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An incremental model-based method for the implementation of an UAV linear control system

机译:基于增量模型的无人机线性控制系统实现方法

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摘要

Developing embedded control systems for UAVs is a crucial problem that has received a considerable attention in the literature, mainly due to the high stakes related to these vehicles. Given the progress of simulation tools, model-based approaches have became a natural trend to achieve this task. However, one common drawback of such approaches relies in the complex transition from simulation to real set-up. The method proposed in this paper, and applied to a fixed-wing UAV, overcomes this limit by implementing incrementally a linear control system. To this end, we have: (i) modeled the UAV through a set of discrete linear SISO models; (ii) used an identification method based-least square and standards sensors to determine the parameters and the structure of these models; and (iii) used a simple control architecture-based on successive loop closure and requiring merely low-cost sensors. To establish the interest of the proposed method, simulations have been conducted on the AEROSONDE model. The resulting control system is shown to execute accurately the desired commands.
机译:开发用于无人机的嵌入式控制系统是一个至关重要的问题,这在文献中受到了相当大的关注,这主要是由于与这些车辆相关的高风险。随着仿真工具的进步,基于模型的方法已成为实现此任务的自然趋势。然而,这种方法的一个共同缺点是依赖于从仿真到实际设置的复杂过渡。本文提出的方法,并应用于固定翼无人机,通过逐步实现线性控制系统克服了这一限制。为此,我们已经:(i)通过一组离散的线性SISO模型为无人机建模; (ii)使用基于最小二乘和标准传感器的识别方法来确定这些模型的参数和结构; (iii)使用了一种基于连续闭环的简单控制架构,并且只需要低成本的传感器即可。为了建立该方法的兴趣,已经对AEROSONDE模型进行了仿真。所显示的控制系统可以精确地执行所需的命令。

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