Kinematics of General Spatial Mechanical Systems. M. Kemal Ozgoren

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      (1.72)equation

      The corresponding vector equation written below turns out to be the required expansion of the triple vector product.

      (1.73)equation

      1.8.2 Example 1.2

      Due to Eqs. (1.68) and (1.69), images cannot be found uniquely from Eq. (1.74). However, it can be found with the following expression that contains an arbitrary parameter λ.

      In Eq. (1.75), images is the part of images that is orthogonal to images. So, it can be expressed as

      (1.76)equation

      The coefficient γ is to be determined so as to satisfy Eq. (1.74). That is,

equation

      Since images and images are orthogonal, images. Therefore, Eq. (1.77) gives γ as

      (1.78)equation

      Hence, images and images are obtained as shown below.

      (1.79)equation

      (1.80)equation

      1.8.3 Example 1.3

      Consider the following 3 × 3 matrix equation, which is to be solved for images.

      The matrix images can be expressed as follows in terms of its columns.

      (1.82)equation

      Along with images, images can be expressed as follows in terms of its elements.

      (1.83)equation

      Hence, Eq. (1.81) can be written in a more detailed form as

      Equation (1.84) leads to the following scalar equations with the indicated premultiplications.

      (1.86)equation

      Note that, for i ∈ {1, 2, 3} and j ∈ {1, 2, 3},

      (1.88)equation

      Thus, Eqs. (1.85)(1.87) reduce to the following equations.

      (1.90)equation

      Equations (1.89)(1.91) imply that

      (1.92)equation

      Therefore, if images, Eqs. (1.89)(1.91) give the elements of

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