Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 30, No. 6 (June 2017) 887-894    Article in Press

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  NUMERICAL SURVEY OF VIBRATIONAL MODEL FOR THIRD AIRCRAFT BASED ON HR SUSPENSION SYSTEM ACTUATOR USING TWO BEE ALGORITHM OBJECTIVE FUNCTIONS
 
A. Toloei, M. Zarchi and B. Attaran
 
( Received: October 25, 2016 – Accepted in Revised Form: April 21, 2017 )
 
 

Abstract    This research explains airplane model with two vertical vibrations for airframe and landing gear system. The purpose of this work is to advance vibrational model for study of adjustable vibration absorber and to plan Proportional-Integration-Derivative approach for adapting semi active control force. The coefficients of this method are modified as stated by Bee multiobjective optimization using minimizing accelerations and impact forces as objective functions. The consequences implies that the semi active shock absorber system based on artificial Bee colony improves passengers and ride comfort and fatigue life of fuselage, shock strut and tyre by reducing movement of body, suspension system and impact load in an important way compared to passive performance during touchdown phase with various sink speeds and runway surfaces for robustness and sensitivity investigation of optimization performance.

 

Keywords    airplane model, PID approach, multiobjective optimization, semiactive vibration absorber, artificial Bee colony

 

چکیده    این تحقیق مدل هواپیما با دو ارتعاش عمودی برای بدنه و سیستم ارابه فرود را تشریح می کند. هدف این کار بسط مدل ارتعاشی برای مطالعه جاذب ارتعاش تنظیم پذیر و طراحی روش تناسبی-انتگرالی-مشتق گیر برای تطبیق نیروی کنترل نیمه فعال می باشد. ضرائب این تکنیک بر طبق بهینه سازی چندهدفه زنبورعسل با استفاده از مینیموم کردن شتاب ها و نیروهای ضربه به عنوان توابع هدف اصلاح می گردد. نتایج نشان می دهند که سیستم جاذب ضربه نیمه فعال بر مبنای کلونی زنبور عسل مصنوعی، راحتی مسافران و سواری و عمر خستگی بدنه، پایه ضربه و تایر را توسط کاهش جابجایی بدنه، سیستم تعلیق و بار ضربه بطور چشمگیری در مقایسه با عملکرد غیرفعال در طول فاز فرود با سرعت های نشست و سطوح باند فرود مختلف برای بررسی مقاومت و حساسیت عملکرد بهینه سازی بهبود می بخشد.

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