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カスタム衛星姿勢とジンバルステアリングのモデリング
この例では、timetable
または timeseries
から記録された方向データを使用して、衛星シナリオで衛星またはジンバルを向ける方法を示します。これは、Aerospace Blockset ™ Spacecraft Dynamics ブロックによって生成されたデータを使用します。データとその生成方法の詳細については、Aerospace Blockset の例 衛星シナリオによる宇宙機姿勢プロファイルの分析 を参照してください。
satelliteScenario
オブジェクトを使用すると、以前に生成され、タイムスタンプが付けられたエフェメリスと姿勢データを timeseries
または timetable
オブジェクトとしてシナリオに読み込むことができます。データはシナリオの時間ステップに合わせて scenario
オブジェクトに補間され、Simulink モデルで生成されたデータを新しいまたは既存の satelliteScenario
オブジェクトに組み込むことができます。この例では、衛星の軌道と姿勢の状態は、Spacecraft Dynamics ブロックによって事前に計算されます。このデータをワークスペースにロードし、アクセス分析のために衛星を satelliteScenario
オブジェクトにモデル化するために使用します。
ミッションパラメータと衛星の初期条件を定義する
ミッションの開始日と期間を指定します。この例では、MATLAB ® 構造を使用してミッション データを整理します。これらの構造により、例の後半でのデータへのアクセスがより直感的になります。また、グローバル ベース ワークスペースの整理にも役立ちます。
mission.StartDate = datetime(2021,1,1,12,0,0); mission.Duration = hours(1.5);
衛星の初期軌道要素を指定します。
mission.Satellite.SemiMajorAxis = 7.2e6; % meters mission.Satellite.Eccentricity = .05; mission.Satellite.Inclination = 70; % deg mission.Satellite.ArgOfPeriapsis = 0; % deg mission.Satellite.RAAN = 215; % deg mission.Satellite.TrueAnomaly = 200; % deg
衛星の初期姿勢状態を指定します。
mission.Satellite.q0 = [1, 0, 0, 0];
mission.Satellite.pqr = [0, 0, 0]; % deg/s
エフェメリスと姿勢プロファイルをロードする
この例のデータを生成するために使用された Simulink ® モデルは、衛星がアマゾン熱帯雨林の地域を上空飛行してその地域の画像を撮影し、その地域の森林破壊の傾向を追跡する地球観測ミッションを実行するように構成されています。
衛星は、アクティブに画像を撮影していないときや、ノルウェーのスヴァールバル諸島の地上局にダウンリンクしていないときは、天底を向いています。Aerospace Blockset 姿勢プロファイル ブロックは、コマンドされた姿勢を計算します。衛星は軌道伝播に球面調和重力モデル EGM2008 を使用します。重力勾配トルクの寄与も姿勢力学に含まれます。このモデルの詳細については、Aerospace Blockset の例 衛星シナリオによる宇宙機姿勢プロファイルの分析 を参照してください。
timetable
オブジェクトには、ミッション全体にわたる衛星の位置と姿勢のデータが含まれています。データは慣性 (ICRF/GCRF) 参照フレームで参照されます。姿勢値は四元数として表現されますが、オイラー角もサポートされています。
mission.Data = load("SatelliteScenarioCustomAttitudeData.mat", "PositionTimeTableGCRF", "AttitudeTimeTableGCRF2Body"); display(mission.Data.PositionTimeTableGCRF)
1148×1 timetable Time Data __________ _________________________________________ 0 sec 5.2953e+06 4.784e+06 -2.422e+06 5 sec 5.2783e+06 4.7859e+06 -2.4532e+06 10 sec 5.2611e+06 4.7877e+06 -2.4842e+06 13.263 sec 5.2499e+06 4.7888e+06 -2.5045e+06 15 sec 5.2439e+06 4.7894e+06 -2.5152e+06 16.982 sec 5.237e+06 4.79e+06 -2.5275e+06 18.72 sec 5.231e+06 4.7906e+06 -2.5382e+06 20 sec 5.2265e+06 4.791e+06 -2.5462e+06 25 sec 5.209e+06 4.7925e+06 -2.577e+06 30 sec 5.1914e+06 4.7938e+06 -2.6079e+06 35 sec 5.1737e+06 4.7951e+06 -2.6386e+06 40 sec 5.1559e+06 4.7962e+06 -2.6693e+06 45 sec 5.1379e+06 4.7972e+06 -2.6999e+06 50 sec 5.1198e+06 4.7982e+06 -2.7305e+06 55 sec 5.1016e+06 4.799e+06 -2.761e+06 60 sec 5.0832e+06 4.7997e+06 -2.7915e+06 65 sec 5.0648e+06 4.8002e+06 -2.8218e+06 70 sec 5.0462e+06 4.8007e+06 -2.8522e+06 75 sec 5.0275e+06 4.8011e+06 -2.8824e+06 80 sec 5.0087e+06 4.8013e+06 -2.9126e+06 85 sec 4.9898e+06 4.8014e+06 -2.9427e+06 90 sec 4.9708e+06 4.8014e+06 -2.9727e+06 95 sec 4.9516e+06 4.8013e+06 -3.0027e+06 100 sec 4.9324e+06 4.8011e+06 -3.0326e+06 105 sec 4.913e+06 4.8008e+06 -3.0624e+06 110 sec 4.8935e+06 4.8004e+06 -3.0922e+06 115 sec 4.8739e+06 4.7998e+06 -3.1219e+06 120 sec 4.8541e+06 4.7992e+06 -3.1515e+06 125 sec 4.8343e+06 4.7984e+06 -3.181e+06 127.05 sec 4.8261e+06 4.7981e+06 -3.1931e+06 127.91 sec 4.8227e+06 4.7979e+06 -3.1982e+06 128.78 sec 4.8192e+06 4.7978e+06 -3.2033e+06 130 sec 4.8143e+06 4.7975e+06 -3.2105e+06 132.95 sec 4.8025e+06 4.797e+06 -3.2278e+06 135 sec 4.7943e+06 4.7965e+06 -3.2398e+06 140 sec 4.7741e+06 4.7954e+06 -3.2692e+06 145 sec 4.7538e+06 4.7942e+06 -3.2984e+06 150 sec 4.7334e+06 4.7929e+06 -3.3275e+06 155 sec 4.7129e+06 4.7914e+06 -3.3566e+06 160 sec 4.6922e+06 4.7899e+06 -3.3856e+06 165 sec 4.6715e+06 4.7882e+06 -3.4145e+06 170 sec 4.6506e+06 4.7864e+06 -3.4434e+06 175 sec 4.6297e+06 4.7845e+06 -3.4721e+06 180 sec 4.6086e+06 4.7825e+06 -3.5008e+06 185 sec 4.5874e+06 4.7804e+06 -3.5294e+06 190 sec 4.5662e+06 4.7782e+06 -3.5579e+06 195 sec 4.5448e+06 4.7758e+06 -3.5863e+06 200 sec 4.5233e+06 4.7734e+06 -3.6147e+06 205 sec 4.5017e+06 4.7708e+06 -3.6429e+06 210 sec 4.48e+06 4.7681e+06 -3.6711e+06 215 sec 4.4581e+06 4.7653e+06 -3.6992e+06 220 sec 4.4362e+06 4.7624e+06 -3.7272e+06 225 sec 4.4142e+06 4.7594e+06 -3.7551e+06 230 sec 4.3921e+06 4.7563e+06 -3.7829e+06 235 sec 4.3698e+06 4.753e+06 -3.8106e+06 240 sec 4.3475e+06 4.7497e+06 -3.8382e+06 245 sec 4.325e+06 4.7462e+06 -3.8658e+06 250 sec 4.3025e+06 4.7426e+06 -3.8932e+06 255 sec 4.2799e+06 4.7389e+06 -3.9206e+06 260 sec 4.2571e+06 4.7351e+06 -3.9479e+06 265 sec 4.2343e+06 4.7312e+06 -3.975e+06 270 sec 4.2113e+06 4.7271e+06 -4.0021e+06 275 sec 4.1883e+06 4.723e+06 -4.0291e+06 280 sec 4.1651e+06 4.7188e+06 -4.056e+06 285 sec 4.1419e+06 4.7144e+06 -4.0828e+06 290 sec 4.1185e+06 4.7099e+06 -4.1095e+06 295 sec 4.0951e+06 4.7053e+06 -4.1361e+06 300 sec 4.0716e+06 4.7006e+06 -4.1626e+06 305 sec 4.0479e+06 4.6958e+06 -4.189e+06 310 sec 4.0242e+06 4.6909e+06 -4.2153e+06 315 sec 4.0004e+06 4.6858e+06 -4.2415e+06 320 sec 3.9764e+06 4.6807e+06 -4.2676e+06 325 sec 3.9524e+06 4.6754e+06 -4.2936e+06 330 sec 3.9283e+06 4.6701e+06 -4.3195e+06 335 sec 3.9041e+06 4.6646e+06 -4.3453e+06 340 sec 3.8798e+06 4.659e+06 -4.371e+06 345 sec 3.8554e+06 4.6533e+06 -4.3965e+06 350 sec 3.8309e+06 4.6475e+06 -4.422e+06 355 sec 3.8064e+06 4.6415e+06 -4.4474e+06 360 sec 3.7817e+06 4.6355e+06 -4.4726e+06 365 sec 3.7569e+06 4.6293e+06 -4.4978e+06 370 sec 3.7321e+06 4.6231e+06 -4.5229e+06 375 sec 3.7072e+06 4.6167e+06 -4.5478e+06 380 sec 3.6821e+06 4.6102e+06 -4.5726e+06 385 sec 3.657e+06 4.6036e+06 -4.5974e+06 390 sec 3.6318e+06 4.5969e+06 -4.622e+06 395 sec 3.6065e+06 4.5901e+06 -4.6465e+06 400 sec 3.5812e+06 4.5832e+06 -4.6709e+06 405 sec 3.5557e+06 4.5762e+06 -4.6951e+06 410 sec 3.5302e+06 4.569e+06 -4.7193e+06 415 sec 3.5045e+06 4.5618e+06 -4.7434e+06 420 sec 3.4788e+06 4.5544e+06 -4.7673e+06 425 sec 3.453e+06 4.547e+06 -4.7911e+06 430 sec 3.4272e+06 4.5394e+06 -4.8148e+06 435 sec 3.4012e+06 4.5317e+06 -4.8384e+06 440 sec 3.3751e+06 4.5239e+06 -4.8619e+06 445 sec 3.349e+06 4.516e+06 -4.8852e+06 450 sec 3.3228e+06 4.508e+06 -4.9085e+06 455 sec 3.2965e+06 4.4998e+06 -4.9316e+06 460 sec 3.2702e+06 4.4916e+06 -4.9546e+06 465 sec 3.2437e+06 4.4833e+06 -4.9775e+06 470 sec 3.2172e+06 4.4748e+06 -5.0003e+06 475 sec 3.1906e+06 4.4663e+06 -5.0229e+06 480 sec 3.1639e+06 4.4576e+06 -5.0454e+06 485 sec 3.1372e+06 4.4488e+06 -5.0678e+06 490 sec 3.1104e+06 4.44e+06 -5.0901e+06 495 sec 3.0834e+06 4.431e+06 -5.1122e+06 500 sec 3.0565e+06 4.4219e+06 -5.1343e+06 505 sec 3.0294e+06 4.4127e+06 -5.1562e+06 510 sec 3.0023e+06 4.4034e+06 -5.1779e+06 515 sec 2.9751e+06 4.3939e+06 -5.1996e+06 520 sec 2.9478e+06 4.3844e+06 -5.2211e+06 525 sec 2.9205e+06 4.3748e+06 -5.2425e+06 530 sec 2.8931e+06 4.3651e+06 -5.2638e+06 535 sec 2.8656e+06 4.3552e+06 -5.2849e+06 540 sec 2.838e+06 4.3453e+06 -5.3059e+06 545 sec 2.8104e+06 4.3352e+06 -5.3268e+06 550 sec 2.7827e+06 4.3251e+06 -5.3476e+06 555 sec 2.755e+06 4.3148e+06 -5.3682e+06 560 sec 2.7271e+06 4.3044e+06 -5.3887e+06 565 sec 2.6992e+06 4.294e+06 -5.409e+06 570 sec 2.6713e+06 4.2834e+06 -5.4293e+06 575 sec 2.6433e+06 4.2727e+06 -5.4494e+06 580 sec 2.6152e+06 4.2619e+06 -5.4693e+06 585 sec 2.587e+06 4.251e+06 -5.4892e+06 590 sec 2.5588e+06 4.24e+06 -5.5088e+06 595 sec 2.5305e+06 4.2289e+06 -5.5284e+06 600 sec 2.5022e+06 4.2177e+06 -5.5478e+06 605 sec 2.4738e+06 4.2064e+06 -5.5671e+06 610 sec 2.4453e+06 4.195e+06 -5.5863e+06 615 sec 2.4168e+06 4.1835e+06 -5.6053e+06 620 sec 2.3882e+06 4.1719e+06 -5.6241e+06 625 sec 2.3596e+06 4.1602e+06 -5.6429e+06 630 sec 2.3309e+06 4.1484e+06 -5.6615e+06 635 sec 2.3021e+06 4.1364e+06 -5.6799e+06 640 sec 2.2733e+06 4.1244e+06 -5.6983e+06 645 sec 2.2445e+06 4.1123e+06 -5.7164e+06 650 sec 2.2155e+06 4.1001e+06 -5.7345e+06 655 sec 2.1866e+06 4.0877e+06 -5.7524e+06 660 sec 2.1575e+06 4.0753e+06 -5.7701e+06 665 sec 2.1284e+06 4.0628e+06 -5.7877e+06 670 sec 2.0993e+06 4.0502e+06 -5.8052e+06 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5.0592e+06 4855 sec 5.278e+06 1.44e+06 5.0367e+06 4860 sec 5.2953e+06 1.4621e+06 5.0142e+06 4865 sec 5.3124e+06 1.4841e+06 4.9915e+06 4870 sec 5.3295e+06 1.5061e+06 4.9687e+06 4875 sec 5.3464e+06 1.5281e+06 4.9458e+06 4880 sec 5.3632e+06 1.55e+06 4.9227e+06 4885 sec 5.3798e+06 1.5718e+06 4.8996e+06 4890 sec 5.3964e+06 1.5937e+06 4.8763e+06 4895 sec 5.4128e+06 1.6155e+06 4.8529e+06 4900 sec 5.429e+06 1.6372e+06 4.8294e+06 4905 sec 5.4452e+06 1.659e+06 4.8058e+06 4910 sec 5.4612e+06 1.6806e+06 4.782e+06 4915 sec 5.4771e+06 1.7023e+06 4.7582e+06 4920 sec 5.4928e+06 1.7239e+06 4.7342e+06 4925 sec 5.5084e+06 1.7454e+06 4.7101e+06 4930 sec 5.5239e+06 1.767e+06 4.6859e+06 4935 sec 5.5393e+06 1.7884e+06 4.6616e+06 4940 sec 5.5545e+06 1.8099e+06 4.6372e+06 4945 sec 5.5696e+06 1.8312e+06 4.6126e+06 4950 sec 5.5845e+06 1.8526e+06 4.588e+06 4955 sec 5.5993e+06 1.8739e+06 4.5632e+06 4960 sec 5.614e+06 1.8951e+06 4.5384e+06 4965 sec 5.6285e+06 1.9164e+06 4.5134e+06 4970 sec 5.643e+06 1.9375e+06 4.4883e+06 4975 sec 5.6572e+06 1.9586e+06 4.4631e+06 4980 sec 5.6714e+06 1.9797e+06 4.4378e+06 4985 sec 5.6854e+06 2.0007e+06 4.4124e+06 4990 sec 5.6992e+06 2.0217e+06 4.3869e+06 4995 sec 5.713e+06 2.0426e+06 4.3613e+06 5000 sec 5.7266e+06 2.0635e+06 4.3356e+06 5005 sec 5.74e+06 2.0843e+06 4.3097e+06 5010 sec 5.7534e+06 2.1051e+06 4.2838e+06 5015 sec 5.7665e+06 2.1258e+06 4.2578e+06 5020 sec 5.7796e+06 2.1465e+06 4.2316e+06 5025 sec 5.7925e+06 2.1671e+06 4.2054e+06 5030 sec 5.8053e+06 2.1877e+06 4.1791e+06 5035 sec 5.8179e+06 2.2082e+06 4.1526e+06 5040 sec 5.8304e+06 2.2287e+06 4.1261e+06 5045 sec 5.8428e+06 2.2491e+06 4.0995e+06 5050 sec 5.855e+06 2.2695e+06 4.0728e+06 5055 sec 5.8671e+06 2.2898e+06 4.0459e+06 5060 sec 5.879e+06 2.3101e+06 4.019e+06 5065 sec 5.8908e+06 2.3303e+06 3.992e+06 5070 sec 5.9025e+06 2.3504e+06 3.9649e+06 5075 sec 5.914e+06 2.3705e+06 3.9377e+06 5080 sec 5.9254e+06 2.3905e+06 3.9104e+06 5085 sec 5.9366e+06 2.4105e+06 3.883e+06 5090 sec 5.9477e+06 2.4304e+06 3.8555e+06 5095 sec 5.9587e+06 2.4503e+06 3.8279e+06 5100 sec 5.9695e+06 2.4701e+06 3.8003e+06 5105 sec 5.9802e+06 2.4898e+06 3.7725e+06 5110 sec 5.9907e+06 2.5095e+06 3.7447e+06 5115 sec 6.0011e+06 2.5292e+06 3.7167e+06 5120 sec 6.0114e+06 2.5487e+06 3.6887e+06 5125 sec 6.0215e+06 2.5682e+06 3.6606e+06 5130 sec 6.0314e+06 2.5877e+06 3.6324e+06 5135 sec 6.0413e+06 2.6071e+06 3.6041e+06 5140 sec 6.0509e+06 2.6264e+06 3.5757e+06 5145 sec 6.0605e+06 2.6457e+06 3.5473e+06 5150 sec 6.0699e+06 2.6649e+06 3.5188e+06 5155 sec 6.0791e+06 2.684e+06 3.4901e+06 5160 sec 6.0882e+06 2.7031e+06 3.4614e+06 5165 sec 6.0972e+06 2.7221e+06 3.4326e+06 5170 sec 6.106e+06 2.741e+06 3.4038e+06 5175 sec 6.1147e+06 2.7599e+06 3.3748e+06 5180 sec 6.1233e+06 2.7787e+06 3.3458e+06 5185 sec 6.1316e+06 2.7975e+06 3.3167e+06 5190 sec 6.1399e+06 2.8162e+06 3.2875e+06 5195 sec 6.148e+06 2.8348e+06 3.2583e+06 5200 sec 6.156e+06 2.8533e+06 3.2289e+06 5205 sec 6.1638e+06 2.8718e+06 3.1995e+06 5210 sec 6.1714e+06 2.8902e+06 3.17e+06 5215 sec 6.179e+06 2.9086e+06 3.1405e+06 5220 sec 6.1864e+06 2.9269e+06 3.1108e+06 5225 sec 6.1936e+06 2.9451e+06 3.0811e+06 5230 sec 6.2007e+06 2.9632e+06 3.0514e+06 5235 sec 6.2076e+06 2.9813e+06 3.0215e+06 5240 sec 6.2144e+06 2.9993e+06 2.9916e+06 5245 sec 6.2211e+06 3.0172e+06 2.9616e+06 5250 sec 6.2276e+06 3.0351e+06 2.9315e+06 5255 sec 6.234e+06 3.0529e+06 2.9014e+06 5260 sec 6.2402e+06 3.0706e+06 2.8712e+06 5265 sec 6.2462e+06 3.0883e+06 2.8409e+06 5270 sec 6.2522e+06 3.1059e+06 2.8106e+06 5275 sec 6.2579e+06 3.1234e+06 2.7802e+06 5280 sec 6.2636e+06 3.1408e+06 2.7497e+06 5285 sec 6.2691e+06 3.1582e+06 2.7192e+06 5290 sec 6.2744e+06 3.1754e+06 2.6886e+06 5295 sec 6.2796e+06 3.1926e+06 2.6579e+06 5300 sec 6.2846e+06 3.2098e+06 2.6272e+06 5305 sec 6.2895e+06 3.2268e+06 2.5964e+06 5310 sec 6.2943e+06 3.2438e+06 2.5656e+06 5315 sec 6.2989e+06 3.2607e+06 2.5347e+06 5320 sec 6.3034e+06 3.2776e+06 2.5037e+06 5325 sec 6.3077e+06 3.2943e+06 2.4727e+06 5330 sec 6.3118e+06 3.311e+06 2.4416e+06 5335 sec 6.3158e+06 3.3276e+06 2.4105e+06 5340 sec 6.3197e+06 3.3441e+06 2.3793e+06 5345 sec 6.3234e+06 3.3606e+06 2.3481e+06 5350 sec 6.327e+06 3.377e+06 2.3168e+06 5355 sec 6.3304e+06 3.3933e+06 2.2854e+06 5360 sec 6.3337e+06 3.4095e+06 2.254e+06 5365 sec 6.3369e+06 3.4256e+06 2.2226e+06 5370 sec 6.3398e+06 3.4417e+06 2.191e+06 5375 sec 6.3427e+06 3.4576e+06 2.1595e+06 5380 sec 6.3454e+06 3.4735e+06 2.1279e+06 5385 sec 6.3479e+06 3.4893e+06 2.0962e+06 5390 sec 6.3503e+06 3.5051e+06 2.0645e+06 5395 sec 6.3526e+06 3.5207e+06 2.0327e+06 5400 sec 6.3547e+06 3.5363e+06 2.0009e+06
display(mission.Data.AttitudeTimeTableGCRF2Body)
1148×1 timetable Time Data __________ _______________________________________________________ 0 sec 0.1509 0.48681 0.30311 -0.80522 5 sec 0.15061 0.48761 0.3033 -0.80472 10 sec 0.15003 0.48914 0.30368 -0.80375 13.263 sec 0.14977 0.48986 0.30387 -0.80329 15 sec 0.14967 0.49013 0.30395 -0.80311 16.982 sec 0.14958 0.49035 0.30402 -0.80297 18.72 sec 0.14954 0.49047 0.30406 -0.80288 20 sec 0.14952 0.49052 0.30409 -0.80285 25 sec 0.14956 0.49043 0.30412 -0.80289 30 sec 0.14975 0.48994 0.30407 -0.80317 35 sec 0.15005 0.48913 0.30395 -0.80365 40 sec 0.15045 0.48809 0.30378 -0.80427 45 sec 0.15092 0.48684 0.30356 -0.80502 50 sec 0.15145 0.48544 0.30331 -0.80586 55 sec 0.15202 0.48392 0.30303 -0.80678 60 sec 0.15263 0.48229 0.30273 -0.80775 65 sec 0.15326 0.48059 0.30242 -0.80876 70 sec 0.15392 0.47882 0.30208 -0.80981 75 sec 0.1546 0.477 0.30174 -0.81088 80 sec 0.15529 0.47514 0.30138 -0.81197 85 sec 0.15599 0.47325 0.30102 -0.81307 90 sec 0.1567 0.47134 0.30065 -0.81419 95 sec 0.15741 0.4694 0.30027 -0.81531 100 sec 0.15813 0.46744 0.29989 -0.81643 105 sec 0.15885 0.46547 0.29951 -0.81756 110 sec 0.15958 0.46349 0.29912 -0.81869 115 sec 0.1603 0.46149 0.29872 -0.81981 120 sec 0.16103 0.45949 0.29833 -0.82094 125 sec 0.16176 0.45748 0.29793 -0.82206 127.05 sec 0.16206 0.45666 0.29777 -0.82252 127.91 sec 0.16218 0.45631 0.2977 -0.82271 128.78 sec 0.16231 0.45596 0.29763 -0.82291 130 sec 0.16249 0.45547 0.29753 -0.82318 132.95 sec 0.16292 0.45427 0.29729 -0.82384 135 sec 0.16322 0.45345 0.29712 -0.8243 140 sec 0.16394 0.45142 0.29672 -0.82541 145 sec 0.16467 0.44939 0.29631 -0.82652 150 sec 0.1654 0.44736 0.2959 -0.82762 155 sec 0.16613 0.44532 0.29549 -0.82872 160 sec 0.16685 0.44328 0.29507 -0.82982 165 sec 0.16758 0.44123 0.29466 -0.83091 170 sec 0.1683 0.43918 0.29424 -0.83199 175 sec 0.16902 0.43713 0.29382 -0.83308 180 sec 0.16975 0.43508 0.2934 -0.83415 185 sec 0.17047 0.43302 0.29298 -0.83522 190 sec 0.17119 0.43097 0.29255 -0.83629 195 sec 0.17191 0.4289 0.29212 -0.83735 200 sec 0.17263 0.42684 0.2917 -0.8384 205 sec 0.17334 0.42477 0.29126 -0.83945 210 sec 0.17406 0.4227 0.29083 -0.8405 215 sec 0.17477 0.42063 0.2904 -0.84154 220 sec 0.17549 0.41856 0.28996 -0.84258 225 sec 0.1762 0.41648 0.28953 -0.84361 230 sec 0.17691 0.4144 0.28909 -0.84463 235 sec 0.17762 0.41232 0.28865 -0.84565 240 sec 0.17833 0.41024 0.2882 -0.84666 245 sec 0.17904 0.40815 0.28776 -0.84767 250 sec 0.17975 0.40606 0.28731 -0.84868 255 sec 0.18046 0.40397 0.28686 -0.84968 260 sec 0.18116 0.40188 0.28641 -0.85067 265 sec 0.18187 0.39978 0.28596 -0.85166 270 sec 0.18257 0.39768 0.28551 -0.85264 275 sec 0.18327 0.39558 0.28506 -0.85362 280 sec 0.18397 0.39348 0.2846 -0.85459 285 sec 0.18467 0.39137 0.28414 -0.85556 290 sec 0.18537 0.38927 0.28368 -0.85652 295 sec 0.18607 0.38716 0.28322 -0.85748 300 sec 0.18677 0.38504 0.28276 -0.85843 305 sec 0.18746 0.38293 0.28229 -0.85938 310 sec 0.18816 0.38081 0.28182 -0.86032 315 sec 0.18885 0.37869 0.28136 -0.86126 320 sec 0.18954 0.37657 0.28089 -0.86219 325 sec 0.19023 0.37445 0.28041 -0.86312 330 sec 0.19092 0.37232 0.27994 -0.86404 335 sec 0.19161 0.37019 0.27946 -0.86495 340 sec 0.1923 0.36806 0.27899 -0.86586 345 sec 0.19298 0.36593 0.27851 -0.86677 350 sec 0.19367 0.36379 0.27803 -0.86767 355 sec 0.19435 0.36165 0.27755 -0.86856 360 sec 0.19504 0.35951 0.27706 -0.86945 365 sec 0.19572 0.35737 0.27658 -0.87034 370 sec 0.1964 0.35522 0.27609 -0.87122 375 sec 0.19708 0.35308 0.2756 -0.87209 380 sec 0.19776 0.35093 0.27511 -0.87296 385 sec 0.19843 0.34878 0.27462 -0.87382 390 sec 0.19911 0.34662 0.27412 -0.87468 395 sec 0.19979 0.34447 0.27363 -0.87553 400 sec 0.20046 0.34231 0.27313 -0.87638 405 sec 0.20113 0.34015 0.27263 -0.87722 410 sec 0.2018 0.33798 0.27213 -0.87806 415 sec 0.20247 0.33582 0.27163 -0.87889 420 sec 0.20314 0.33365 0.27112 -0.87972 425 sec 0.20381 0.33148 0.27062 -0.88054 430 sec 0.20448 0.32931 0.27011 -0.88135 435 sec 0.20514 0.32714 0.2696 -0.88216 440 sec 0.20581 0.32496 0.26909 -0.88297 445 sec 0.20647 0.32278 0.26858 -0.88377 450 sec 0.20714 0.3206 0.26806 -0.88456 455 sec 0.2078 0.31842 0.26755 -0.88535 460 sec 0.20846 0.31623 0.26703 -0.88614 465 sec 0.20911 0.31405 0.26651 -0.88691 470 sec 0.20977 0.31186 0.26599 -0.88769 475 sec 0.21043 0.30967 0.26547 -0.88846 480 sec 0.21108 0.30747 0.26494 -0.88922 485 sec 0.21174 0.30528 0.26442 -0.88998 490 sec 0.21239 0.30308 0.26389 -0.89073 495 sec 0.21304 0.30088 0.26336 -0.89147 500 sec 0.21369 0.29868 0.26283 -0.89222 505 sec 0.21434 0.29647 0.2623 -0.89295 510 sec 0.21499 0.29426 0.26176 -0.89368 515 sec 0.21564 0.29206 0.26123 -0.89441 520 sec 0.21628 0.28985 0.26069 -0.89513 525 sec 0.21693 0.28763 0.26015 -0.89584 530 sec 0.21757 0.28542 0.25961 -0.89655 535 sec 0.21821 0.2832 0.25907 -0.89725 540 sec 0.21885 0.28098 0.25852 -0.89795 545 sec 0.21949 0.27876 0.25798 -0.89865 550 sec 0.22013 0.27654 0.25743 -0.89933 555 sec 0.22077 0.27431 0.25688 -0.90002 560 sec 0.2214 0.27208 0.25633 -0.90069 565 sec 0.22204 0.26985 0.25578 -0.90136 570 sec 0.22267 0.26762 0.25522 -0.90203 575 sec 0.2233 0.26539 0.25467 -0.90269 580 sec 0.22393 0.26315 0.25411 -0.90334 585 sec 0.22456 0.26092 0.25355 -0.90399 590 sec 0.22519 0.25868 0.25299 -0.90464 595 sec 0.22582 0.25644 0.25243 -0.90528 600 sec 0.22644 0.25419 0.25186 -0.90591 605 sec 0.22707 0.25195 0.2513 -0.90654 610 sec 0.22769 0.2497 0.25073 -0.90716 615 sec 0.22831 0.24745 0.25016 -0.90778 620 sec 0.22894 0.2452 0.24959 -0.90839 625 sec 0.22956 0.24294 0.24902 -0.909 630 sec 0.23017 0.24069 0.24844 -0.9096 635 sec 0.23079 0.23843 0.24787 -0.91019 640 sec 0.23141 0.23617 0.24729 -0.91078 645 sec 0.23202 0.23391 0.24671 -0.91136 650 sec 0.23263 0.23165 0.24613 -0.91194 655 sec 0.23325 0.22938 0.24555 -0.91252 660 sec 0.23386 0.22711 0.24497 -0.91308 665 sec 0.23447 0.22484 0.24438 -0.91365 670 sec 0.23507 0.22257 0.24379 -0.9142 675 sec 0.23568 0.2203 0.24321 -0.91475 680 sec 0.23629 0.21802 0.24261 -0.9153 685 sec 0.23689 0.21575 0.24202 -0.91584 690 sec 0.23749 0.21347 0.24143 -0.91637 695 sec 0.23809 0.21119 0.24083 -0.9169 700 sec 0.23869 0.20891 0.24024 -0.91743 705 sec 0.23929 0.20662 0.23964 -0.91794 710 sec 0.23989 0.20433 0.23904 -0.91846 715 sec 0.24049 0.20205 0.23844 -0.91896 720 sec 0.24108 0.19976 0.23783 -0.91946 725 sec 0.24168 0.19746 0.23723 -0.91996 730 sec 0.24227 0.19517 0.23662 -0.92045 735 sec 0.24286 0.19288 0.23601 -0.92093 740 sec 0.24345 0.19058 0.2354 -0.92141 745 sec 0.24404 0.18828 0.23479 -0.92188 750 sec 0.24462 0.18598 0.23418 -0.92235 755 sec 0.24521 0.18367 0.23357 -0.92281 760 sec 0.24579 0.18137 0.23295 -0.92327 765 sec 0.24638 0.17906 0.23233 -0.92372 770 sec 0.24696 0.17676 0.23171 -0.92416 775 sec 0.24754 0.17445 0.23109 -0.9246 780 sec 0.24812 0.17213 0.23047 -0.92504 785 sec 0.24869 0.16982 0.22984 -0.92546 790 sec 0.24927 0.16751 0.22922 -0.92589 795 sec 0.24984 0.16519 0.22859 -0.9263 800 sec 0.25042 0.16287 0.22796 -0.92671 805 sec 0.25099 0.16055 0.22733 -0.92712 810 sec 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5310 sec -0.033033 -0.74756 -0.33561 0.57222 5315 sec -0.033806 -0.74619 -0.33556 0.57399 5320 sec -0.034579 -0.74482 -0.3355 0.57575 5325 sec -0.035352 -0.74344 -0.33545 0.57751 5330 sec -0.036125 -0.74206 -0.33539 0.57927 5335 sec -0.036897 -0.74068 -0.33533 0.58103 5340 sec -0.037669 -0.73929 -0.33526 0.58278 5345 sec -0.038441 -0.7379 -0.3352 0.58452 5350 sec -0.039213 -0.73651 -0.33513 0.58627 5355 sec -0.039985 -0.73511 -0.33506 0.58801 5360 sec -0.040756 -0.7337 -0.33499 0.58975 5365 sec -0.041527 -0.7323 -0.33491 0.59148 5370 sec -0.042298 -0.73089 -0.33484 0.59321 5375 sec -0.043069 -0.72947 -0.33476 0.59494 5380 sec -0.043839 -0.72806 -0.33468 0.59666 5385 sec -0.04461 -0.72663 -0.3346 0.59838 5390 sec -0.04538 -0.72521 -0.33451 0.60009 5395 sec -0.046149 -0.72378 -0.33443 0.60181 5400 sec -0.046919 -0.72235 -0.33434 0.60351
衛星シナリオを作成する
分析に使用する衛星シナリオ オブジェクトを作成します。1 分のタイムステップを指定します。
scenario = satelliteScenario(mission.StartDate, ...
mission.StartDate + mission.Duration, 60);
ブラジルとスヴァールバル諸島の地上局として 2 つのターゲットを追加します。
gsNO = groundStation(scenario, 78, 21, Name="Svalbard, NO")
gsNO = GroundStation with properties: Name: Svalbard, NO ID: 1 Latitude: 78 degrees Longitude: 21 degrees Altitude: 0 meters MinElevationAngle: 0 degrees ConicalSensors: [1x0 matlabshared.satellitescenario.ConicalSensor] Gimbals: [1x0 matlabshared.satellitescenario.Gimbal] Transmitters: [1x0 satcom.satellitescenario.Transmitter] Receivers: [1x0 satcom.satellitescenario.Receiver] Accesses: [1x0 matlabshared.satellitescenario.Access] Eclipse: [1x0 Aero.satellitescenario.Eclipse] CoordinateAxes: [1x1 matlabshared.satellitescenario.CoordinateAxes] MarkerColor: [1 0.4118 0.1608] MarkerSize: 6 ShowLabel: true LabelFontColor: [1 1 1] LabelFontSize: 15
gsAmazon = groundStation(scenario, -4.9, -66, Name="Amazon Rainforest")
gsAmazon = GroundStation with properties: Name: Amazon Rainforest ID: 2 Latitude: -4.9 degrees Longitude: -66 degrees Altitude: 0 meters MinElevationAngle: 0 degrees ConicalSensors: [1x0 matlabshared.satellitescenario.ConicalSensor] Gimbals: [1x0 matlabshared.satellitescenario.Gimbal] Transmitters: [1x0 satcom.satellitescenario.Transmitter] Receivers: [1x0 satcom.satellitescenario.Receiver] Accesses: [1x0 matlabshared.satellitescenario.Access] Eclipse: [1x0 Aero.satellitescenario.Eclipse] CoordinateAxes: [1x1 matlabshared.satellitescenario.CoordinateAxes] MarkerColor: [1 0.4118 0.1608] MarkerSize: 6 ShowLabel: true LabelFontColor: [1 1 1] LabelFontSize: 15
読み込まれた軌道から衛星を追加する
観測衛星をシナリオに追加します。
sat = satellite(scenario, mission.Data.PositionTimeTableGCRF, ... "CoordinateFrame", "inertial", "Name", "ObservationSat");
衛星に、搭載カメラを表す 35 度の半角を持つ円錐形センサーを追加します。シナリオ ビューアーで視野の視覚化を有効にします。視覚化を支援するために、センサーは衛星から 10 m 離れた +z 方向に取り付けられています。
snsr = conicalSensor(sat, MaxViewAngle=70, MountingLocation=[0 0 10]); fieldOfView(snsr);
円錐形センサーと 2 つの地上ステーション間のアクセスを追加します。
acNO = access(snsr, gsNO)
acNO = Access with properties: Sequence: [4 1] LineWidth: 3 LineColor: [0.3922 0.8314 0.0745]
acAmazon = access(snsr, gsAmazon)
acAmazon = Access with properties: Sequence: [4 2] LineWidth: 3 LineColor: [0.3922 0.8314 0.0745]
姿勢プロファイルをロードして衛星を向ける
pointAt
メソッドを使用して、記録された姿勢 timetable
を衛星に関連付けます。パラメータ ExtrapolationMethod
は、timetable
範囲外でのポインティング動作を制御します。
pointAt(sat, mission.Data.AttitudeTimeTableGCRF2Body, ... "CoordinateFrame", "inertial", "Format", "quaternion", "ExtrapolationMethod", "nadir");
シナリオを視覚化する
シナリオを表示して操作するには、Satellite Scenario Viewer を開きます。
viewer1 = satelliteScenarioViewer(scenario);
シナリオを開始するために、衛星は天底を指します。アマゾンの熱帯雨林のターゲット 1 に近づくと、このターゲットを指向して追跡するために旋回します。
撮影セグメントが完了すると、衛星は再び天底を向きます。
衛星が北極の地上局の範囲内に入ると、この目標に向けるように旋回します。
カスタムジンバルステアリング
この例では、搭載カメラが衛星本体に固定されている単純な地球観測衛星ミッションのカスタム姿勢データをインポートする方法を示します。もう 1 つの一般的なアプローチは、センサーをジンバルに固定し、宇宙機本体ではなくジンバルを操作してセンサーの方向を調整することです。上記のシナリオを変更して、センサーをジンバルに取り付け、ジンバルを操作して衛星の真下の領域を均一にスキャンします。
衛星を常に天底を指すようにリセットし、以前に提供されたカスタム姿勢プロファイルを上書きします。
delete(viewer1);
pointAt(sat, "nadir");
既存のセンサー オブジェクトを削除して衛星から削除し、同じプロパティを持つ新しいセンサーをジンバルに取り付けます。
delete(snsr); gim = gimbal(sat); snsr = conicalSensor(gim, MaxViewAngle=70, MountingLocation=[0 0 10]); fieldOfView(snsr);
ジンバル ステアリングの方位角と仰角を定義して、衛星の下の時間経過に伴うスイープ パターンをモデル化します。
gimbalSweep.Time = seconds(1:50:5000)'; gimbalSweep.Az = [... 45*ones(1,7),... 45:-5:-45,... -45*ones(1,13),... -45:5:45,... 45*ones(1,13),... 45:-5:-45,... -45*ones(1,13)]; gimbalSweep.Az(end-2:end) = []; gimbalSweep.Az = gimbalSweep.Az + 90; gimbalSweep.El = [... 0:-5:-30,... -30*ones(1,19),... -30:5:30,... 30*ones(1,19),... 30:-5:-30,... -30*ones(1,19),... -30:5:30]; gimbalSweep.El(end-2:end) = [];
コマンドされた方位角と仰角の値を時間の経過に沿ってプロットします。
figure(1) hold on; plot(gimbalSweep.Time', gimbalSweep.Az); plot(gimbalSweep.Time', gimbalSweep.El); hold off; legend(["Az (deg)", "El (deg)"]);
方位角と仰角を timetable
に保存します。
gimbalSweep.TT = timetable(gimbalSweep.Time, [gimbalSweep.Az', gimbalSweep.El']);
timetable
を使用してジンバルを操縦します。提供されたデータの範囲外のタイムステップでは、ジンバルはデフォルトの方向に戻ります。
pointAt(gim, gimbalSweep.TT);
更新されたシナリオを Satellite Scenario Viewer で表示します。
viewer2 = satelliteScenarioViewer(scenario);
参考
オブジェクト
satelliteScenario
|satelliteScenarioViewer
|Satellite
|GroundStation
|ConicalSensor
|Gimbal
|Access
|FieldOfView
関数
関連する例
- エフェメリスデータを使用した衛星コンスタレーションのモデリング
- Analyzing Spacecraft Attitude Profiles with Satellite Scenario (Aerospace Blockset)
- 衛星コンスタレーションから地上局へのアクセス