论文信息 - An Effective Motion Control Based on 2-DOF PID and ELM for AUV

An Effective Motion Control Based on 2-DOF PID and ELM for AUV

In the complex sea conditions, autonomous underwater vehicle (AUV) need to perform some high-precision tasks, which requires the motion control of AUV have the best command tracking performance, anti-interference ability and robustness. We adopt an effective feed-forward two degree-of-freedom (2-DOF) PID control to ensure the motion control system of AUV have better anti-interference ability and command tracking performance, and use Extreme Learning Machine (ELM) to learn and train corresponding parameters set in order to obtain appropriate parameters quickly and reduces the cumbersome process of artificially adjusting the parameters. The horizontal experiments have been carried out in December 2017 and April 2018 at TuanDao bay, QingDao using own AUV platform, Sailfish.

[1] Junku Yuh,et al. Modeling and control of underwater robotic vehicles , 1990, IEEE Trans. Syst. Man Cybern..

[2] Timothy Prestero,et al. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle , 2001 .

[3] Guang-Bin Huang,et al. Learning capability and storage capacity of two-hidden-layer feedforward networks , 2003, IEEE Trans. Neural Networks.

[4] Tao Liu,et al. Decoupling two-degree-of-freedom control strategy for cascade control systems , 2005 .

[5] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[6] Mario Milanese,et al. Robust feedforward design for a two-degrees of freedom controller , 2007, Syst. Control. Lett..

[7] Ramon Vilanova,et al. Robust tuning of Two-Degree-of-Freedom (2-DoF) PI/PID based cascade control systems , 2009 .

[8] Ramon Vilanova,et al. Model-reference robust tuning of 2DoF PI controllers for first- and second-order plus dead-time controlled processes , 2012 .

[9] Leigh McCue,et al. Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf] , 2016, IEEE Control Systems.