起落架磁流变减摆器模糊PID控制算法的研究
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(中国民航大学 航空工程学院,天津 300300)

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李 莹(1991-),女,河南人,硕士研究生,主要从事飞机起落架震动控制、飞机维修理论与技术方向的研究。 祝世兴(1958-),男,黑龙江青冈人,教授,主要从事飞机起落架震动控制、飞机维修理论与技术方向的研究。[FQ)]

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国家自然科学基金项目(61172013)。


Study on Magnetorheological Shimmy Damper Control Algorithm using Fuzzy PID
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(Institute of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China)

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    摘要:

    为了减小飞机机轮的摆振,提高飞机乘坐的舒适性和驾驶的安全性,将磁流变控制技术应用于飞机起落架减摆器,实现减摆器阻尼力的实时智能控制;针对磁流变减摆器,建立了飞机起落架摆振的半主动控制非线性动力学模型,设计了模糊PID控制算法,并使用Matlab/Simulink建立了半主动控制仿真模型;通过调节流过磁感线圈的电流大小改变磁流变减摆器的阻尼力,从而减小机轮摆动实现半主动控制;通过动力学仿真,在给定速度下分别对比未安装减摆器、被动控制下以及半主动控制下机轮摆角、侧向位移、侧滑角随时间变化的曲线,结果表明了模糊PID控制算法的正确性和可行性,该控制策略可以较好的抑制机轮的摆振,同时也表明模糊PID控制算法具有良好的可控性,减摆效果也明显优于传统的被动控制。

    Abstract:

    In order to reduce the aircraft wheel shimmy,enhance the comfort and safety of the aircraft,apply the magnetorheological (MR) control theory into shimmy damper of aircraft landing gear,achieve the real time and intelligent control.According to magnetorheological (MR) shimmy damper, the semi-active control of a nonlinear dynamic model of the landing gear was established.FuzzyPID control algorithm was set up. And the model of semi-active control was created by using Matlab/Simulink.It adjusted the damping force of magnetorheological(MR) shimmy damper by controlling the current which flows through the magnetic coil. Therefore, it can reduce the swing of the wheels. The semi-active control for magnetorheological(MR) shimmy damper was realized. By using dynamic simulation, comparing non-magnetorheological(MR) shimmy damper, passive control and semi-active control, we get the time curves of oscillation angle, the lateral displacement and the angle of the side slip. The simulation results show that FuzzyPID control algorithm was correct and feasible,the algorithm can good restrain the shimmy of airplane wheel,The results also show that FuzzyPID control algorithm has good controllability, the effect of diminishing oscillation is also better than the traditional passive control.

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李莹,王博,祝世兴.起落架磁流变减摆器模糊PID控制算法的研究计算机测量与控制[J].,2016,24(2):80-83.

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  • 收稿日期:2015-08-13
  • 最后修改日期:2015-09-17
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  • 在线发布日期: 2016-07-27
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