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Observer-Based Adaptive Fuzzy Sliding-Mode Controller Design for Missile Autopilot Systems

机译:基于Observer的自适应模糊滑模控制器设计用于导弹自动驾驶系统

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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:在本文中,提出了一种具有导弹自动驾驶系统观察者的自适应模糊滑模控制器,其致动器,主要由推力矢量控制和滚动扭矩控制系统组成,用于拦截剧院弹道导弹的任务。考虑到各国未知和扰动,分析和证明了自动驾驶仪系统稳定性和收敛性。这里,滑模,模糊推断机制和自适应算法和开关表面用于设计具有观察者的自动驾驶仪系统控制器,以消除测量角速度的必要性,其中基于观察者的模糊滑模控制器用于估计干扰的上限,并且使用中心适配的隶属函数的基于观察者的自适应模糊滑模控制器分别估计干扰的最佳限制。最后,通过Lyapunov稳定性理论和Barbalat的LEMMA彻底分析了整个系统的稳定性,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提出的自动驾驶系统的有效性。

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