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Nonlinear Autopilot Design for Agile Interceptors via Command Filtered Backstepping and Dynamic Control Allocation

机译:敏捷拦截器的非线性自动驾驶仪设计,基于命令过滤后推和动态控制分配

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For agile interceptors with aerodynamic control surfaces and reaction jets, a nonlinear autopilot design method is proposed by using command filtered backstepping and dynamic control allocation algorithm. Since there are two different types of actuators, it is necessary to consider collaboration issues. Therefore, the autopilot involves a nonlinear virtual control law and a dynamic control allocator. To deal with parameter uncertainties and unknown disturbances in the system, a robust virtual control law is designed by command filtered backstepping. Then, a dynamic control allocator is applied by optimal programming to distribute the virtual signals to the aerodynamic control surfaces and reaction jets on the interceptor. Simulation results show that the autopilot control system tracks the acceleration command fast and smoothly. In the tracking process, aerodynamic control surfaces cooperate with reaction jets, verifying the effectiveness of the proposed design method.
机译:对于具有气动控制面和反作用力射流的敏捷拦截器,提出了一种非线性自动驾驶仪设计方法,该方法采用命令滤波反推法和动态控制分配算法。由于有两种不同类型的执行器,因此有必要考虑协作问题。因此,自动驾驶仪涉及非线性虚拟控制律和动态控制分配器。为了处理系统中的参数不确定性和未知干扰,通过命令过滤后推设计了鲁棒的虚拟控制律。然后,通过最佳编程应用动态控制分配器,以将虚拟信号分配到空气动力学控制表面和拦截器上的反应射流。仿真结果表明,自动驾驶仪控制系统可以快速,平稳地跟踪加速度指令。在跟踪过程中,空气动力学控制面与反应射流配合,验证了所提出设计方法的有效性。

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