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Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover

机译:基于悬停直升机非线性模型仿真的智能模糊调节器选择与设定

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摘要

Most research on fuzzy regulators has focused on the in-rntegrating rules in intelligent control systems. This paper evaluates a fuzzy helicopter regulator for a single-rotor PZL Kania helicopter. Unlike other models which only match stable flight ability, the model presented in this paper attempts to match the links between disturbances and hover conditions. Two simulations were performed to validate the model. In the first simulation, a helicopter was evaluated in a fixed hover position. In the second simulation, model robustness was validated by introducing wind gust. Results, both with the initial and with the modified model demonstrated the viability of the proposed regulator.
机译:关于模糊调节器的大多数研究都集中在智能控制系统中的集成规则上。本文评估了单旋翼PZL Kania直升机的模糊直升机调节器。与仅匹配稳定飞行能力的其他模型不同,本文介绍的模型试图匹配干扰和悬停条件之间的联系。进行了两次仿真以验证模型。在第一个模拟中,对直升机的固定悬停位置进行了评估。在第二个仿真中,通过引入阵风来验证模型的鲁棒性。初始模型和改进模型的结果都证明了拟议调节器的可行性。

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  • 来源
    《New Generation Computing》 |2009年第3期|215-237|共23页
  • 作者单位

    Institute of Informatics, Wroclaw University of Technology Wyb. Wyspiatiskiego 27, 50-370 Wroclaw, POLAND;

    Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, POIAND;

    Institute of Telecommunication, Teleinformatics and Acoustics, Wroclaw University of Technology, POLAND;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    nonlinear modeling; fuzzy control; helicopter dynamics;

    机译:非线性建模模糊控制直升机动力学;

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