Title :
Rocket roll dynamics and disturbance — Minimal modelling and system identification
Author :
Hann, Christopher E. ; Snowdon, Malcolm ; Rao, Avinash ; Tang, Robert ; Korevaar, Agnetha ; Skinner, Greg ; Keal, Alex ; Chen, Xiaoqi ; Chase, J. Geoffrey
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
The roll dynamics of a 5kg, 1.3 m high sounding rocket are analyzed in a vertical wind tunnel. Significant turbulence in the tunnel makes the system identification of the effective inertia, damping and asymmetry with respect to roll challenging. A novel method is developed which decouples the disturbance from the rocket frame´s intrinsic roll dynamics and allows accurate prediction of roll rate and angle. The parameter identification method is integral-based, and treats wind disturbances as equivalent to a movement in the actuator fins. The method is robust, requires minimal computation, and gave a realistic disturbance distribution reflecting the randomness of the turbulent wind flow. The mean absolute roll rate of the rocket frame observed in experiments was 16.4 degree/s and the model predicted the roll rate with a median error of 0.51 degrees/s with a 90th percentile of 1.25 degrees/s. The roll angle (measured by an encoder), was tracked by the model with a median absolute error of 0.25 degrees and a 90th percentile of 0.50 degrees. These results prove the concept of this minimal modeling approach which will be extended to pitch and yaw dynamics in the future.
Keywords :
actuators; aerodynamics; damping; inertial navigation; ionospheric disturbances; parameter estimation; rockets; turbulence; wind tunnels; actuator fin; minimal modelling; parameter identification; realistic disturbance distribution; rocket roll dynamic; system identification; turbulent wind flow; vertical wind tunnel; wind disturbance; Atmospheric modeling; Data models; Equations; Mathematical model; Rockets; Steady-state; System identification; disturbance; integral-based parameter identification; minimal modelling; rocketry; roll-control; wind-tunnel;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707270