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首页> 外文期刊>International Journal of Precision Engineering and Manufacturing >Nonlinear Hybrid Controller Design for Perturbed Quadrotor Robot by Uncertainties
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Nonlinear Hybrid Controller Design for Perturbed Quadrotor Robot by Uncertainties

机译:非线性混合控制器设计对不确定性的扰动四轮机器机器人

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摘要

In this paper, a novel nonlinear hybrid observers (HOB) based dynamic surface control (DSC) system, which integrates nominal and compensation controller, is designed for autonomous quadrotor robot perturbed by the uncertainties, e.g., external disturbances and measurement-delay. In this hybrid control system, the nominal controller based on dynamic surface control superior to the backstepping technique is the main controller, and the disturbance observer (DOB) is incorporated as the compensation controller to eliminate the effect of uncertainties caused by model mismatch and external disturbances. In addition, in order to relax the impact of measurement-delay induced by sensors of poor quality and heavy computation burden, the measurement-delay observer (MOB) is derived. Next, stability of the closed-loop control system is analytically proved based on Lyapunov theorem. Finally, comparative controllers are evaluated on simulation and experimental environments to demonstrate the effectiveness and merits of the proposed controller for quadrotor robot against the uncertainties.
机译:本文中,基于新型的非线性混合观察员(滚刀)的动态表面控制(DSC)系统,它集成了标称和补偿控制器,专为由不确定性而扰乱的自主四射线机器人,例如外部干扰和测量延迟。在该混合控制系统中,基于动态表面控制的标称控制器优于反向插入技术是主控制器,并且干扰观察者(DOB)被用作补偿控制器,以消除由模型不匹配和外部干扰引起的不确定性的效果。此外,为了放松质量差和重量计算负担的传感器诱导的测量延迟的影响,导出测量延迟观察者(MOB)。接下来,基于Lyapunov定理分析闭环控制系统的稳定性。最后,对模拟和实验环境评估了比较控制器,以证明拟议控制器的有效性和优点,用于抵抗不确定性的四轮车机器人。

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