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Design and flight testing of closed-loop simple adaptive control for a biplane micro air vehicle

机译:用于双向微空气车辆闭环简约自适应控制的设计和飞行测试

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This article presents the implementation of closed-loop simple adaptive control on fixed-wing micro air vehicle dynamics to improve flight performance characteristics. It is known that to retain the micro air vehicle system performance during the entire flight regime is difficult due to model uncertainties, large parameter variation and wind disturbances compared to flight velocity. An adaptive controller can adapt to the uncertainties but the complexity involved in their implementation is high due to unavailability of required sensor information and computational resources on a micro air vehicle platform. Lack of flight test results in the open literature incorporating adaptive control so far can be partially attributed to this complexity. In this case, adaptive control architecture is implemented in such a way that only the uncertainties in the system dynamics are taken care of by the adaptive control and desired nominal plant performance is achieved by the basic controller. The proposed adaptive controller architecture is implemented in real flight test, and improvement of tracking performance over a proportional–integral–derivative controller is demonstrated which illustrates superior performance to conventional architectures. The proposed design approach can be implemented easily to an existing system, and system performance can be enhanced in the presence of unmodelled and uncertain system dynamics.
机译:本文提出了在固定翼微空气车动态上实施闭环简单自适应控制,以改善飞行性能特征。已知为了在整个飞行状态下保持微空气车辆系统性能,由于模型不确定性,与飞行速度相比,大型参数变化和风扰动是困难的。自适应控制器可以适应不确定性,但由于在微空气车平台上所需的传感器信息和计算资源,其实现中所涉及的复杂性很高。缺乏飞行试验结果在迄今为止加入自适应控制的开放文学中可以部分归因于这种复杂性。在这种情况下,以这样的方式实现自适应控制架构,即仅通过自适应控制处理系统动态中的不确定性,并且基本控制器实现了所需的标称工厂性能。所提出的自适应控制器架构是在实际飞行测试中实现的,并且演示了在比例 - 积分衍生控制器上的跟踪性能的提高,其示出了传统架构的卓越性能。所提出的设计方法可以很容易地实现现有系统,并且在存在未介质和不确定的系统动态的存在下可以提高系统性能。

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