Continuous Differentiator Based on Adaptive Second-Order Sliding-Mode Control for a 3-DOF Helicopter

A novel control scheme for the regulation and trajectory tracking in spite of external perturbations of the three degrees of freedom (3-DOF) helicopter is presented. The scheme allows reduced control effort, vibration reduction, and accurate tracking. The proposed approach combines a continuous differentiator with an adaptive super twisting controller. The differentiator provides state estimation, whereas the adaptive super twisting algorithm is chosen such that the gains of the controller are adapted to reduce the control effort and do not require the knowledge of the bounds of the uncertainties and perturbations. Furthermore, finite time convergence of the continuous differentiator to a neighborhood of the desired trajectory, allows to design independently controller and the differentiator, satisfying the principle of separation. Finally, the proposed control scheme is validated by experimental tests under external disturbances.

[1]  Gang Tao,et al.  A Reconfiguration Scheme for Quadrotor Helicopter via Simple Adaptive Control and Quantum Logic , 2015, IEEE Transactions on Industrial Electronics.

[2]  Leonid M. Fridman,et al.  Second-order sliding-mode observer for mechanical systems , 2005, IEEE Transactions on Automatic Control.

[3]  Hai Lin,et al.  Design and frequency analysis of continuous finite-time-convergent differentiator , 2011, ArXiv.

[4]  A. Levant Robust exact differentiation via sliding mode technique , 1998 .

[5]  Alexander L. Fradkov,et al.  Adaptive Control of 3DOF Motion for LAAS Helicopter Benchmark: Design and Experiments , 2007, 2007 American Control Conference.

[6]  Franck Plestan,et al.  Adaptive robust attitude control for UAVs - Design and experimental validation , 2016 .

[7]  Rong Su,et al.  Self-repairing control of a helicopter with input time delay via adaptive global sliding mode control and quantum logic , 2015, Inf. Sci..

[8]  Antonio Rosales,et al.  Robust regulation for a 3-DOF helicopter via sliding-mode observation and identification , 2012, J. Frankl. Inst..

[9]  Yisheng Zhong,et al.  Robust H∞ attitude control of a laboratory helicopter , 2013, Robotics Auton. Syst..

[10]  Yisheng Zhong,et al.  Robust Attitude Regulation of a 3-DOF Helicopter Benchmark: Theory and Experiments , 2011, IEEE Transactions on Industrial Electronics.

[11]  Anthony J. Calise,et al.  Experimental results on adaptive output feedback control using a laboratory model helicopter , 2002 .

[12]  Yuri B. Shtessel,et al.  A novel adaptive-gain supertwisting sliding mode controller: Methodology and application , 2012, Autom..

[13]  Yury Orlov,et al.  Nonlinear Output Feedback H∞-Tracking Control of a 3-DOF Underactuated Helicopter , 2011 .

[14]  Yisheng Zhong,et al.  Robust hierarchical control of a laboratory helicopter , 2014, J. Frankl. Inst..

[15]  Yisheng Zhong,et al.  Robust LQR Attitude Control of a 3-DOF Laboratory Helicopter for Aggressive Maneuvers , 2013, IEEE Transactions on Industrial Electronics.

[16]  Gang Tao,et al.  An intelligent self-repairing control for nonlinear MIMO systems via adaptive sliding mode control technology , 2014, J. Frankl. Inst..

[17]  Masatoshi Nishi,et al.  Kumamoto University Repository System Title Nonlinear adaptive model following control for a 3-DOF tandem-rotor model helicopter , 2018 .