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Observer-based adaptive fuzzy sliding-mode controller design for missile autopilot systems

机译:导弹自动驾驶系统基于观测器的自适应模糊滑模控制器设计

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In this paper, an adaptive fuzzy sliding-mode controller with an observer for missile autopilot systems is proposed with actuators, mainly consisting of the thrust vector control and the rolling torque control system, for the task of intercepting a theater ballistic missile. Considering states unknown and disturbances, the autopilot system stability and convergence are analyzed and demonstrated. Here, the sliding-mode, the fuzzy inference mechanism, and the adaptive algorithm and a switching surface are used to design the autopilot system controller with an observer to eliminate the necessity of measuring angular velocity, where the observer-based fuzzy sliding-mode controller is used to estimate the upper bound of disturbances, and the observer-based adaptive fuzzy sliding-mode controller with center adaption of membership functions is used to estimate the optimal bound of disturbances, respectively. Finally, the stability of the overall system is analyzed thoroughly via Lyapunov stability theory and Barbalat's lemma to achieve controller design for missile autopilot systems. Furthermore, extensive simulation results are conducted to validate the effectiveness of the proposed autopilot system.
机译:本文提出了一种带有观测器的自适应模糊滑模控制器,用于导弹自动驾驶系统,该执行器主要由推力矢量控制和滚动转矩控制系统组成,用于拦截战区弹道导弹。考虑到未知状态和干扰,对自动驾驶系统的稳定性和收敛性进行了分析和论证。这里,使用滑模,模糊推理机制,自适应算法和切换表面来设计带有观察者的自动驾驶系统控制器,从而消除了测量角速度的必要性,其中基于观察者的模糊滑模控制器分别用来估计扰动的上界,并使用基于隶属函数中心自适应的基于观测器的自适应模糊滑模控制器来估计扰动的最佳界限。最后,通过Lyapunov稳定性理论和Barbalat引理对整个系统的稳定性进行了全面分析,以实现导弹自动驾驶系统的控制器设计。此外,进行了广泛的仿真结果以验证所提出的自动驾驶系统的有效性。

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