OPTIMIZED FUZZY LOGIC FOR NONLINEAR VIBRATION CONTROL OF AIRCRAFT SEMI-ACTIVE SHOCK ABSORBER WITH INPUT CONSTRAINT (TECHNICAL NOTE)

A. Toloei, M. Zarchi, B. Attaran
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引用次数: 6

Abstract

Landing impact and runway unevenness have proximate consequence on performance of landing gear system and conduce to discomfort of passengers and reduction of the pilot’s capability to control aircraft. Finally, vibrations caused by them result in structure fatigue. Fuzzy logic controller is used frequently in different applications because of simplicity in design and implementation. In the present paper, this control approach is performed by minimum error criteria procedure and bees algorithm as the optimization technique for the model of semi-active suspension system that chooses damping performance of shock absorber at touchdown to be the purpose of control on landing gear and its efficiency is evaluated with the competence of passive control. Results of numerical simulation by matlab/simulink software indicate that the force induced to body and the vertical vibration of fuselage have important improvement )60% and 50%( for fuzzy intelligent method optimized by bees algorithm compared to passive approach which lead to increase in quality of landing, easiness of passengers and structure’s fatigue life in various operation conditions.
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带输入约束的飞机半主动减振器非线性振动控制的优化模糊逻辑(技术说明)
着陆冲击和跑道不平等会直接影响起落架系统的性能,给乘客带来不适,降低飞行员的操控能力。最后,它们引起的振动导致结构疲劳。模糊控制器由于其设计和实现简单,在不同的应用中得到了广泛的应用。本文采用最小误差准则法和蜜蜂算法作为优化技术,对选择着陆时减振器阻尼性能作为起落架控制目的的半主动悬架系统模型进行了控制,并用被动控制能力评价了该控制方法的有效性。通过matlab/simulink软件进行的数值模拟结果表明,采用蜜蜂算法优化的模糊智能方法,与被动方法相比,对机体的受力和机身的垂直振动有了60%和50%的显著改善,在各种运行条件下,提高了着陆质量、乘客的舒适性和结构的疲劳寿命。
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29
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