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Nonlinear adaptive control design and controller integrity monitoring for quadrotor UAVs

机译:四旋翼无人机的非线性自适应控制设计和控制器完整性监控

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This paper presents a nonlinear adaptive fault-tolerant control algorithm for accommodating actuator faults in quadrotor UAVs and an online controller integrity method for assuring safety of adaptive control system in the presence of controller software faults. The actuator faults considered in this paper are modeled as partial losses of effectiveness in one of the rotors. Using adaptive backstepping techniques, a nonlinear indirect adaptive controller is designed for the quadrotor altitude and attitude system. The adaptive control algorithm guarantees closed-loop system stability and asymptotic tracking performance even in the presence of actuator faults. However, the occurrence of faults in the embedded adaptive control software may lead to unstable adaptation behaviors and malfunctions of the control algorithm. Based on Lyapunov stability criterion, an online controller integrity monitoring method is developed to detect such controller software faults. Adaptive thresholds for software fault detection are derived, ensuring the robustness with respect to fault parameter approximation error. The proposed adaptive controller and the controller integrity monitoring algorithm are implemented and evaluated using a real-time indoor quadrotor test environment.
机译:本文提出了一种适应四旋翼无人机执行器故障的非线性自适应容错控制算法,以及一种在控制器软件故障的情况下保证自适应控制系统安全性的在线控制器完整性方法。本文中考虑的执行器故障被建模为其中一个转子的部分有效性损失。使用自适应反推技术,为四旋翼高度和姿态系统设计了一个非线性间接自适应控制器。自适应控制算法即使在执行器出现故障的情况下也能确保闭环系统的稳定性和渐近跟踪性能。然而,嵌入式自适应控制软件中故障的发生可能导致不稳定的自适应行为和控制算法的故障。基于李雅普诺夫稳定性准则,开发了一种在线控制器完整性监测方法,以检测此类控制器软件故障。导出了用于软件故障检测的自适应阈值,从而确保了针对故障参数逼近误差的鲁棒性。提出的自适应控制器和控制器完整性监控算法是使用实​​时室内四旋翼测试环境来实现和评估的。

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