Mechanics , 编辑部邮箱 ,2011年Z1期
- 【分类号】U661.44;U674.70
- 【被引频次】8
- 【下载频次】258