⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 f16aerodata.m

📁 基于Matlab2007的美军F16战斗机的非线性模型
💻 M
📖 第 1 页 / 共 5 页
字号:
   -2.0670   -2.1230   -2.1070   -2.1450   -2.0530   -1.9110   -1.9740   -2.0240   -1.9260   -1.9400   -1.9670   -1.8910   -1.9780   -1.9760   -1.8720  -1.9640   -1.9260   -1.9420   -1.8860;
   -2.0080   -2.0200   -1.9550   -2.0760   -2.0260   -2.1160   -2.0610   -2.0570   -2.0730   -2.0570   -2.0340   -2.0330   -2.0300   -2.0950   -1.9960   -2.0460   -1.9250   -1.9900   -1.9780];
f16data.CZ(:,:,5) = [0.7230    0.7500    0.7440    0.7440    0.7110    0.7090    0.6970    0.6970    0.6960    0.7100    0.7040    0.7150    0.7200    0.7210    0.7210  0.7500    0.7500    0.7400    0.7100;
    0.5120    0.4950    0.4610    0.4650    0.4700    0.4700    0.4710    0.4670    0.4830    0.4760    0.4810    0.4720    0.4750    0.4730    0.4730   0.4650    0.4700    0.4900    0.5150;
    0.2490    0.2120    0.1860    0.1950    0.2030    0.2050    0.2020    0.2030    0.2070    0.2050    0.2000    0.1940    0.1980    0.1980    0.2010   0.1850    0.1900    0.2100    0.2500;
    0.1000    0.0900    0.0900    0.0950    0.1110    0.1220    0.1220    0.1220    0.1210    0.1250    0.1210    0.1140    0.1070    0.0970    0.1010   0.0810    0.0770    0.0770    0.0930;
   -0.1500   -0.1900   -0.2200   -0.2350   -0.2320   -0.2240   -0.2240   -0.2210   -0.2270   -0.2280   -0.2310   -0.2320   -0.2390   -0.2410   -0.2440  -0.2440   -0.2320   -0.2070   -0.1640;
   -0.3850   -0.4600   -0.5150   -0.5550   -0.5660   -0.5630   -0.5660   -0.5710   -0.5720   -0.5780   -0.5780   -0.5990   -0.5880   -0.5770   -0.5790  -0.5590   -0.5280   -0.4670   -0.3980;
   -0.6200   -0.6900   -0.7600   -0.8300   -0.8920   -0.8910   -0.9100   -0.9240   -0.9390   -0.9460   -0.9490   -0.9360   -0.9450   -0.9240   -0.9130  -0.8760   -0.8130   -0.7240   -0.6260;
   -0.8650   -0.9900   -1.0900   -1.1700   -1.2080   -1.2150   -1.2390   -1.2500   -1.2690   -1.2530   -1.2400   -1.2550   -1.2550   -1.2570   -1.2450   -1.1980   -1.1030   -0.9900   -0.8910;
   -1.0550   -1.1950   -1.3200   -1.4300   -1.5190   -1.5500   -1.5640   -1.5580   -1.5550   -1.5540   -1.5630   -1.5490   -1.5770   -1.5780   -1.5630  -1.4530   -1.3580   -1.2410   -1.0970;
   -1.3600   -1.4600   -1.5700   -1.6700   -1.7630   -1.7970   -1.7940   -1.8060   -1.8200   -1.8140   -1.8110   -1.8160   -1.7980   -1.8000   -1.7850   -1.6610   -1.5950   -1.4790   -1.3710;
   -1.5200   -1.6350   -1.7500   -1.8700   -1.9890   -2.0580   -2.0950   -2.1070   -2.1120   -2.1080   -2.1060   -2.0940   -2.0790   -2.0660   -2.0430  -1.9430   -1.8040   -1.6810   -1.5680;
   -1.6150   -1.7500   -1.8750   -1.9950   -2.1110   -2.1540   -2.2000   -2.2400   -2.2420   -2.2480   -2.2610   -2.2550   -2.2310   -2.1980   -2.1550   -2.0370   -1.9150   -1.7600   -1.6700;
   -1.7750   -1.8750   -1.9800   -2.0950   -2.2160   -2.2870   -2.2690   -2.3010   -2.2100   -2.3370   -2.3450   -2.3280   -2.2710   -2.2590   -2.2290   -2.0890   -1.9910   -1.8970   -1.8040;
   -1.7400   -1.8450   -1.9250   -2.0000   -2.1300   -2.2510   -2.2860   -2.2700   -2.2390   -2.3270   -2.2890   -2.2880   -2.3120   -2.2820   -2.2320  -2.0990   -2.0300   -1.9450   -1.8340;
   -1.5700   -1.7400   -1.9000   -2.0500   -2.1560   -2.2160   -2.2030   -2.1580   -2.1750   -2.2610   -2.2660   -2.2620   -2.2550   -2.1530   -2.2010  -2.1100   -1.9840   -1.8410   -1.6370;
   -1.7000   -1.8100   -1.8800   -1.9500   -2.0430   -2.1700   -2.1840   -2.1110   -2.2040   -2.2310   -2.2030   -2.1020   -2.1350   -2.1730   -2.1070  -1.9500   -1.8920   -1.8770   -1.7650;
   -1.7950   -1.8950   -1.9600   -2.0200   -2.1130   -2.0940   -2.1240   -2.1240   -2.1340   -2.1740   -2.1770   -2.1030   -2.1530   -2.1760   -2.1440  -2.0000   -1.9600   -1.9300   -1.8380;
   -1.7800   -1.7850   -1.7900   -1.8100   -1.8730   -1.9430   -2.0590   -2.2740   -2.0000   -2.2590   -2.2110   -1.8850   -2.2210   -2.2120   -2.1250  -1.9700   -1.9070   -1.8820   -1.8740;
   -1.9500   -1.9800   -1.9800   -1.9600   -1.9110   -1.8810   -1.9550   -2.0050   -1.8940   -1.8990   -2.0090   -2.0140   -2.1010   -2.0140   -1.8250  -1.8400   -1.8990   -1.9220   -1.8730;
   -1.9250   -1.9200   -1.8700   -1.8850   -1.9690   -2.0710   -2.0290   -2.0390   -2.0700   -2.0690   -2.0260   -2.0050   -2.0000   -2.0850   -2.0070  -1.9350   -1.9480   -1.9890   -1.9510];

% CZ_lef(alpha2,beta)
f16data.CZ_lef = [1.1830    1.2460    1.2790    1.2900    1.3690    1.3640    1.2970    1.2770    1.2760    1.2560    1.2810    1.2800    1.3120    1.3150    1.3060  1.2270    1.2160    1.1830    1.1200;
    0.9600    1.0180    1.0550    1.0930    1.0580    1.0390    1.0310    1.0190    1.0250    1.0350    1.0330    1.0420    1.0430    1.0560    1.0560  1.0910    1.0530    1.0160    0.9580;
    0.7090    0.7100    0.7020    0.7040    0.7010    0.7100    0.7300    0.7290    0.7290    0.7250    0.7290    0.7280    0.7280    0.7230    0.7110   0.7140    0.7120    0.7200    0.7190;
    0.2220    0.2160    0.2310    0.2270    0.2400    0.2430    0.2440    0.2490    0.2490    0.2480    0.2480    0.2420    0.2390    0.2350    0.2290   0.2160    0.2200    0.2050    0.2110;
   -0.0660   -0.0840   -0.0900   -0.1050   -0.1040   -0.0990   -0.1070   -0.0990   -0.0990   -0.1000   -0.1010   -0.1040   -0.1040   -0.1040   -0.1060  -0.1070   -0.0920   -0.0860   -0.0680;
   -0.3170   -0.3470   -0.3900   -0.4140   -0.4200   -0.4170   -0.4170   -0.4210   -0.4240   -0.4280   -0.4210   -0.4280   -0.4220   -0.4230   -0.4250  -0.4190   -0.3950   -0.3520   -0.3220;
   -0.5690   -0.6190   -0.6790   -0.7030   -0.7280   -0.7650   -0.7720   -0.7740   -0.7720   -0.7740   -0.7700   -0.7670   -0.7610   -0.7540   -0.7560  -0.7310   -0.7070   -0.6450   -0.5970;
   -0.8530   -0.9290   -1.0180   -1.0700   -1.0980   -1.1160   -1.1144   -1.1510   -1.1420   -1.1390   -1.1350   -1.1180   -1.1120   -1.1070   -1.0990  -1.0710   -1.0190   -0.9300   -0.8540;
   -1.1060   -1.1680   -1.2280   -1.3140   -1.3480   -1.3590   -1.3620   -1.3520   -1.3570   -1.3550   -1.3710   -1.3760   -1.3700   -1.3790   -1.3990  -1.3650   -1.2790   -1.2190   -1.1570;
   -1.3140   -1.4070   -1.4650   -1.5060   -1.5640   -1.5980   -1.6280   -1.6470   -1.6460   -1.6500   -1.6420   -1.6410   -1.6180   -1.5990   -1.5850  -1.5270   -1.4860   -1.4280   -1.3350;
   -1.4960   -1.5100   -1.5890   -1.6920   -1.7750   -1.8140   -1.8460   -1.8750   -1.8790   -1.8830   -1.8910   -1.8760   -1.8430   -1.8380   -1.8110  -1.7280   -1.6250   -1.5460   -1.5320;
   -1.5940   -1.6940   -1.8070   -1.8750   -1.9570   -1.9760   -2.0320   -2.0600   -2.0700   -2.0770   -2.0380   -2.0390   -2.0280   -2.0050   -1.9860  -1.9040   -1.8360   -1.7130   -1.6230;
   -1.6830   -1.7550   -1.9120   -1.9990   -2.1110   -2.1490   -2.1470   -2.2040   -2.2070   -2.2040   -2.2050   -2.1950   -2.1930   -2.1740   -2.1330  -2.0210   -1.9340   -1.7770   -1.7050;
   -1.6640   -1.7830   -1.8590   -1.9620   -2.0300   -2.1290   -1.9170   -2.1430   -2.0500   -2.2080   -2.2010   -2.1820   -2.0770   -2.2090   -2.1260  -2.0580   -1.9550   -1.8790   -1.7600];

% CZq(alpha1)
f16data.CZq = [-23.9000  -23.9000  -23.9000  -29.5000  -29.5000  -30.5000  -31.3000  -30.1000  -27.7000  -28.2000  -29.0000  -29.8000  -38.3000  -35.3000  -32.3000 -27.3000  -25.2000  -27.3000   -9.3500   -2.1600]';

% dCZq_lef(alpha2)
f16data.dCZq_lef = [15.1000   15.1000   15.1000    3.7000    0.6000   -1.3000    0.3000   -3.8000   -4.6000   -0.2000   -2.7000   -3.5000   -1.3000   -0.6500]';

%--------------------------------------------------------------------------
% Cm,T
%--------------------------------------------------------------------------
% Cm(alpha1,beta,de1)
f16data.Cm(:,:,1) = [0.2059    0.1937    0.1918    0.1850    0.1692    0.1693    0.1770    0.1746    0.1742    0.1750    0.1721    0.1758    0.1801    0.1826    0.1912   0.2070    0.2140    0.2160    0.2270;
    0.1698    0.1650    0.1733    0.1723    0.1533    0.1618    0.1639    0.1607    0.1597    0.1584    0.1589    0.1615    0.1573    0.1534    0.1464   0.1650    0.1670    0.1580    0.1630;
    0.1426    0.1579    0.1807    0.1641    0.1533    0.1586    0.1595    0.1629    0.1615    0.1590    0.1566    0.1534    0.1523    0.1489    0.1493   0.1580    0.1750    0.1530    0.1380;
    0.1620    0.1770    0.1530    0.1450    0.1380    0.1365    0.1329    0.1269    0.1242    0.1216    0.1183    0.1212    0.1236    0.1267    0.1303   0.1373    0.1444    0.1679    0.1538;
    0.1530    0.1540    0.1480    0.1450    0.1445    0.1438    0.1430    0.1411    0.1412    0.1409    0.1410    0.1409    0.1403    0.1409    0.1414   0.1448    0.1453    0.1523    0.1513;
    0.1470    0.1530    0.1560    0.1570    0.1586    0.1595    0.1585    0.1577    0.1580    0.1580    0.1591    0.1584    0.1576    0.1572    0.1573   0.1568    0.1557    0.1540    0.1472;
    0.1500    0.1620    0.1650    0.1700    0.1746    0.1758    0.1768    0.1778    0.1833    0.1845    0.1840    0.1824    0.1811    0.1797    0.1784   0.1750    0.1701    0.1663    0.1547;
    0.1670    0.1760    0.1910    0.1960    0.2000    0.2012    0.2041    0.2062    0.2069    0.2087    0.2070    0.2066    0.2055    0.2022    0.2000   0.1958    0.1901    0.1755    0.1668;
    0.1510    0.1700    0.1900    0.2020    0.2073    0.2098    0.2122    0.2129    0.2137    0.2152    0.2133    0.2118    0.2109    0.2082    0.2061   0.1991    0.1878    0.1618    0.1479;
    0.1200    0.1470    0.1750    0.1940    0.2043    0.2028    0.2028    0.1991    0.1981    0.1978    0.1969    0.1957    0.1958    0.1948    0.1953   0.1877    0.1687    0.1406    0.1130;
    0.1080    0.0670    0.0980    0.1500    0.1704    0.1930    0.1985    0.2009    0.2022    0.2022    0.2021    0.2007    0.1972    0.1947    0.1901   0.1696    0.1186    0.0889    0.1270;
    0.0820    0.0470    0.0680    0.0810    0.1174    0.1233    0.1522    0.1713    0.1789    0.1814    0.1815    0.1799    0.1790    0.1703    0.1459    0.1124    0.0962    0.0757    0.1132;
    0.1130    0.0500    0.0600    0.0870    0.1131    0.1279    0.1341    0.1433    0.1483    0.1478    0.1291    0.1312    0.1245    0.1025    0.1028    0.0745    0.0495    0.0406    0.1024;
    0.0930    0.0660    0.0650    0.0530    0.0734    0.0914    0.0968    0.0848    0.0935    0.0922    0.0940    0.0838    0.0610    0.0491    0.0420   0.0208    0.0343    0.0338    0.0600;
   -0.0150   -0.0110   -0.0250    0.0150    0.0663    0.0644    0.0498    0.0407    0.0521    0.0745    0.0670    0.0453    0.0373    0.0320    0.0397  -0.0114   -0.0514   -0.0371   -0.0408;
    0.0190    0.0170   -0.0860   -0.0040    0.0794    0.0494    0.0174    0.0530    0.0292    0.0713    0.0404    0.0007   -0.0024    0.0165    0.0281  -0.0562   -0.1373   -0.0343   -0.0335;
   -0.0360   -0.0230   -0.0750   -0.0600   -0.0627   -0.0705   -0.0556   -0.0534   -0.0549   -0.0540   -0.0618   -0.0674   -0.0828   -0.0849   -0.1004  -0.0976   -0.1117   -0.0599   -0.0714;
   -0.3070   -0.3080   -0.2850   -0.3050   -0.2769   -0.2648   -0.1828   -0.2115   -0.2032   -0.2244   -0.2264   -0.2195   -0.2054   -0.2203   -0.2191  -0.2479   -0.2276   -0.2518   -0.2503;
   -0.3650   -0.3980   -0.4030   -0.3870   -0.3411   -0.3344   -0.3425   -0.3455   -0.3254   -0.3389   -0.3522   -0.3187   -0.3262   -0.3283   -0.3285  -0.3763   -0.3923   -0.3857   -0.3532;
   -0.5260   -0.5270   -0.5150   -0.5040   -0.4900   -0.5157   -0.4801   -0.4970   -0.4831   -0.4723   -0.4830   -0.4818   -0.4911   -0.5074   -0.4863  -0.5001   -0.5124   -0.5227   -0.5219];
f16data.Cm(:,:,2) = [0.1469    0.1272    0.1210    0.1075    0.0798    0.0756    0.0800    0.0827    0.0853    0.0864    0.0782    0.0811    0.0821    0.0847    0.0965   0.1240    0.1376    0.1439    0.1631;
    0.1087    0.0956    0.0947    0.0885    0.0581    0.0549    0.0505    0.0427    0.0378    0.0328    0.0353    0.0426    0.0481    0.0499    0.0524   0.0823    0.0891    0.0898    0.1002;
    0.0784    0.0743    0.0852    0.0619    0.0390    0.0344    0.0290    0.0249    0.0177    0.0041    0.0169    0.0227    0.0280    0.0311    0.0357   0.0585    0.0820    0.0707    0.0752;
    0.0570    0.0620    0.0440    0.0320    0.0170    0.0160    0.0120    0.0080    0.0100    0.0076    0.0070    0.0080    0.0100    0.0110    0.0120   0.0270    0.0390    0.0580    0.0520;
    0.0520    0.0540    0.0430    0.0390    0.0420    0.0410    0.0420    0.0430    0.0430    0.0430    0.0420    0.0430    0.0370    0.0380    0.0378   0.0430    0.0450    0.0570    0.0500;
    0.0520    0.0420    0.0500    0.0530    0.0540    0.0530    0.0540    0.0530    0.0520    0.0501    0.0520    0.0510    0.0510    0.0510    0.0510   0.0510    0.0490    0.0430    0.0520;
    0.0280    0.0350    0.0400    0.0400    0.0470    0.0480    0.0500    0.0500    0.0510    0.0553    0.0520    0.0530    0.0520    0.0520    0.0510   0.0430    0.0420    0.0380    0.0300;

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -