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Implementation of the robust control in the mini autopilot for an unmanned air vehicle

机译:在无人驾驶飞机的迷你自动驾驶仪中实现鲁棒控制

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In this paper, three robust control methods for the uncertain dynamic model of Skywalker X8 flying-wing unmanned air vehicle are designed: mu-synthesis, robust proportional integral derivative control and adaptive robust proportional integral derivative control using optimization. The implementation feasibility of designed robust control systems based on the capabilities of the autopilot hardware is investigated. A robust proportional integral derivative and robust adaptive proportional integral derivative control are designed based on the considerations of the robustness of the system's behavior as well as hardware considerations. With a robust control system based on mu-synthesis, it is possible to achieve better reference signal tracking and disturbance rejection. But the hardware processor speed of the existing autopilot makes it impossible to implement this controller. Two parallel microcontrollers or a dual-core microcontroller must be used to implement a control system based on the mu-synthesis. Designed robust adaptive proportional integral derivative controller for roll channel was implemented in the existing autopilot and tested in flight test.
机译:本文针对天行者X8飞翼无人机的不确定动力学模型,设计了三种鲁棒控制方法:μ综合,鲁棒比例积分微分控制和自适应鲁棒比例积分微分控制。研究了基于自动驾驶仪硬件功能设计的鲁棒控制系统的实施可行性。基于对系统行为的鲁棒性以及硬件方面的考虑,设计了鲁棒比例积分微分和鲁棒自适应比例积分微分控制。利用基于mu合成的鲁棒控制系统,可以实现更好的参考信号跟踪和干扰抑制。但是现有自动驾驶仪的硬件处理器速度使其无法实现该控制器。必须使用两个并行微控制器或一个双核微控制器来实现基于mu合成的控制系统。在现有的自动驾驶仪中实现了针对侧倾通道设计的鲁棒自适应比例积分微分控制器,并在飞行测试中进行了测试。

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