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Application of Parameter Self-tuning Fuzzy PID Controller in Guidance Loop of Unmanned Aircraft

机译:参数自调整模糊PID控制器在无人机指导循环中的应用

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Traditional design methods for the guidance and control system of the unmanned aircraft are based on accurate object model, which can not achieve satisfactory effect when the dynamic characteristic shows larger variety during the flying process. In this paper, an improved parameter self-tuning fuzzy PID controller is proposed to maintain good dynamic performance for the guidance loop of unmanned aircraft. The simulation result shows that the control effects of the proposed fuzzy PID controller are better than that of the conventional PID controller, which can maintain the high steady precision of the conventional PID controller, as well as having the advantage of fuzzy control that can improve the dynamic performance considering a wide parameter variation.
机译:无人驾驶飞机的引导和控制系统的传统设计方法基于精确的物体模型,当动态特性在飞行过程中显示出较大的繁殖时,无法实现令人满意的效果。本文提出了一种改进的参数自调整模糊PID控制器,以对无人机的引导环路保持良好的动态性能。仿真结果表明,所提出的模糊PID控制器的控制效果优于传统的PID控制器的控制效果,其能够保持传统PID控制器的高稳定精度,以及具有可以改善的模糊控制的优点考虑广泛参数变化的动态性能。

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