بهينه سازي يك هواپيماي بي سرنشين با استفاده از منطق فازي و بهينه سازي طراحي چندموضوعي

Optimization of an Unmanned Aerial Vehicle Using Fuzzy Logic and Multidisciplinary Design Optimization

در اﯾﻦ ﺗﺤﻘﯿﻖ ﺳﻌﯽ ﺷﺪه اﺳﺖ ﺗﺎ ﺑﺎ اراﺋﮥ ﯾﮏ روش، ﻣﺸﮑﻼت ﻣﺮﺑﻮط ﺑﻪ ﺑﻬﯿﻨﻪﺳﺎزيﻫﺎي ﭼﻨﺪﻫﺪﻓﻪ ﻣﻘﯿﺪ )ﭘﯿﺎدهﺳﺎزي، زﻣﺎن ﻣﺤﺎﺳﺒﺎت و ﺳﺎدﮔﯽ( ﺗﺎ ﺣﺪودي ﺑﺮﻃﺮف ﺷﻮد. اﯾﻦ روش ﮐﻪ ﺑﺮ ﻣﺒﻨﺎي ﻣﻨﻄﻖ ﻓﺎزي اﺳﺖ ﯾﮏ ﻣﺴﺎﻟﻪ ﺑﻬﯿﻨﻪﺳﺎزي ﭼﻨﺪﻫﺪﻓﻪ ﻣﻘﯿﺪ را ﺑﻪ ﯾﮏ ﻣﺴﺎﻟﻪ ﺑﻬﯿﻨﻪﺳﺎزي ﺗﮏ ﻫﺪﻓﻪ ﻧﺎﻣﻘﯿﺪ ﺗﺒﺪﯾﻞ ﻣﯽﮐﻨﺪ و ﺑﻪ اﯾﻦ ﺷﮑﻞ ﺑﺴﯿﺎري از ﻣﺸﮑﻼت ذﮐﺮ ﺷﺪه ﺑﺮﻃﺮف ﻣﯽﺷﻮد. ﺟﻬﺖ ﻧﺸﺎن دادن ﮐﺎرآﯾﯽ روش، ﺳﻪ ﺑﻬﯿﻨﻪﺳﺎزي ﻃﺮاﺣﯽ ﯾﮏ ﻫﻮاﭘﯿﻤﺎي ﺑﯽﺳﺮﻧﺸﯿﻦ اﻧﺠﺎم ﺷﺪه اﺳﺖ. ﻫﺪف ﺑﻬﯿﻨﻪﺳﺎزي اول، ﻣﻘﺎﯾﺴﮥ ﻋﻤﻠﮑﺮد اﯾﻦ روش ﺑﺎ دو روش ﻣﻌﺮوف ﺑﻬﯿﻨﻪﺳﺎزي ﭼﻨﺪﻫﺪﻓﻪ اﺳﺖ. ﻫﺪف از ﺑﻬﯿﻨﻪﺳﺎزيﻫﺎي دوم و ﺳﻮم ﻧﯿﺰ ﻧﺸﺎن دادن اﯾﻦ ﻗﺎﺑﻠﯿﺖ از روش ﭘﯿﺸﻨﻬﺎدي اﺳﺖ ﮐﻪ ﺑﺮﺣﺴﺐ ﺿﺮورت ﻃﺮاح ﻣﯽﺗﻮاﻧﺪ ﺑﻪ ﺷﮑﻞ آﮔﺎﻫﺎﻧﻪ درﺟﻪ اﻫﻤﯿﺖ را روي ﺗﻮاﺑﻊ ﻫﺪف و ﯾﺎ ﻗﯿﻮد ﺗﻐﯿﯿﺮ دﻫﺪ. ﻧﺘﺎﯾﺞ ﺑﻬﯿﻨﻪﺳﺎزيﻫﺎ ﻧﺸﺎن ﻣﯽدﻫﻨﺪ ﮐﻪ زﻣﺎن ﻣﺤﺎﺳﺒﺎت ﺑﺎ اﺳﺘﻔﺎده از روش ﭘﯿﺸﻨﻬﺎدي ﮐﺎﻫﺶ ﯾﺎﻓﺘﻪ و ﻫﻤﭽﻨﯿﻦ ﺑﺎ ﺗﻐﯿﯿﺮ درﺟﮥ اﻫﻤﯿﺖ، دو ﻃﺮح ﮐﺎﻣﻼ ﻣﺘﻔﺎوت ﺑﻪ دﺳﺖ آﻣﺪه اﺳﺖ.

This research tries to propose a method to solve problems related to constrained multi-objective optimizations (implementation, computation time, and simplicity). This method, based on fuzzy logic, converts constrained multi-objective optimization problem into unconstrained single-objective optimization problems so many of the mentioned problems are solved. To demonstrate the efficiency of this method, three multidisciplinary design optimizations of an unmanned aerial vehicle have been performed. The aim of the first optimization is to compare the performance of the proposed method with two wellknown methods of multi-objective optimizations. The purpose of the second and third optimizations is to show this capability of the proposed method that the designer, according to need, can consciously change the degree of importance on the objective functions or constraints. The results of the optimizations show that the computational time has been reduced, and two different optimal designs have been obtained by changing the degree of importance.