Ultrastick-25e无人机的自适应多变量控制器

E. N. Mobarez, Amr Sarhan Mahmoud, M. Ashry
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引用次数: 0

摘要

为Ultrastick-25e无人机设计了两种类型的自适应控制。这是为了提高对Ultrastick-25e的控制响应。提出的第一种自适应自动驾驶仪方法是利用模糊自整定PID。即重新调整PID参数,使无人机在各工作点保持稳定。提出的第二种自适应自动驾驶方法是ANFIS控制器。这是一种智能控制技术。对空气的湍流、传感器的噪声效应和模型不完全完成的可能性(不确定性)进行测试是对所提出的控制器进行比较和评估其鲁棒性的基本要素。本文首次将模糊自适应自整定PID和ANFIS控制器应用于Ultrastick-25e无人机。在几种情况下,对所提出的控制系统进行了比较,证实了ANFIS控制器比使用模糊自适应自整定PID具有鲁棒性。
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Adaptive Multi-variable Controllers for Ultrastick-25e UAV
Two types of adaptive control are designed for Ultrastick-25e UAV. This is to improve the control response to the Ultrastick-25e. The 1st adaptive autopilot method proposed is self-tuned PID using fuzzy. That is to retune the PID parameter to keep the UAV stable at all operating points. The 2nd adaptive autopilot method proposed is ANFIS controller. It is intelligent control technique. Testing against turbulence of the air, sensor’s noise effect and against the possibility of the model not completing perfectly (uncertainty) are a basic elements for making a comparison between the proposed controllers and evaluate their robustness. Through this paper Adaptive self-tuned PID using fuzzy and ANFIS controllers are used for the first time on Ultrastick-25e UAV. The comparisons between the proposed control systems during several scenarios confirm the robustness of ANFIS controller over the adaptive self-tuned PID using fuzzy.
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