Robust predictive control for anti-rolling path following of underactuated surface vessels using adaptive Kalman filter

With the strong time-varying disturbances in wave fields, the large sway motion of underactuated surface vessels can be caused leading to the control performance reduction and large range of roll angle, such that a novel path following control with roll constraints is proposed. Firstly, the affine switching system model is constructed with coupled surge, sway, roll, and yaw. Then, with augmented state adaptive Kalman filter, the estimations of system state and disturbance can be obtained for the feedforward compensation. Considering the existing estimation error between real and estimated states, the state estimation has been adopted directly in the controller design for the performance improvements. With the convex optimization of linear matrix inequalities, the invariant ellipsoid constraint ensures the close-loop system uniformly bounded and stable. Lastly, the simulation results have verified the effectiveness of the designed control approach.

[1]  Zhongjiu Zheng,et al.  Global Asymptotic Model-Free Trajectory-Independent Tracking Control of an Uncertain Marine Vehicle: An Adaptive Universe-Based Fuzzy Control Approach , 2018, IEEE Transactions on Fuzzy Systems.

[2]  Bruno Jouvencel,et al.  Smooth transition of AUV motion control: From fully-actuated to under-actuated configuration , 2015, Robotics Auton. Syst..

[3]  Zhang Wen-yin.  H_∞ State-feedback Control for Ship Rudder Roll Damping System Based on T-S Fuzzy Model , 2013 .

[4]  Ning Wang,et al.  Fuzzy unknown observer-based robust adaptive path following control of underactuated surface vehicles subject to multiple unknowns , 2019, Ocean Engineering.

[5]  Fuat Alarçin,et al.  INTERNAL MODEL CONTROL USING NEURAL NETWORK FOR SHIP ROLL STABILIZATION , 2007 .

[6]  Caoyang Yu,et al.  Robust fuzzy 3D path following for autonomous underwater vehicle subject to uncertainties , 2017, Comput. Oper. Res..

[7]  Shen Zhi-peng.  Survey for motion control of underactuated surface vessels , 2009 .

[8]  Guangming Xie,et al.  Full-State Regulation Control of Asymmetric Underactuated Surface Vehicles , 2019, IEEE Transactions on Industrial Electronics.

[9]  Kristin Ytterstad Pettersen,et al.  Tracking control of an underactuated ship , 2003, IEEE Trans. Control. Syst. Technol..

[10]  Juergen Hahn,et al.  Model predictive control of reactive distillation for benzene hydrogenation , 2016 .

[11]  Qin Zhang,et al.  On intelligent risk analysis and critical decision of underwater robotic vehicle , 2017 .

[12]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[13]  Zhen Li,et al.  Disturbance Compensating Model Predictive Control With Application to Ship Heading Control , 2012, IEEE Transactions on Control Systems Technology.

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

[15]  Thor I. Fossen,et al.  Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .

[16]  Lionel Lapierre,et al.  Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles , 2018, Int. J. Fuzzy Syst..

[17]  Isabelle Queinnec,et al.  Robust LQR Control for PWM Converters: An LMI Approach , 2009, IEEE Transactions on Industrial Electronics.

[18]  Meng Joo Er,et al.  Tracking-Error-Based Universal Adaptive Fuzzy Control for Output Tracking of Nonlinear Systems with Completely Unknown Dynamics , 2018, IEEE Transactions on Fuzzy Systems.

[19]  Liang Sun,et al.  Path following control for marine surface vessel with uncertainties and input saturation , 2016, Neurocomputing.

[20]  Zhen Li,et al.  A ROBUST NONLINEAR CONTROL DESIGN FOR PATH FOLLOWING OF A MARINE SURFACE VESSEL , 2007 .

[21]  Zhongjiu Zheng,et al.  Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[22]  Guangming Xie,et al.  Yaw-Guided Trajectory Tracking Control of an Asymmetric Underactuated Surface Vehicle , 2019, IEEE Transactions on Industrial Informatics.

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

[24]  Jun Zhang,et al.  Robust model predictive control for path-following of underactuated surface vessels with roll constraints , 2017 .

[25]  Zhen Li,et al.  Path Following with Roll Constraints for Marine Surface Vessels in Wave Fields. , 2009 .

[26]  Jing Sun,et al.  Path following for marine surface vessels with rudder and roll constraints: An MPC approach , 2009, 2009 American Control Conference.

[27]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..