python无人机姿态、轨迹可视化_飞行轨迹效果(改为python实现)

这篇内容是因为看到python 无人机、飞机轨迹(含姿态角)可视化方法这篇文章，想实现一下，顺便学一下旋转矩阵坐标变换的基础知识

构建飞机点位图

这个作者在文章中提供了飞机的点位，不过是matlab代码，自己改成python就可以了

X=np.array([[0.4, 0.025, -0.0433012701892219],[0.4, 0.05, 0],[0.4, 0.025, 0.0433012701892219],
    [0.4 ,-0.025 ,0.0433012701892219],[0.3, -0.035, 0.0606217782649107],[0.2, 0.035, 0.0606217782649107],
    [0.2, 0.07, 0],[0 ,0.065, 0],[-0.1, 0.03, 0.0519615242270663],[-0.1, -0.03, 0.0519615242270663],
    [-0.2, -0.025 ,0.0433012701892219],[-0.3, -0.04 ,0],[-0.2, -0.05, 0],[-0.1, -0.06 ,0],[0, -0.065, 0],
    [0, -0.0325 ,0.0562916512459885],[0 ,-0.0325, -0.0562916512459885],[-0.1, 0.03, -0.0519615242270663],
    [-0.1, 0.06, 0],[-0.1 ,-0.03, -0.0519615242270663],[-0.4, 0.015, -0.0259807621135332],[-0.4, 0.03, 0],[-0.5, 0.02, 0],
    [-0.2, -0.025, -0.0433012701892219],[-0.4, -0.03, 0],[-0.4, -0.015, 0.0259807621135332],
    [-0.5, -0.01, 0.0173205080756888],[-0.2, 0.025, 0.0433012701892219],[-0.4, 0.015, 0.0259807621135332],
    [-0.5, 0.01, 0.0173205080756888],[-0.5, -0.01, -0.0173205080756888],[-0.5, -0.02 ,0],[-0.4, -0.015, -0.0259807621135332],
    [-0.3, 0.04, 0],[-0.2, 0.025, -0.0433012701892219],[0 ,0.0325, -0.0562916512459885],[0.2, -0.035, -0.0606217782649107],
    [0.2, 0.035, -0.0606217782649107],[0.3, 0.035, -0.0606217782649107],[0.3, 0.07, 0],[0.5, -0.01 ,-0.0173205080756888],
    [0.5, -0.02, 0],[0.5, -0.01 ,0.0173205080756888],[0.4, -0.05, 0],[0.4, -0.025 ,-0.0433012701892219],[0.3, -0.035, -0.0606217782649107],
    [0.3, -0.07 ,0],[0.2 ,-0.07, 0],[0.2, -0.035, 0.0606217782649107],[0.5, 0.01 ,-0.0173205080756888],[0.5 ,0.02 ,0],[0.3, 0.035, 0.0606217782649107],
    [0.5, 0.01 ,0.0173205080756888],[0 ,0.0325, 0.0562916512459885],[-0.2, 0.05, 0],[-0.5 ,0.01, -0.0173205080756888],
    [0.2, 0.0657784834550136, 0.0239414100327968],[0 ,0.0562916512459885 ,-0.0325],[0.05, 0.5, 0],[0.2, 0.07, -0],
    [0 ,0.061080020351084 ,0.0222313093161685],[-0.05, 0.5, 0],[0 ,-0.0562916512459885 ,-0.0325],[0.2 ,-0.0657784834550136 ,0.0239414100327968],
    [0.05, -0.5, 0],[0.2, -0.07, -0],[-0.05, -0.5, 0],[0 ,-0.061080020351084 ,0.0222313093161685],[-0.45 ,0.2, 0],
    [-0.4, 0.0259807621135332 ,0.015],[-0.4, 0.0259807621135332 ,-0.015],[-0.5, 0.0173205080756888 ,-0.01],
    [-0.5, 0.2 ,0],[-0.5, 0.0173205080756888 ,0.01],[-0.4,-0.0259807621135332 ,0.015],[-0.4 ,-0.0259807621135332, -0.015],
    [-0.45, -0.2 ,0],[-0.5 ,-0.0173205080756888, -0.01],[-0.5, -0.0173205080756888 ,0.01],[-0.5, -0.2 ,0],[-0.4, 0.012678547852221, 0.0271892336110995],
    [-0.4 ,-0.012678547852221 ,0.0271892336110995],[-0.45, 0, 0.15],[-0.5, -0.00845236523481399 ,0.018126155740733],
    [-0.5, 0.00845236523481399 ,0.018126155740733],[-0.5, 0, 0.15]])
for i in range(len(X)):
    #对每一行
    X[i][2] *= -1
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这相当于一架固定翼飞机面点阵，需要用这些点画飞机的表面，这需要用到
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tr = np.array([[1 ,50, 41],[1 ,51 ,50],[2 ,51 ,1],[3 ,51 ,2],[3 ,53 ,51],[3 ,43 ,53],[3 ,4 ,43],[4 ,3 ,52],[5 ,4 ,52],[5 ,47 ,4],
    [5 ,49 ,47],[6 ,49 ,5],[6 ,54 ,49],[7 ,54 ,6],[8 ,54 ,7],[9 ,54 ,8],[9 ,16 ,54],[9 ,10 ,16],[10, 9, 28],[11, 10, 28],
    [11, 14, 10],[11, 13, 14],[12, 13, 11],[13, 12, 24],[13, 24, 14],[14, 24, 20],[15, 14, 20],[15, 10, 14],[16, 10, 15],
    [15, 48, 16],[17, 48, 15],[17, 37, 48],[17, 36, 37],[18, 36, 17],[18, 8, 36],[19, 8, 18],[9, 8, 19],[9, 19, 28],
    [19, 55, 28],[19,35 ,55],[19,18 ,35],[18,20 ,35],[18,17 ,20],[17,15 ,20],[20,24 ,35],[21,35 ,24],[22,35 ,21],
    [22,34 ,35],[22,28 ,34],[22,29 ,28],[22,23 ,29],[23,22 ,21],[23,21 ,56],[21,33 ,56],[21,24 ,33],[24,25 ,33],
    [12,25 ,24],[25,12 ,11],[25,11 ,26],[26,32 ,25],[26,27 ,32],[27,26 ,30],[26,29 ,30],[11,29 ,26],[28,29 ,11],
    [29,23,30],[30,23,56],[27,30,56],[31,27,56],[32,27,31],[33,32,31],[25,32,33],[33,31,56],[34,28,55],
    [35,34,55],[36,8,7],[36,7,38],[37,36,38],[38,46,37],[38,39,46],[39,38,7],[40,39,7],[39,40,1],[1 ,45 ,39],
    [1 ,41 ,45],[41 ,42 ,45],[42 ,41 ,43],[43 ,4 ,42],[42 ,4 ,44],[42 ,44 ,45],[44 ,47 ,45],[4 ,47 ,44],[45 ,47 ,46],
    [45 ,46 ,39],[46 ,47 ,37],[37 ,47 ,48],[47 ,49 ,48],[48 ,49 ,16],[49 ,54 ,16],[41 ,50 ,43],[50 ,53 ,43],
    [51 ,53 ,50],[1 ,40 ,2 ],[2 ,40 ,3 ],[3 ,40 ,52 ],[52 ,40 ,7 ],[6 ,52 ,7 ],[6 ,5 ,52 ],
    [57 ,60 ,59 ] , [57, 58 ,60 ] ,[58 ,57,61 ] , [57, 62, 61 ],[57, 59 ,62 ] , [59, 58,62 ] ,
    [60,58 ,59 ] , [61 ,62,58 ], [63 ,64, 66 ] , [64 ,63 ,68 ] , [64, 68 ,67 ] , [65, 64, 67 ],
    [66 ,64 ,65 ] , [63, 66 ,65 ] , [63 ,65,67 ], [67, 68 ,63 ],
    [69 ,71 ,73 ] , [70 ,71 ,69 ] , [71 ,70 ,74 ],[70 ,73 ,74 ] , [70 ,69 ,73 ] , 
    [72 ,74 ,73 ] , [72 ,71 ,74 ] , [71 ,72 ,73 ] , 
    [75 ,76, 79 ] , [76 ,75 ,77 ] , [77 ,75 ,80 ] , [75 ,79 ,80 ] , [78 ,80 ,79 ] , [78 ,76 ,80 ], 
    [76 ,78 ,79 ], [76 ,77 ,80 ], 
    [81 ,82 ,85 ], [82 ,81 ,83 ], [83 ,81,86 ],[81 ,85,86 ], [84, 86, 85 ],[84, 82 ,86 ] ,
    [82 ,84 ,85 ], [82 ,83,86 ]])
for i in range(len(tr)):
    #对每一行
    for j in range(len(tr[i])):
        tr[i][j] -= 1
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    每一组三个点都构成一个三角形面，注意原作者提供的是matlab代码，所以tr中的数字代表点阵的下标，是从1开始索引的，放到python中要对每个元素-1
    利用X和tr就可以开始画图了
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ax = plt.figure().add_subplot(projection='3d')
x = X[:,0]
y = X[:,1]
z = X[:,2]
triangulation = tri.Triangulation(x,y, tr)
ax.plot_trisurf(triangulation, z)
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包括原文章和我的实验中，x坐标是取X的第二列，y取第一列，z取第三列
这里triangulation的意思是三角测量，这行的作用是创建一个三角形网格对象
plot_trisurf是在子图对象ax上绘制三角形网格平面

最后的效果，之所以是倒着的是因为我需要飞机在一个机体坐标系FRD坐标系内，即x轴朝机头，y轴朝右机翼，z轴向下