The computational fluid dynamics(CFD)numerical simulation was used to investigate the aerodynamic characteristic of a canard guided rocket based on the technology of high quality point-to-point multi-block structured ...The computational fluid dynamics(CFD)numerical simulation was used to investigate the aerodynamic characteristic of a canard guided rocket based on the technology of high quality point-to-point multi-block structured grid.The results of numerical simula-tion and experiments showed that the method is highly credible,and the method could be used to the rockets with semblable configurations.The canard guided rocket was designed with different noses,canards and fins.The N-S equations were solved numeri-cally by the finite volume method,and the multi-grid method was adopted to accelerate the convergence.With these strategies the aerodynamic characteristics of rocket,nose,canard and fin were educed,and the change law was summarized.The results will provide the support for the optimization of anard guided rocket in engineering design.展开更多
In this paper,a robust adaptive controller is designed for a guided spinning rocket,whose dynamics presents the characteristics of pitch-yaw cross coupling,fast time-varying aerodynamics parameters and wide flight env...In this paper,a robust adaptive controller is designed for a guided spinning rocket,whose dynamics presents the characteristics of pitch-yaw cross coupling,fast time-varying aerodynamics parameters and wide flight envelop.First,a coupled nonlinear six-degree-of-freedom equation of motion for a guided spinning rocket is developed,and the lateral acceleration motion is modeled as a control plant with time-varying matched uncertainties and unmodeled dynamics.Then,a robust adaptive control method is proposed by combining Bregman divergence and variational method to achieve fast adaption and maintain bounded tracking.The stability of the resulting closed-loop system is proved,and the ultimate bound and convergence rate are also analyzed.Finally,numerical simulations are performed for a single operating point and the whole flight trajectory to show the robustness and adaptability of the proposed method with respect to timevarying uncertainties and unmodeled dynamics.展开更多
文摘The computational fluid dynamics(CFD)numerical simulation was used to investigate the aerodynamic characteristic of a canard guided rocket based on the technology of high quality point-to-point multi-block structured grid.The results of numerical simula-tion and experiments showed that the method is highly credible,and the method could be used to the rockets with semblable configurations.The canard guided rocket was designed with different noses,canards and fins.The N-S equations were solved numeri-cally by the finite volume method,and the multi-grid method was adopted to accelerate the convergence.With these strategies the aerodynamic characteristics of rocket,nose,canard and fin were educed,and the change law was summarized.The results will provide the support for the optimization of anard guided rocket in engineering design.
基金supported by the National Natural Science Foundation of China (No. 11532002)。
文摘In this paper,a robust adaptive controller is designed for a guided spinning rocket,whose dynamics presents the characteristics of pitch-yaw cross coupling,fast time-varying aerodynamics parameters and wide flight envelop.First,a coupled nonlinear six-degree-of-freedom equation of motion for a guided spinning rocket is developed,and the lateral acceleration motion is modeled as a control plant with time-varying matched uncertainties and unmodeled dynamics.Then,a robust adaptive control method is proposed by combining Bregman divergence and variational method to achieve fast adaption and maintain bounded tracking.The stability of the resulting closed-loop system is proved,and the ultimate bound and convergence rate are also analyzed.Finally,numerical simulations are performed for a single operating point and the whole flight trajectory to show the robustness and adaptability of the proposed method with respect to timevarying uncertainties and unmodeled dynamics.
