Title
Robust Distributed Guidance and Control of Multiple Autonomous Surface Vehicles based on Extended State Observers and Finite-set Model Predictive Control
Abstract
This paper is concerned with the guidance and control design for a swarm of multiple under-actuated autonomous surface vehicles subject to unmeasured velocities of neighbors, system uncertainties and ocean disturbances. A robust distributed guidance and predictive control architecture is presented to achieve a desired formation along a parameterized path. Specifically, a robust distributed constant bearing guidance law is designed based on extended state observers. Then, optimized surge speed and heading controllers are designed based on finiteset model predictive control for selecting optimal actions within finite control sets and extended state observers for recovering the unmeasured yaw rate and unknown model. Simulation results demonstrate the effectiveness of the proposed robust distributed cooperative guidance and control methods for path-guided formation maneuvering of multiple under-actuated autonomous surface vehicles.
Year
DOI
Venue
2020
10.1109/CACRE50138.2020.9230166
2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)
Keywords
DocType
ISBN
Autonomous surface vehicles,distributed cooperative guidance,extended state observer,finite-set model predictive control
Conference
978-1-7281-9889-7
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Haoliang Wang113.42
Jizhou Jiang200.34
Wentao Wu330.70
Lu Liu4768.42
Dan Wang571438.64
Zhouhua Peng664536.02