四元数 Resources

Showing items tagged with "四元数"

Aircraft attitude kinematic equations represented by Euler angles exhibit singularity at large angles, whereas quaternion representation avoids this issue. Therefore, quaternions are universally adopted for aircraft kinematic equations. However, control laws predominantly use Euler angles due to their intuitive visualization of attitude, making them more comprehensible for human interpretation. Consequently, aircraft control system simulations require bidirectional conversion between quaternions and Euler angles. While converting Euler angles to quaternions is straightforward with a one-to-one correspondence, the reverse conversion is complex due to non-unique mapping where one quaternion may correspond to one or two Euler angle sets. This necessitates robust algorithmic implementation for full-angle range coverage.

MATLAB 208 views Tagged

Resource Description Toolbox Main Functions: 1) Subroutines for attitude vectors, quaternions, matrices, filtering algorithms, etc. 2) Coning motion simulation, sculling motion simulation, inertial device random error simulation 3) Kalman filter initial alignment, inertial frame-based initial alignment, compass method initial alignment, large azimuth misalignment angle EKF initial alignment, large misalignment angle UKF initial alignment, velocity + attitude transfer alignment 4) Pure inertial navigation SINS simulation, dead reckoning, SINS/DR simulation, SINS/GPS integrated simulation, GPS/BD/GLONASS single-point pseudorange positioning, SINS/GPS loosely/tightly coupled integration, POS forward/reverse data processing and information fusion simulation 5) C++ basic class library

MATLAB 295 views Tagged

This MATLAB toolbox provides comprehensive support for quaternion (Hamilton number) operations, featuring a rich function library that significantly simplifies and accelerates quaternion computations.

MATLAB 308 views Tagged

Quaternion-based representation of 3D space offers advantages including simplified expressions, high computational precision, and minimal memory storage requirements, making it particularly suitable for implementation in graphics programming and mathematical computations.

MATLAB 209 views Tagged