利用几何遗传方法优化前缘翼根延伸的外形以增强飞行器 升力系数和机动性_英文_
AIRCRA FT L IFT A ND M A NEUVERA B IL ITY ENHA NCEM ENT
BYGENET IC GEOM ETRY O PT IM IZA T IO N O F
LEX CO NF IGURA T IO N
,A bba s L K C h en Q ia n (), , 29 , , 210016, . . Co llege o f A ero sp ace E ng inee r ingN U A A Yudao S t ree tN an jingPRC h ina
() : , A bstrac tT o enh ance th e m aneuve rab ility o f th e se lected a irc raf t m o de la standa rd gene t ic a lgo r ithm GA is
() 2. u sed a s an op t im iza t io n m e tho d fo r th e p re lim ina ry de sign o f th e |
etho d in co n junc t io n w ith th e sem iem p ir ica l
.2015 % - 1513 % fo rm u la s o f DA T COMR e su lt s show th a t th elif t co eff ic ien t inc rea se s app ro x im a te ly fo r M ach
014-018 618 % 112, 915 % - 1510 % num be r and fo r M ach num be r and its m ax im um va lue app ro x im a te ly fo r
012-0195 . 616 % - 810 % 1- 5 M ach num be r w h en L EX is in sta lledAga in a t a lt itude s o f km o n th e tu rn ra te
.maneuve rab ility and th e co rne r sp eed h ave been ach ieved in the sub so n ic reg ime
(): 2; ; ; Key wordslead ingedge ex ten sio n L EX lif t co eff ic ientm aneuve rab ilitygene t ic a lgo r ithm
()CL C n um ber: V 211 D ocum en t code: A : 100521120 207A r t ic leID
the w in g a m o re favo rab le p re ssu re g rad ien t, so INTROD UCTIO N 5 . th a t th e sta ll is de layed T h e se vo r tex gen e ra2
()2T h e lead in gedge ex ten sio n s L EX so r som e to r s tak e th efo rm o f sm a ll f in s st ick in g up f rom o th e r ca lled st rake s a re f ille t s added to th e f ro n t , th e su rface o f th e win gju st b eh in d th e lead in g
() ′. 1o f a m o de rn f igh te r a irc raf ts w in g s see F igin ., edgeIn th is ca seth e p re ssu re is degen e ra ted o rde r to pro v ide u sab le a irf low o ve r th e w in g to , sm a
sep a ra t io n o f th e 22, co n t ro l su rface s a t h igh an g le so fa t tack typ ica l2 d in g |
ha s e sp ec ia lly la rge ex 2
,sm a ll a sp ec t ra t io lif t in g su rface sro u gh ly t r ian2227, am p le s o f L EX a s w e ll a s th e Su k ho i Su th e
,gu la r in sh ap eh av in g sh a rp lead in g edge s w ith 216 229 .F f igh t in g F a lco n an d th e M igF u lc rumla rge sw eep an gle s ru n n in g f rom th e lead in g edge Som e o f L EX ae ro dynam ic d isadvan tage s a re o b2 o f th e w in g roo t to a po in t nea r th e co ckp it a lo n g , se rved du r in g f ligh t te st s and re sea rch e ssu ch a s 1
24 . , th e fu se lage In c ru isin g f ligh tth e effec t o f h igh an g le2o f2a t tack s an d b u | |
ffe t2 p itch in g up a t |
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628 . , 22L EX is m in im a lH ow eve rw h en th e an g leo fa t2 . ing W h ile m an y in ve st iga to r s h ave stu d ied tack in c rea ses a s in a do gf igh t, th e L EX sta r t s to th e app lica t io n of L EX to th e de lta w in g co n f igu2
9214 2gen e ra te a h igh sp eed vo r tex th a t rem a in s a t2 ra tio n an d recomm en ded th a t th e de lta w in g
with th e st rak e o r L EX h a s b e t te r ae ro dyn am ic tach edto th e top o f th e w in g. D u e to th e effec t s
pe rfo rm an ce th an th e de lta w in g a lo n e co n f igu ra2 ′sp r in c ip le, de sc r ib ed b y B e rno u llith e w in g
22., t io nA t a h igh an g leo fa t tack th e st ro n g L EX 2, th erefo re h a s a low p
, vo r tex stab ilize s th e m a in w in g vo r tex an d de lay s co n t in u e s to gen e ra vo r tex g ive s th e re st o f te lif t p a st th e no rm a l sta ll |
-03- 12; 2007- 08- 07 2007Rece ived da te: rev is ion rece ived da te:E-m a il: la ith abba ss@ yahoo. com
win g is m o st comm o n ly app lied to sup e r so n ic ve2 1 PO TENTIAL FLOW A NALY -
,h ic le sw h ich b en ef it s f rom ch a rac te r ist ic s lik e th e— S ISPA NEL M ETHOD S, low w ave d ragth e g radu a l t ran so nic d rag r ise s
Th e too ls ro u t in e ly u sed in th e a irc raf t in du s2 an d the w e igh t low e r s du e to b e t te r w in g b en d in g
try to an a lyze po ten t ia l f low o ve r com p le te a ir2 . resistan ce an d to r sio n a l st iffn e ssA n added b en e2
craf t co n f igu ra t io n s a re th e p ro g ram s b a sed o n 22fit o f th e de lta w in g is th e h igh an g leo fa t tack
.p an e l m e tho d sT h e se m e tho d s can an a lyze a l2 ( ) typica lly 25 - 30?, a t w h ich th e m ax im um lif t
,m o st en t ire ly a rb it ra ry co n f igu ra t io n sw ith in th e. 10?22, o ccu r sA bo ve an g leo fa t tack h igh ly sep a2
.lim ita t io n s o f po ten t ia l f low com p u ta t io n sA lso rated an d stab le vo r tex f low s dom in a te th e p ic tu re
e de lta w in gT h e vo r tex ( a lte rn a t ive f ie ld d isc re t iza t io n tech n iqu e s f in
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ing a irc raf t a re u su2 o f th e co n f igu ra t io n an d no t thro u gho u t th e ex te r2 a lly lim ited b y th e lack o f stability an d co n t ro l in 2n a l sp ace lik e th e so lu t io n o fth e fu ll N av ie r 22th e h igh an g leo fa t tack an d low sp eedf ligh t ; S to k e s equ a t io n sw h ich requ ire th e d isc re tiza t io n . , reg im eIn th is f ligh t reg im eth e a irc raf t expe r i2 . in th e w ho le f lu id dom a inT h e p an e l m e tho d s are en ce s bo th lo ss o f co n t ro l du e to co n t ro l su rfaceve ry a t t rac t ive fo r th e ro u t in e u se an d fo r th e u seb lan k e t in g a s w e ll a s e r ra t ic fo rce s an d m om en t s.o n m ed ium o r even sm a ll com p u t in g fac ilit ie s
., in du ced b y vo r tex a symm e t r ie sO f ten th e co n2 t rollab ility requ irem en t s fo r th e a irc raf t lim it th e
222,m ax im um an g leo fa t tack to a p resta ll an g leth u s e lim ina t in g f ligh t a t th e m ax im um lif t o f th e
.a irc raf tT h e n eed fo r sup e rm an eu ve rab ility re2
2quire s co n t ro lled f ligh t in th e po ststa ll reg im e fo r 5. ,. 1 fu tu re f igh te r sD u e to th e se p ro sp ec t sth e F igAirc raf t w ith st rak e s
T o com p u te su rface p re ssu re s, fo rce s, an d in f ligh t reg im e s c lo se to o r b sea rch fo r co n t ro llab ility o f low a sp ec t ra t io w in g s p a st f if teen yea r s , ,com b in a t io n th e sam e m a th em a t ica l m o de lin g In th is eyo n d th e sta ll h a s |
pap e r, a m o d if ied th ree2d im en sio n a l
isu sed. A su itab le p an e l2 a s show n in R ef. 17 , 2low o rde r pan e l m e tho d in co n ju n c t io n w ith th e
ing m o de l is im p lem en ted fo r th e d isc re t iza t io n o f2sem iem p ir ica l fo rm u la s o f da ta com p en d ium ( ). 2.th ea irc raf t m o de l see F ig () DA T COM is u sed to e st im a te the ae ro dyn am ic
(load s o f th e com p le te a irc raf t co n f igu ra t io n fu se2
)++ . lage w in g ta ilT h e op t im a l de sign o f L EX
()layo u t p lan fo rm is ach ieved u sin g th e g lo b a lly adap tive op t im iza t io n tech no lo gy o f gen e t ic a lgo 2
(). r ithm GA Geom e t ry an d en g in e p e rfo rm an ce de ta ils of th e se lec ted sup e r so n ic a irc raf t co n f igu2
16 . 225 . R tu rbo je t en g in e a re o b ta in ed f rom R efF ig. 2 P ane l d isc re t iza t () 22122/ra t io n M igB izF ish b edN w ith T um an sk y io n o f se lec ted m o de l C f T h e ave rage sk in f r ic t io n d rag co eff ic ien t /ae ro dyn am ic an d p e rfo rm |
ance w ith w itho u t L EX
of th e su rface is fo u n d b y in teg ra t in g th e lo ca l fo r enh an c in g th e a irc raf t m an eu ve rab ility in th e
valu e s a lo n g th e len g th o f th e su rface co n sid2 .b a t t lea ren a
?1994-2013 China Academic Journal Electronic Publishing House. Allrights reserved.
18219 2. e red .Fo r lam in a r an d tu rb u len t t io n is o b ta inedF itn e ssp ropo r t ion a te se lec t io nf low s, th e
,is th e m o st comm o n se lec t io n m e tho d in GA f la t p la tesk in f r ic t io n co eff ic ien t s a re
11328w h e re th e n um b e r o f t im e s o f in d iv idu a l is exp ect2 ()L am in a r f low : 1 = a C f R e , ed to b e rep ro du cedan dis equ a l to it s f itn e ss d i2
20Tu rb u len t f low : v ided b y th e sum o f f itn e ss in th e pop ula t io n 01455 F i()1 f = b C 2158 2 0165()p = 3a i ( ) () lo gR e1+01144M a n 10
Fi. w h e re R e is th e R eyno ld s n um b e rFo r a w in g o f ? i=1 (?3, low a sp ec t ra t io an d in th e p re sen ted m o d2 w h ere F i is th e f itn e ss o f i an d n th e pop u la t io n ) 12, ,2e lth e a sp ec t ra t io is equ a l to th e a ir e scap 2 . , sizeTo com p u te th e op t im um L EX p lan fo rm
ssio n o f th e f itn e ss fu n c t io n is , fo rm a st ro n g vo r tex th u s c rea t in g an add it
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the slop e o f th e ( ) , , de sign p a ram e te r s +L EX CL EX r t wh e re +L EX is lif t cu rve is so d iff icu lt to e st im a te th at even re2 2th e lead in gedge sw eep an g le o f L EX an d CL EX r tis f in ed w in d tu n n e l te st s can no t p red ic t th e m ax i2. /th e L EX roo t cho rdT h e upp e rlow e r va lu e s o f . , m umlif t w ith g rea t accu racyH ow eve rth e in 2 de sign va r iab les w ith add it io n a l co n st ra in t s a re c rea se in th e m axim um lif t du e to th e vo r tex fo r2 21 , 1.u sed to p e rfo rm GAa s show n in T ab le m a t io n is im po r tan t an d can b e app rox im a te ly e s2
2t im a ted w ith d iffe ren t se t s o f ch a r t s fo r a low Table 1 Upperlower l im it va | |
lue s of de s ign var iable s w ith / |
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addit iona l con stra in ts 2, w h e re vo r tex f low dom in a te s asp ec tra t io w in g .D e sign va r iab le lim it s A dd it io na lco n st ra in t s th e ae ro dyn am ic s T h e m ax im um lif t coeff ic ien t
AL EX o f lif t in g su rface s a t a su b so n ic sp eed is g iven by 0101? ?R p e rA ref5??+?90? L EX ) (() CLm ax = CLm ax ba se + ?CLmax2 0101?? R A R A ??L EX p er x m in CL EX rt x m ax 0101?b?d L EX max w h e re CLm ax an d ?CLm ax a re th e m ax im um lif t co ef2
)(. f ic ien t an d it s in c rem en tT h e va lu e s o f CLm ax ba se
xm in , x m ax a re th e m in im a l an d th e m ax im a l w h e re and ?CLm ax can b e e st im a ted f rom th e ch a r t s o f
t io w in g s sp ec t ra t ioL EX |
;bL EX th e L EX sp and m ax th e co n f igu ra t io n m ax i2 R ITHM
.mum w id th an d R p e r th e p e rm issib le a rea ra t io GA is a glo b a l adap t ive m e tho d b a sed o n th e
.gen e t ic p ro ce ss o f b io lo g ica l o rgan ism sGA h a s 3 -AIRCRA FT M A NEUVERA B IL
been app lied to ae ro n au t ica l p ro b lem s in seve ra l ITYPERFO RM A NCE , w ay sin c lu d in g th e p a ram e t r ic an d co ncep tu a l de2
. sign o f a irc raf tT h e b a sic idea o f GA is to m a in2 2T h e a irc raf t lo ad fac to r | |
g o r som e t im e s g |
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(,ta in a pop u la t io n o f st r in g s o r ch rom o som e s lo ad dur in g a tu rn exp re sse s th e m an eu ve r in g o r
)w h ich a re co d in g o f a po ten t ia l so lu t io n to th e in the acce le ra t io n du e to lif t o f an a irc raf t a s a 2
mu lt ip le o f th e stan da rd acce le ra t io n du e to g rav i2 .ve st iga ted p ro b lemT h e n ew pop u la t io n is c rea t2
2)(ed b y se lec t in g ch rom o som e s f rom o ld pop u la t io n =9181 . /ty G m sFo r th e m an eu ve r in g p e rfo r2
,w ith a b ia s tow a rd f it te r m em b e r san d expo sin g , m ance o f an a irc raf tit is f requ en t ly advan tageo u s
ssib le tu rn ra te a t sm a ll ra2 is a llow ed to slow dow n du r2 |
eou s tu rn ″, g w ill b e o n ly lim it2
2ed b y th e m ax im um lif t co eff ic ien t o r th e st ru c2 g - 1W α ()4 ?= 17 () W G v /. , tu ra l st ren g th o f th e a irc raf tIn th is ca seth e
wh e re W is th e w e igh t o f th e a irc raf t an d it is a a ircraf t is no t p e rm it ted to slow dow n o r lo se a lt i2
(()) = , ; fu n c t io n o f m a ss m W f m G v is th e f ree . , tu dedu r in g th e tu rnIn
a su sta in ed tu rn th e | |
d rag an d th e lif t m u st equ a l |
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17αd iag ram o f th e p re sen t w o rk co n ce rn ed w ith th e . g tim e s th e w e igh t T h e tu rn ra te ?is o b ta in ed
.LEX de sign a s fo llow s
Fig. 3 F unc t io na l b lo ck d iag ram o f L EX de sign
15%= 014, 1513% = 20in c rea se s to a t M a a t M a
018,618% = 112 an d fo r M a in com p a r iso n w ith 4 RESUL TS A ND DISCUSS IO NS
ssu ch a s th e sw ep t an 2 , , g leth e roo t cho rd th e sp an w ith add it io n a l co n2 st ra laced ah ead o f th e w in g |
.. 4 o f th e se lec ted a irc raf tF igshow s th e op t im um
100p a ram e te r s o b ta in ed af te r GA ru n n in g gen e r2
( )4 show s th e va r ia t io n o f f itn e ss a t io n s. F ig. a fu n c t io n du r in g th e op t im iza t io n p ro ce ss in w h ich |
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40. it is f ix ed af te r gen e ra t io n sT h e op t im um
(). 4 . L EX geom e t ry can b e fo u n d in F igb T o
comp u te th e po ten t ia l f low a ro u n d th e se lec ted () aF itness h isto ry o f GA, 2a irc raf tth e com p u te r p ro g ram o f the low o rde r p an e l m e tho d f rom R ef. 17 is em p lo yed. T his p ro g ram is deve lop ed b y in c rea sin g th e n um b e r o f
, p an e lsadd in g th e effec t s o f sk in f r ic t io n d rag
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2the sem iem p ir ica l fo rm u la s o f DA T COM p red ic t th e lin ear p a r t o f th e lif t cu rve slop e an d th e d rag
.co eff ic ien tT h e a irc raf t lif t in th e fo rm o f fu n c2
() is p lo t ted fo r va r io u s M ach n um 2 t io n CL = f Α () b er s in F ig. 6. b E vo lu t io n o f L EX p lanfo rm p a ram e te r s
.4 F igL EX op t im um p a ram e te r s u sing GA T h e lif t fo r the m o de l w ith th e op t im um L EX
? 1994-2013 China Academic Journal Electronic Publishing House. All rights | |
reserved. |
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rat io , th e th ick n e ss ra t io an d th e lead in g edge
18sw ep t an g le a re u sed to p red ic t th e no n lin ea r
(22p a r t o f th e lif tcu rveslop e th e m ax im um lif t co 2
)eff ic ien tva r ia t io n w ith th e an g le o f a t tack a t th e
915% —15% fo r M a = 012 to 0195 w h en L EX is su b so n ic sp eed. F ig. 8 show s an in c rea se in
to th e dep en den ce o n th e m ax im um lif t co eff i2 |
,. 8.c ien ta s show n in F ig
Fig. 5 P ane ling m o de ls o f a irc raf t w ith and w itho u t L EX
lift F ig. 8 A e ro dynam ic lo ad fac to r and th e m ax im um
coeff ic ien t ve r su s M ach num be r
A616 % —810 % ga in in tu rn ra te m an eu ve r L if t co eff ic ient ve r su s ang le o f a t tack a t d iffe r2 F ig. 6
( ( ) ) . 9 , , reg io n see F ig sab is ach ievedw h ich in 1 5 fo r a lt itu de s an d km an d du r in g th e su b so n ic en t M ach num be r s
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turn in c rea se s in th e so 2ca lled ″co rn e r sp eed″. T h e
susta in ed lo ad fac to r can b e ach ieved b y so lv in g
the sp ec if ic ex ce ss pow e r equ a ls to ze ro acco rd in g
. 9. to th e f ligh t co n d it io n s show n in F igF rom th e , tu rn ra te d iag ram th e in te r sec t io n o f th e sta ll |
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limit an d th e st ru c tu ra l lim it def in e s th e co rn e r
.sp eedT h is sp eed is ve ry im po r tan t an d th e do g2
.figh t p ilo t t r ie s to reach it a s qu ick ly a s po ssib le
Th e m o de l w ith L EX can reach it s co rn e r sp eed a t
7, an a lt itu de o f km w h ich is b e t te r th an th e in i2
tia l co n f igu ra t io n. Po la r d iag ram o f m o de ls w ith andw itho u t L EX F ig.
7
5CO NCL US IO N
the po la r s o f th e a irc raf t in th e fo rm o f CL =
()(). T h e geom e t ry p lan fo rm o f L EX is op t i2 f CD T h e drag va r ia t io n s
rea so n ab le du e to h igh e r lif t effec t s o n th e in 2 m ized b a sed o n GA. In th e
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nw ith th e sem iem p ir ica l fo r2
3 B e r t in J J. A e ro dynam ic s fo r eng inee r s [M . U SA : |
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,2002.P ren t ice H a ll
.—4 See ley BL o ca l f low co n t ro l IA irc raf t re sea rch re2, po r tspo n so red and funded by th e exp e r im en ta l a ir2 [ .: . ///c raf t a sso c ia t io n EB OL h t tp unda2
.1. , 2004.//t io no rgap r slo ca lf low p df
,, . 5 S teven A B R anda ll J SB e r t in J JIn t ro duc t io n to :[. 2 .ae ro nau t ic sa de sign p e r sp ec t ive M nd E d it io n2004. U SA : A IA A E duca t io n Se r ie s,
6L ee B H K , T ang F C. B uffe t lo ad m ea su rem en t s o n 218222[ ./an F A ve r t ica l f in a t h igh ang leo fa t tack R
455fe renceD a lla sT X U SA A IA A () a, , . 7 Yeh ia M R Gu ru sw am y P GKen GN um e r ica l in2 |
218[. 2ve st iga t io n o f ta il buffe t o n F a irc raf t R A IA A
199222673,10th A IA A A pp lied A e ro dynam ic s Co n2
2,, , : , 1992: 573fe renceP a lo A lto CA U SA A IA A
587. |
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22, , . 8 A n Kuo F L an C E L ih Sh yung SA n exp e r im en2 | |
2tal inve st iga t io n o f th e effec t o f lead ingedge ex ten2
sion s o n d irec t io na l stab ility and th e effec t ivene ss o f
[. 2199222715, 10fo rebo dy no se st rak e s R A IA A th
,A IA A A pp lied A e ro dynam ic s Co nfe renceP a lo A l2
2854.,, : , 1992: 844to CA U SA A IA A
,. So h n M H L ee K YE xp e r im en ta l inve st iga t io n o f 9
2vo r tex f low o f a yaw ed de lta w ing h av ing lead ing() b2200223267, 20[ . edge ex ten sio n R A IA A th A IA A
,. , A pp lied A e ro dynam ic s Co nfe renceS tL o u isM is2 9 F ig.V a r ia t io n o f tu rn ra te m aneuve r w ith M ach , : , 2002.sou r iU SA A IA A num be r fo r tw o a lt
inc idence vo r t ica l f low o f a de lta w ing w ith th e lead2 m u la s o f DA T COM ,
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evada:A IA A , . c rea se s w h en L EX is in sta lledL EX s a re m o re 11H ebba r S K , P la tze r M F , C h ang W H. Co n t ro l o f b en efic ia l fo r com b a t f igh te r a irc raf t b ecau se 22h igh incidence vo r t ica l f low o n do ub lede lta w ing s th e se a ircraf t a re m o re o f ten u n de r th e f ligh t co n2 [ . ,1997,unde rgo ing side slip J Jo u rna l o f A irc raf t , ,d it io ns w h e re L EX is m o st ly u sefu lfo r ex am p le () 34 4:5062513.
.h igh an g le o f a t tack m an eu ve r sT h e op t im iza t io n .12 V e rh aagen N GE ffec t s o f R eyno ld s num be r o n
2 p ro b lem requ ire s a ca refu l a t ten t io n an d m u lt i7022[. /f low o ve r deg | |
ree do ub lede lta w ing J Jo u r2 |
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2()d isc ip lin a ryae ro dyn am ic an d p e rfo rm an ce t rea t2 na lo f A irc raf t, 2002, 39 6: 104521052.
13H o e ijm ak e r s H W M , V aa t st ra W , V e rh aagen N G. , , , men tw h ich seem s to b ea s f in a llyit s adequ a te
2[. V o r tex f low o ve r de lta and do ub lede lta w ing s J .so lu tio n
(), 1983, 20 9: 8252832.Jo u rna l o f A irc raf t
Referen ce s: 14 . E r ic sso n L EV o r tex ch a rac te r ist ic s o fp itch ing 2[.Jo u rna l o f A irc raf t, 1999, 36 do ub lede lta wing s J 1 H ueneck e K. M o de rn com ba t a irc raf t de sign [M .
()2: 3492356. 1987. U SA : N ava l In st itu te P re ss,
ay T , e t a l. A e ro dynam ic ing w ith a bo dyh inged
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?1994-2013 China Academic Journal Electronic Publishing House. Allrights reserved.
2//1118[ ]lead ingedge ex ten sio n C th A IA A A pp lied H o ak D E , Finck R D , E lliso n D E , e t a l. U SA F
.A e ro dynam ic s Co nfe rence, M o n te rey, CA , U SA : DA T COM Air Fo rce F ligh t D ynam ic s L abo ra to ry
[.: 2, 1975. 2375. 1993: 368R O h ioW r igh tP a t te r so n A ir Force B a seA IA A ,
19 . : 16 JA N E ′S. A ll th e w o r ld′s a irc raf t [ S . J ane′s P ub2 R aym e r PA irc raf t de signa co ncep tua l de sign [. : , 1992., , 1998.M U SA A IA A E duca t io n Se r ie s lish ing IncN ew Yo rk |
.M itch e ll M A n in t ro duc t io n to gene t ic a lgo r ithm s 2017 A bba s L K , C h en Q , H an J L. Im p ro vem en t o f
[.: , M U SA M a ssach u se t t s In st itu te o f T ech no lo gyae rodynam ic p e rfo rm ance o f sup e r so n ic a irc raf t u sing
,1996.th e M IT P re ss [. cana rd su rface w ith TV FC J T ran sac tio n s o f N an2 . [ .N ico la i LF undam en ta l o f a irc raf t design M ,jing U n ive r sity o f A e ro nau t ic s and A st ro nau tic s 21
:, 1984.() U SA M e t s 2006, 23 3: 1732184.
利用几何遗传方法优化前缘翼根延伸的
外形以增强飞行器升力系数和机动性
陈前A bba s L K |
升力系数最大值提升了915%～15%。在1～5的高度亚LEX km 音速飞行时,其回转率得到了616%～810%的提升。
维低阶板方法结合方法半经验公式的改进方法DAT COM
()预测复杂外形飞行器机身+机翼+尾翼的空气动力载荷
和最大升力系数。结果表明,在前缘翼根存在的情况下,升关键词:
前缘翼根延伸;升力系数;机动性;遗传算法
中图分类号:211力系数在马赫数为014～018时提升了2015%～1513%, 在V
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