无人机小型自动驾驶仪鲁棒控制的实现

R. M. Farhadi, V. Kortunov, A. Mohammadi
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引用次数: 2

摘要

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:mu综合、鲁棒比例积分导数控制和自适应鲁棒比例积分导数优化控制。研究了基于自动驾驶仪硬件性能的鲁棒控制系统实现的可行性。基于系统行为的鲁棒性和硬件的考虑,设计了鲁棒比例积分导数和鲁棒自适应比例积分导数控制。采用基于mu合成的鲁棒控制系统,可以实现更好的参考信号跟踪和抗干扰。但现有自动驾驶仪的硬件处理器速度使得该控制器无法实现。为了实现基于mu合成的控制系统,必须使用两个并行微控制器或双核微控制器。设计的滚动通道鲁棒自适应比例积分导数控制器在现有自动驾驶仪上实现,并在飞行试验中进行了验证。
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Implementation of the robust control in the mini autopilot for an unmanned air vehicle
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.
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