The implementation of a missile's visual simulation system is explained that is developed with OpenGL(open graphic library) and the flight path and flight carriage in different stages of the missile are displayed....The implementation of a missile's visual simulation system is explained that is developed with OpenGL(open graphic library) and the flight path and flight carriage in different stages of the missile are displayed. The establishment problems of the 3D scene are circumstantiated including the construction and redeployment of the model, creation of the virtual scene, setting of the multi-viewports and multi-windows etc. The missile's data driver, system flow, the modules and their mutual relations of the missile visual simulation system are discussed. The missile flight simulation results and effect of the scenes are given.展开更多
应用倾斜转弯(Bank to Turn,BTT)及推力矢量控(ThrustVector Control,TVC)技术设计并建立了空空导弹六自由度模型。在此基础上考虑气动参数变化和建模不确定性引起的误差对导弹控制系统的影响,为消除误差影响,引入RBF神经网络分别对快...应用倾斜转弯(Bank to Turn,BTT)及推力矢量控(ThrustVector Control,TVC)技术设计并建立了空空导弹六自由度模型。在此基础上考虑气动参数变化和建模不确定性引起的误差对导弹控制系统的影响,为消除误差影响,引入RBF神经网络分别对快慢回路进行补偿,利用李亚普诺夫(Lyapunov)稳定性定理推导了神经网络权值、中心及带宽的自适应规律,并证明了闭环系统的稳定性。通过对某型空空导弹大机动仿真研究,结果表明RBF神经网络自适应控制方法补偿作用显著,不仅改善了控制系统的动态性能,而且使系统具有良好的抗干扰和容错能力。展开更多
文摘The implementation of a missile's visual simulation system is explained that is developed with OpenGL(open graphic library) and the flight path and flight carriage in different stages of the missile are displayed. The establishment problems of the 3D scene are circumstantiated including the construction and redeployment of the model, creation of the virtual scene, setting of the multi-viewports and multi-windows etc. The missile's data driver, system flow, the modules and their mutual relations of the missile visual simulation system are discussed. The missile flight simulation results and effect of the scenes are given.
文摘应用倾斜转弯(Bank to Turn,BTT)及推力矢量控(ThrustVector Control,TVC)技术设计并建立了空空导弹六自由度模型。在此基础上考虑气动参数变化和建模不确定性引起的误差对导弹控制系统的影响,为消除误差影响,引入RBF神经网络分别对快慢回路进行补偿,利用李亚普诺夫(Lyapunov)稳定性定理推导了神经网络权值、中心及带宽的自适应规律,并证明了闭环系统的稳定性。通过对某型空空导弹大机动仿真研究,结果表明RBF神经网络自适应控制方法补偿作用显著,不仅改善了控制系统的动态性能,而且使系统具有良好的抗干扰和容错能力。