Strong adaptive attitude tracking controller design with dual-model structure for unmanned helicopter

The main objective of this research is to provide an efficient and flexible control approach for unmanned helicopter (UH) to overcome the major difficulties in aerodynamic parameter uncertainties. A strong adaptive tracking controller with dual-model structure, which has significant advantages of separating model tracking parameter design from adaptive control, is presented for the attitude control problem, and the system stability margin is improved in the process of adjustment parameter correction and tracking error is reduced. The sensors, noise influence on adjustable parameter correction has been reduced through adding a state filter behind the adjustable system. The efficiency and feasibility of this method are provided by flight test.

[1]  Tong Heng Lee,et al.  Design and implementation of a robust and nonlinear flight control system for an unmanned helicopter , 2011 .

[2]  Sarangapani Jagannathan,et al.  Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Zheng Fang,et al.  Robust Adaptive Integral Backstepping Control of a 3-DOF Helicopter: , 2012 .

[4]  Kimon P. Valavanis,et al.  Linear Tracking Control for Small-Scale Unmanned Helicopters , 2012, IEEE Transactions on Control Systems Technology.

[5]  Shaheen Ahmad,et al.  Dynamical sliding mode control approach for vertical flight regulation in helicopters , 1994 .

[6]  H.-T. Liu,et al.  Synchronised trajectory-tracking control of multiple 3-DOF experimental helicopters , 2005 .

[7]  Kenzo Nonami,et al.  Model-based optimal attitude and positioning control of small-scale unmanned helicopter , 2005, Robotica.

[8]  Eric N. Johnson,et al.  Adaptive Trajectory Control for Autonomous Helicopters , 2005 .

[9]  Hailong Pei,et al.  Small unmanned helicopter flight controller design by use of integral MPC and adaptive backstepping , 2012, Proceedings of the 31st Chinese Control Conference.

[10]  Magdi S. Mahmoud,et al.  Improved digital tracking controller design for pilot-scale unmanned helicopter , 2012, J. Frankl. Inst..

[11]  Ho-Chan Kim,et al.  Parameter identification and design of a robust attitude controller using H∞ methodology for the raptor E620 small-scale helicopter , 2012 .

[12]  William C. Messner,et al.  Design and Flight Testing of an H00 Controller for a Robotic Helicopter , 2006 .

[13]  H. Jin Kim,et al.  Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter , 2009 .

[14]  Eric N. Johnson,et al.  Adaptive Flight Control for an Autonomous Unmanned Helicopter , 2002 .

[15]  Takeo Kanade,et al.  Design and Flight Testing of a High-Bandwidth H-Infinity Loop Shaping Controller for a Robotic Helicopter , 2002 .

[16]  R. Lozano,et al.  Robust control design based on sliding mode control for hover flight of a mini tail-sitter Unmanned Aerial Vehicle , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[17]  NonamiKenzo,et al.  Model-based optimal attitude and positioning control of small-scale unmanned helicopter , 2005 .

[18]  Arthur Richards,et al.  AIAA Guidance, Navigation, and Control Conference , 2012 .

[19]  Ben M. Chen,et al.  Design and implementation of a flight control system for an unmanned rotorcraft using RPT control approach , 2011, Proceedings of the 30th Chinese Control Conference.

[20]  Tong Heng Lee,et al.  Design and implementation of an autonomous flight control law for a UAV helicopter , 2009, Autom..