Hybrid Robust PID Control of Unknown Quadrotor UAVs

In this paper, a novel hybrid robust PID control (HRPIDC) scheme is proposed to address asymptotical trajectory tracking control problem of unmanned aerial vehicles (UAVs) with unknown dynamics and disturbances. Main contributions of this study are as follows: 1) Different from the previous approaches, within the HRPIDC scheme, discrete incremental PID control laws and data-driven sliding mode control (DSMC) are effectively cohered to deal with the tracking control problems of the quadrotor UAVs; 2) By applying the data-driven strategy, a novel time-varying data-driven sliding surface is designed for position subsystem and attitude subsystem, thereby contributing to strong robustness in terms of disturbances and unmodeled dynamics; 3)The feasibility of the proposed HRPIDC strategy is verified by simulation studies in comparison with the conventional PID control, and the effectiveness and superiority of the HRPIDC approach when applying to the trajectory tracking control of the quadrotor UAVs are further demonstrated.

[1]  Xiangyang Zhu,et al.  Development of a Quadrotor Test Bed — Modelling, Parameter Identification, Controller Design and Trajectory Generation , 2015 .

[2]  Mahmoud Moghavvemi,et al.  Flight PID controller design for a UAV quadrotor , 2010 .

[3]  Guangming Xie,et al.  Hybrid finite-time trajectory tracking control of a quadrotor. , 2019, ISA transactions.

[4]  Quan Quan,et al.  Robust Pose Estimation for Multirotor UAVs Using Off-Board Monocular Vision , 2017, IEEE Transactions on Industrial Electronics.

[5]  Quan Quan,et al.  Attitude control of a quadrotor aircraft subject to a class of time-varying disturbances , 2011 .

[6]  Zhang Zhi,et al.  Feedback linearization and continuous sliding mode control for a quadrotor UAV , 2008, 2008 27th Chinese Control Conference.

[7]  Ning Wang,et al.  Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[8]  Gang Tao,et al.  Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV , 2016, IEEE Transactions on Industrial Electronics.

[9]  Guilherme V. Raffo,et al.  Robust Nonlinear Control for Path Tracking of a Quad‐Rotor Helicopter , 2015 .

[10]  Ümit Özgüner,et al.  Sliding Mode Control of a Quadrotor Helicopter , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[11]  Youmin Zhang,et al.  Fault tolerant control of a quadrotor UAV using sliding mode control , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).

[12]  H. Voos.  Nonlinear and neural network-based control of a small four-rotor aerial robot , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.