Trajectory following and stabilization control of fully actuated AUV using inverse kinematics and self-tuning fuzzy PID.

Autor: Hammad MM; Electrical and Control Engineering, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt., Elshenawy AK; Electrical and Control Engineering, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt., El Singaby MI; Electrical and Control Engineering, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2017 Jul 06; Vol. 12 (7), pp. e0179611. Date of Electronic Publication: 2017 Jul 06 (Print Publication: 2017).
DOI: 10.1371/journal.pone.0179611
Abstrakt: In this work a design for self-tuning non-linear Fuzzy Proportional Integral Derivative (FPID) controller is presented to control position and speed of Multiple Input Multiple Output (MIMO) fully-actuated Autonomous Underwater Vehicles (AUV) to follow desired trajectories. Non-linearity that results from the hydrodynamics and the coupled AUV dynamics makes the design of a stable controller a very difficult task. In this study, the control scheme in a simulation environment is validated using dynamic and kinematic equations for the AUV model and hydrodynamic damping equations. An AUV configuration with eight thrusters and an inverse kinematic model from a previous work is utilized in the simulation. In the proposed controller, Mamdani fuzzy rules are used to tune the parameters of the PID. Nonlinear fuzzy Gaussian membership functions are selected to give better performance and response in the non-linear system. A control architecture with two feedback loops is designed such that the inner loop is for velocity control and outer loop is for position control. Several test scenarios are executed to validate the controller performance including different complex trajectories with and without injection of ocean current disturbances. A comparison between the proposed FPID controller and the conventional PID controller is studied and shows that the FPID controller has a faster response to the reference signal and more stable behavior in a disturbed non-linear environment.
Databáze: MEDLINE
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