Cone Algorithm of Spinning Vehicles under Dynamic Coning Environment

Due to the fact that attitude error of vehicles has an intense trend of divergence when vehicles undergo worsening coning environment, in this paper, the model of dynamic coning environment is derived firstly. Then, through investigation of the effect on Euler attitude algorithm for the equivalency of traditional attitude algorithm, it is found that attitude error is actually the roll angle error including drifting error and oscillating error, which is induced directly by dynamic coning environment and further affects the pitch angle and yaw angle through transferring. Based on definition of the cone frame and cone attitude, a cone algorithm is proposed by rotation relationship to calculate cone attitude, and the relationship between cone attitude and Euler attitude of spinning vehicle is established. Through numerical simulations with different conditions of dynamic coning environment, it is shown that the induced error of Euler attitude fluctuates by the variation of precession and nutation, especially by that of nutation, and the oscillating frequency of roll angle error is twice that of pitch angle error and yaw angle error. In addition, the rotation angle is more competent to describe the spinning process of vehicles under coning environment than Euler angle gamma, and the real pitch angle and yaw angle are calculated finally.

[1]  P. Savage Explicit Frequency-Shaped Coning Algorithms for Pseudoconing Environments , 2011 .

[2]  J. W. Jordan An accurate strapdown direction cosine algorithm , 1969 .

[3]  Wenqi Wu,et al.  High-order attitude compensation in coning and rotation coexisting environment , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Russell P. Patera Attitude Propagation for a Slewing Angular Rate Vector , 2009 .

[5]  Mishah Uzziél Salman,et al.  Active coning compensation for control of spinning flying vehicles , 2010, 2010 IEEE International Conference on Control Applications.

[6]  Yeon Fuh Jiang,et al.  Improved strapdown coning algorithms , 1992 .

[7]  J. Bortz A New Mathematical Formulation for Strapdown Inertial Navigation , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Xiyuan Chen,et al.  A Generalized Coning Correction Structure for Attitude Algorithms , 2014 .

[9]  P. Savage Strapdown Inertial Navigation Integration Algorithm Design Part 1: Attitude Algorithms , 1998 .

[10]  J. Mark,et al.  Extension of strapdown attitude algorithm for high-frequency base motion , 1988 .

[11]  M. B. Ignagni,et al.  Optimal strapdown attitude integration algorithms , 1990 .

[12]  Jianghai Hu,et al.  Coning algorithm based on singular perturbation , 2013 .

[13]  Wenqi Wu,et al.  Approach to Recovering Maneuver Accuracy in Classical Coning Algorithms , 2013 .

[14]  Tae Gyoo Lee,et al.  Analysis of the Two-Frequency Coning Motion with SDINS , 2001 .

[15]  Robin B. Miller A new strapdown attitude algorithm , 1983 .

[16]  Nam Ik Cho,et al.  Approach to direct coning/sculling error compensation based on the sinusoidal modelling of IMU signal , 2013 .

[17]  Tiejun Wu,et al.  A Coning Compensation Algorithm for SINS in High Dynamic Motion , 2011 .

[18]  J. Mark,et al.  Tuning of Coning Algorithms to Gyro Data Frequency Response Characteristics , 2001 .

[19]  Ales Janota,et al.  Improving the Precision and Speed of Euler Angles Computation from Low-Cost Rotation Sensor Data , 2015, Sensors.