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Conversion between quaternions and Euler angles: Wikis

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Spatial rotations in three dimensions can be parametrized using both Euler angles and unit quaternions. This article explains how to convert between the two representations. Actually this simple use of "quaternions" was first presented by Euler some seventy years earlier than Hamilton to solve the problem of magic squares. For this reason the dynamics community commonly refers to quaternions in this application as "Euler parameters".

Contents

Definition

A unit quaternion can be described as:

\mathbf{q} = \begin{bmatrix} q_0 & q_1 & q_2 & q_3 \end{bmatrix}^T
|\mathbf{q}|^2 = q_0^2 + q_1^2 + q_2^2 + q_3^2 = 1

We can associate a quaternion with a rotation around an axis by the following expression

\mathbf{q}_0 = \cos(\alpha/2)
\mathbf{q}_1 = \sin(\alpha/2)\cos(\beta_x)
\mathbf{q}_2 = \sin(\alpha/2)\cos(\beta_y)
\mathbf{q}_3 = \sin(\alpha/2)\cos(\beta_z)

where α is a simple rotation angle (the value in radians of the angle of rotation) and cos(βx), cos(βy) and cos(βz) are the "direction cosines" locating the axis of rotation (Euler's Theorem).

Rotation matrices

Euler angles - The xyz (fixed) system is shown in blue, the XYZ (rotated) system is shown in red. The line of nodes, labelled N, is shown in green.

The orthogonal matrix (post-multiplying a column vector) corresponding to a clockwise/left-handed rotation by the unit quaternion q = q0 + iq1 + jq2 + kq3 is given by the inhomogeneous expression

\begin{bmatrix} 1- 2(q_2^2 + q_3^2) & 2(q_1 q_2 - q_0 q_3) & 2(q_0 q_2 + q_1 q_3) \ 2(q_1 q_2 + q_0 q_3) & 1 - 2(q_1^2 + q_3^2) & 2(q_2 q_3 - q_0 q_1) \ 2(q_1 q_3 - q_0 q_2) & 2( q_0 q_1 + q_2 q_3) & 1 - 2(q_1^2 + q_2^2) \end{bmatrix}

or equivalently, by the homogeneous expression

\begin{bmatrix} q_0^2 + q_1^2 - q_2^2 - q_3^2 & 2(q_1 q_2 - q_0 q_3) & 2(q_0 q_2 + q_1 q_3) \ 2(q_1 q_2 + q_0 q_3) & q_0^2 - q_1^2 + q_2^2 - q_3^2 & 2(q_2 q_3 - q_0 q_1) \ 2(q_1 q_3 - q_0 q_2) & 2( q_0 q_1 + q_2 q_3) & q_0^2 - q_1^2 - q_2^2 + q_3^2 \end{bmatrix}

If q0 + iq1 + jq2 + kq3 is not a unit quaternion then the homogeneous form is still a scalar multiple of a rotation matrix, while the inhomogeneous form is in general no longer an orthogonal matrix. This is why in numerical work the homogeneous form is to be preferred if distortion is to be avoided.

The orthogonal matrix (post-multiplying a column vector) corresponding to a clockwise/left-handed rotation with Euler angles φ,θ,ψ, with x-y-z convention, is given by:

\begin{bmatrix} \cos\theta \cos\psi & -\cos\phi \sin\psi + \sin\phi \sin\theta \cos\psi & \sin\phi \sin\psi + \cos\phi \sin\theta \cos\psi \ \cos\theta \sin\psi & \cos\phi \cos\psi + \sin\phi \sin\theta \sin\psi & -\sin\phi \cos\psi + \cos\phi \sin\theta \sin\psi \ -\sin\theta & \sin\phi \cos\theta & \cos\phi \cos\theta \ \end{bmatrix}

Conversion

By combining the quaternion representations of the Euler rotations we get

\mathbf{q} = R_z(\psi)R_y(\theta)R_x(\phi) = [\cos (\psi /2) + \mathbf{k}\sin (\psi /2)][\cos (\theta /2) + \mathbf{j}\sin (\theta /2)][\cos (\phi /2) + \mathbf{i}\sin (\phi /2)]
 \mathbf{q} = \begin{bmatrix} \cos (\phi /2) \cos (\theta /2) \cos (\psi /2) + \sin (\phi /2) \sin (\theta /2) \sin (\psi /2) \ \sin (\phi /2) \cos (\theta /2) \cos (\psi /2) - \cos (\phi /2) \sin (\theta /2) \sin (\psi /2) \ \cos (\phi /2) \sin (\theta /2) \cos (\psi /2) + \sin (\phi /2) \cos (\theta /2) \sin (\psi /2) \ \cos (\phi /2) \cos (\theta /2) \sin (\psi /2) - \sin (\phi /2) \sin (\theta /2) \cos (\psi /2) \ \end{bmatrix}

For Euler angles we get:

\begin{bmatrix} \phi \\ \theta \\ \psi \end{bmatrix} = \begin{bmatrix} \mbox{arctan} \frac {2(q_0 q_1 + q_2 q_3)} {1 - 2(q_1^2 + q_2^2)} \ \mbox{arcsin} (2(q_0 q_2 - q_3 q_1)) \ \mbox{arctan} \frac {2(q_0 q_3 + q_1 q_2)} {1 - 2(q_2^2 + q_3^2)} \end{bmatrix}

arctan and arcsin have a result between -Pi/2 and Pi/2. With three rotation between -Pi/2 and Pi/2 you can't have all the orientation. You need to replace the arctan by atan2 to generate all the orientation.

\begin{bmatrix} \phi \\ \theta \\ \psi \end{bmatrix} = \begin{bmatrix} \mbox{atan2} (2(q_0 q_1 + q_2 q_3),1 - 2(q_1^2 + q_2^2)) \ \mbox{arcsin} (2(q_0 q_2 - q_3 q_1)) \ \mbox{atan2} (2(q_0 q_3 + q_1 q_2),1 - 2(q_2^2 + q_3^2)) \end{bmatrix}

Relationship with Tait-Bryan angles

Tait-Bryan angles for an aircraft

Similarly for Euler angles, we use the Tait-Bryan angles (in terms of flight dynamics):

  • Roll - φ: rotation about the X-axis
  • Pitch - θ: rotation about the Y-axis
  • Yaw - ψ: rotation about the Z-axis

where the X-axis points forward, Y-axis to the right and Z-axis downward and in the example to follow the rotation occurs in the order yaw, pitch, roll (about body-fixed axes). Nevertheless, it is not easy to find a matrix expression with Tait-Bryan angles because its final expression depends on how the rotations are applied.

Singularities

One must be aware of singularities in the Euler angle parametrization when the pitch approaches \pm 90° (north/south pole). These cases must be handled specially. The common name for this situation is gimbal lock.

Code to handle the singularities is derived on this site: www.euclideanspace.com

See also

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