Autonomous Hovering of an Experimental Unmanned Helicopter System with Proportional-Integral Sliding Mode Control

This paper presents a method of approaching the attitude control of an autonomously hovering unmanned helicopter system. The proportional-integral sliding mode controller (PISMC) features a combination of the conventional sliding mode control (SMC) and the integral sliding mode control (ISMC). By applying the PISMC algorithm, the controller is capable of providing stable roll and pitch control of the main rotor simultaneously. To show how PISMC may improve system performance, this paper develops an experimental unmanned helicopter system to assess the performance of the proposed controller. The results of the simulation show that the tracking error of the PISMC is not only smaller but also converges more quickly than that of the conventional SMC. Resulting roll and pitch controllers are successfully verified in computer simulations and actual flight tests. The flight test results presented in the paper are found to be consistent with the simulation results.

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

[2]  S. R. Wells,et al.  Sliding mode control applied to reconfigurable flight control design , 2002 .

[3]  Steven Lake Waslander,et al.  Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Qinglei Hu,et al.  Robust Backstepping Sliding Mode Attitude Tracking and Vibration Damping of Flexible Spacecraft with Actuator Dynamics , 2009 .

[5]  V. Utkin,et al.  Integral sliding mode in systems operating under uncertainty conditions , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[6]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[7]  James Lam,et al.  Robust integral sliding mode control for uncertain stochastic systems with time-varying delay , 2005, Autom..

[8]  Yen-Ping Chen,et al.  Bang-Bang Controller Design for Servomechanisms Using the Sliding-Mode Theory , 1992, Singapore International Conference on Intelligent Control and Instrumentation [Proceedings 1992].

[9]  V. Utkin.  Variable structure systems with sliding modes , 1977 .

[10]  Bor-Ren Lin,et al.  The Novel Adaptive Sliding Mode Position Control for Synchronous Reluctance Motor Drive , 2008 .

[11]  C. Yang,et al.  Nonlinear H~ ¿ Flight Control of General Six-Degree-of-Freedom Motions , 2000 .

[12]  Fei-Bin Hsiao,et al.  An unmanned helicopter vehicle system development , 2007 .

[13]  Jean-Jacques E. Slotine,et al.  Sliding controller design for non-linear systems , 1984 .

[14]  Myung-Joong Youn,et al.  Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique , 2000, IEEE Trans. Control. Syst. Technol..

[15]  Roland Siegwart,et al.  Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[16]  Rong-Fong Fung,et al.  A variable structure control with proportional and integral compensations for electrohydraulic position servo control system , 1997 .

[17]  Chun-Chieh Wang,et al.  Complementary sliding control of non-linear systems , 2002 .

[18]  T. Chern,et al.  Design of integral variable structure controller and application to electrohydraulic velocity servosystems , 1991 .