Event-Triggered H∞ Depth Control of Remotely Operated Underwater Vehicles

In this paper, using a novel event-triggered method, a robust <inline-formula> <tex-math notation="LaTeX">${\mathscr H}_{\boldsymbol {\infty }}$ </tex-math></inline-formula> depth tracking controller is designed for a remotely operated underwater vehicle (ROV). It is assumed that the desired trajectory of the ROV is determined by an operator outside of the vehicle based on its needed depth and obstacles in its path. It is also assumed that a wireless network is used to connect the user with the ROV. To decrease the communication rate between the controller and the ROV, a novel nonlinear event-triggered <inline-formula> <tex-math notation="LaTeX">${\mathscr H}_{\boldsymbol {\infty }}$ </tex-math></inline-formula> controller is designed. The effects of the disturbance on the system performance are also attenuated. Stability of the ROV under the designed event-triggered controller is proved through a theorem. Simulation results demonstrate that the error between the depth of the ROV and its time-varying desired trajectory converges to zero using the proposed event-triggered <inline-formula> <tex-math notation="LaTeX">${\mathscr H}_{\boldsymbol {\infty }}$ </tex-math></inline-formula> controller. It is also shown that the communication rate between the designed controller and the ROV is considerably reduced.

[1]  Zhouhua Peng,et al.  Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  Zidong Wang,et al.  A survey of event-based strategies on control and estimation , 2014 .

[3]  Warren E. Dixon,et al.  Nonlinear RISE-Based Control of an Autonomous Underwater Vehicle , 2014, IEEE Transactions on Robotics.

[4]  Maria Letizia Corradini,et al.  A discrete adaptive variable-structure controller for MIMO systems, and its application to an underwater ROV , 1997, IEEE Trans. Control. Syst. Technol..

[5]  Dong Yue,et al.  Relaxed Control Design of Discrete-Time Takagi–Sugeno Fuzzy Systems: An Event-Triggered Real-Time Scheduling Approach , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  Qing-Long Han,et al.  An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems , 2017, IEEE Transactions on Industrial Informatics.

[7]  Qichao Zhang,et al.  Event-Triggered H ∞ Control for Continuous-Time Nonlinear System , 2015, ISNN.

[8]  Fuqiang Li,et al.  Dual-side Event-triggered Output Feedback H∞ Control for NCS with Communication Delays , 2018, International Journal of Control, Automation and Systems.

[9]  Nader Meskin,et al.  Event-Triggered Suboptimal Tracking Controller Design for a Class of Nonlinear Discrete-Time Systems , 2017, IEEE Transactions on Industrial Electronics.

[10]  Chien Chern Cheah,et al.  Can a Simple Control Scheme Work for a Formation Control of Multiple Autonomous Underwater Vehicles? , 2011, IEEE Transactions on Control Systems Technology.

[11]  Van,et al.  L2-Gain Analysis of Nonlinear Systems and Nonlinear State Feedback H∞ Control , 2004 .

[12]  Yongjie Pang,et al.  Adaptive output feedback control based on DRFNN for AUV , 2009 .

[13]  Huazhen Fang,et al.  Advanced Control in Marine Mechatronic Systems: A Survey , 2017, IEEE/ASME Transactions on Mechatronics.

[14]  Jun Wang,et al.  Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation , 2019, IEEE Transactions on Industrial Electronics.

[15]  Simon X. Yang,et al.  Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Tayfun Çimen,et al.  Survey of State-Dependent Riccati Equation in Nonlinear Optimal Feedback Control Synthesis , 2012 .

[17]  Maria Letizia Corradini,et al.  An Actuator Failure Tolerant Control Scheme for an Underwater Remotely Operated Vehicle , 2011, IEEE Transactions on Control Systems Technology.

[18]  Q. Han,et al.  Event‐triggered H∞ control for a class of nonlinear networked control systems using novel integral inequalities , 2017 .

[19]  Lionel Lapierre,et al.  Robust Diving Control of an AUV , 2006 .

[20]  Chao Shen,et al.  Nonlinear model predictive control for trajectory tracking of an AUV: A distributed implementation , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[21]  Paulo Tabuada,et al.  An introduction to event-triggered and self-triggered control , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[22]  Sahjendra N. Singh,et al.  State-dependent Riccati equation-based robust dive plane control of AUV with control constraints , 2007 .

[23]  Jana Fuhrmann,et al.  Guidance And Control Of Ocean Vehicles , 2016 .

[24]  A. Shaw,et al.  Experimental Investigations of Electromagnetic Wave Propagation in Seawater , 2006, 2006 European Microwave Conference.

[25]  Tingwen Huang,et al.  Event-Triggered Distributed Average Consensus Over Directed Digital Networks With Limited Communication Bandwidth , 2016, IEEE Transactions on Cybernetics.

[26]  Chen Peng,et al.  A survey on recent advances in event-triggered communication and control , 2018, Inf. Sci..

[27]  Derong Liu,et al.  Event-Based Constrained Robust Control of Affine Systems Incorporating an Adaptive Critic Mechanism , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[28]  Nathan van de Wouw,et al.  Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance , 2010, IEEE Transactions on Automatic Control.

[29]  Tongwen Chen,et al.  Event detection and control co-design of sampled-data systems , 2014, Int. J. Control.

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

[31]  Haibo He,et al.  Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[32]  Weidong Zhang,et al.  Adaptive non‐singular integral terminal sliding mode tracking control for autonomous underwater vehicles , 2017, IET Control Theory &amp; Applications.

[33]  Frank L. Lewis,et al.  $ {H}_{ {\infty }}$ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[34]  Y. Batmani H∞ suboptimal tracking controller design for a class of nonlinear systems , 2017 .

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

[36]  Nader Meskin,et al.  Nonlinear Suboptimal Tracking Controller Design Using State-Dependent Riccati Equation Technique , 2017, IEEE Transactions on Control Systems Technology.

[37]  Tayfun Çimen,et al.  Systematic and effective design of nonlinear feedback controllers via the state-dependent Riccati equation (SDRE) method , 2010, Annu. Rev. Control..

[38]  Matheus Souza,et al.  ℋ2 dynamic output feedback for local sensor - remote actuator networks , 2016, IMA J. Math. Control. Inf..

[39]  Wen Bao,et al.  Event-triggered robust H∞ control for uncertain switched linear systems , 2017, Int. J. Syst. Sci..

[40]  Edwin Kreuzer,et al.  Depth control of remotely operated underwater vehicles using an adaptive fuzzy sliding mode controller , 2008, Robotics Auton. Syst..