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. 2018 Dec 21;19(1):24.
doi: 10.3390/s19010024.

Novel Fuzzy PID-Type Iterative Learning Control for Quadrotor UAV

Jian Dong  1 , Bin He  2
Affiliations

Novel Fuzzy PID-Type Iterative Learning Control for Quadrotor UAV

Jian Dong et al. Sensors (Basel). .

Abstract

Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft.

Keywords: fuzzy control; iterative learning control; proportional-interactive-derivative (PID); quadrotor unmanned aerial vehicle (UAV); trajectory tracking.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Quadrotor structure.
Figure 2
Figure 2
System architecture of the fuzzy PID-ILC for the quadrotor.
Figure 3
Figure 3
Fuzzy membership functions.
Figure 4
Figure 4
The model of quadrotor aircraft in the Gazebo simulation environment.
Figure 5
Figure 5
The flying process of the quadrotor aircraft in the Gazebo simulation environment.
Figure 6
Figure 6
Trajectory of the quadrotor flight.
Figure 7
Figure 7
Maximum absolute values of the tracking error.
Figure 8
Figure 8
The changing curves of the tracking errors in the final iteration.
See this image and copyright information in PMC

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