Control system design for rotorcraft-based unmanned aerial vehicles using time-domain system identification

This paper introduces the development of flight control system for rotorcraft-based unmanned aerial vehicle (RUAV). In this research, the linear time-invariant model valid for hover is sought. The system response data is acquired in carefully devised experiment procedure and then a linear time-invariant system model is obtained using the time-domain analysis method. The acquired model is used to design feedback controller consisting of inner-loop attitude feedback control, mid-loop velocity feedback control and the outer-loop position control. The proposed controller is implemented on an on-board digital computer and tested in a Berkeley RUAV and shows outstanding hovering performance.

[1]  Mark B. Tischler,et al.  The role of modeling and flight testing in rotorcraft parameter identification , 1986 .

[2]  Raymond W. Prouty,et al.  Helicopter performance, stability, and control , 1986 .

[3]  The Math Works, Inc. The Math Works Inc , 1991, International Conference on Advances in System Simulation.

[4]  E. Feron,et al.  Hierarchical control of small autonomous helicopters , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[5]  H. Shim,et al.  A comprehensive study of control design for an autonomous helicopter , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[6]  Anthony J. Calise,et al.  Implementation of adaptive nonlinear control for flight test on an unmanned helicopter , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[7]  Takeo Kanade,et al.  System identification of small-size unmanned helicopter dynamics , 1999 .