Research on modeling and stability control of micro unmanned helicopter

The micro unmanned helicopter has become a hot spot in the fields of military applications because of its advantages of flexibility, good concealment and the capability of VTOL. In recent years, it has become the focus of the research institutes in various countries. In order to realize the goal of autonomous flight of the micro unmanned helicopter, it is necessary to have a precise model. In this paper, firstly, the theoretical model of the micro unmanned helicopter is carried out, and then a PID controller is designed for the linearized model, and finally, we carry out experiments on the “Ling-QueS” unmanned helicopter system which is designed by the authors of this paper. The results of the experiments show that the designed PID controller in this paper can correct the flight attitude shift effectively, and achieve the goal of stable and reliable flight. It is useful for the flight control system design and the further miniaturization design of the unmanned helicopter.

[1]  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).

[2]  Xin,et al.  Control System Design for an Unmanned Helicopter to Track a Ground Target , 2011 .

[3]  Peter I. Corke,et al.  Low-cost flight control system for a small autonomous helicopter , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[4]  D. Cheng CONTROLLABILITY OF SWITCHED SYSTEMS , 2007 .

[5]  J. Gordon Leishman,et al.  Principles of Helicopter Aerodynamics , 2000 .

[6]  C. M. Vélez,et al.  Modeling, Simulation and Rapid Prototyping of an Unmanned Mini-Helicopter , 2006 .

[7]  Tore Hägglund,et al.  Advanced PID Control , 2005 .

[8]  David A. Peters,et al.  Helicopter rotor dynamic inflow modeling for maneuvering flight , 2001 .

[9]  Lorenzo Marconi,et al.  Robust nonlinear motion control of a helicopter , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[10]  R. Mahony,et al.  Robust trajectory tracking for a scale model autonomous helicopter , 2004 .

[11]  Tao Cheng,et al.  Structural dynamics modeling of helicopter blades for computational aeroelasticity , 2002 .

[12]  Kimon P. Valavanis,et al.  Linear and Nonlinear Control of Small-Scale Unmanned Helicopters , 2010 .

[13]  D. Hazry,et al.  A simple approach on implementing IMU sensor fusion in PID controller for stabilizing quadrotor flight control , 2011, 2011 IEEE 7th International Colloquium on Signal Processing and its Applications.

[14]  Zeng Li-lan Survey of Flight Control Technology for Unmanned Helicopter , 2006 .

[15]  Martin Barczyk Nonlinear State Estimation and Modeling of a Helicopter UAV , 2012 .

[16]  Yisheng Zhong,et al.  Robust Flight Control of Quadrotor Unmanned Air Vehicles , 2012 .

[17]  S. Barnett Linear system theory and design: By C.-T. Chen , 1986, Autom..

[18]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.