Observer-Based Autopilot Heading Finite-Time Control Design for Intelligent Ship with Prescribed Performance

Traffic engineering control is a major challenge in marine transportation. Cost efficiency and high performance demand advanced technologies for the ship control systems. This paper develops an autopilot heading control scheme based on a fuzzy state observer for an intelligent ship on this subject t...

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Published inJournal of marine science and engineering Vol. 9; no. 8; p. 828
Main Authors Zhu, Liyan, Li, Tieshan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2021
Subjects
Adaptive control
adaptive fuzzy control
Algorithms
Approximation
Automatic pilots
autopilot
Autopilots
Control
Control stability
Control systems
Control theory
Controllers
Design
Expected values
finite-time control
Fuzzy control
Fuzzy logic
Marine technology
Marine transportation
Navigation
prescribed performance
Sea transport
state observer
State observers
Tracking errors
Traffic control
Traffic engineering
Water depth
Yaw
Yawing
Online AccessGet full text
ISSN2077-1312
2077-1312
DOI10.3390/jmse9080828

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Abstract Traffic engineering control is a major challenge in marine transportation. Cost efficiency and high performance demand advanced technologies for the ship control systems. This paper develops an autopilot heading control scheme based on a fuzzy state observer for an intelligent ship on this subject to track the prescribed function while calling for performance limitation and order execution time. A fuzzy logic system (FLS) is adopted to approximate the unknown uncertainties caused by the changes in water depth, wind, wave, ship loading, and speed in navigation. State observer is required to obtain unknown yaw rate. By adopting performance function and tracking error transformation techniques, the heading tracking error can converge to prescribed performance bounds. Taking settling time into account, the finite-time adaptive prescribed performance control algorithm can save more resources effectively. Based on the Lyapunov stability theory, the observer-based adaptive fuzzy control approach does not cause any unbounded signal, the system remains stable. Meanwhile, the autopilot heading control system with an unknown yaw rate and constraint state can benefit from the given design.
AbstractList Traffic engineering control is a major challenge in marine transportation. Cost efficiency and high performance demand advanced technologies for the ship control systems. This paper develops an autopilot heading control scheme based on a fuzzy state observer for an intelligent ship on this subject to track the prescribed function while calling for performance limitation and order execution time. A fuzzy logic system (FLS) is adopted to approximate the unknown uncertainties caused by the changes in water depth, wind, wave, ship loading, and speed in navigation. State observer is required to obtain unknown yaw rate. By adopting performance function and tracking error transformation techniques, the heading tracking error can converge to prescribed performance bounds. Taking settling time into account, the finite-time adaptive prescribed performance control algorithm can save more resources effectively. Based on the Lyapunov stability theory, the observer-based adaptive fuzzy control approach does not cause any unbounded signal, the system remains stable. Meanwhile, the autopilot heading control system with an unknown yaw rate and constraint state can benefit from the given design.
Author Zhu, Liyan
Li, Tieshan
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CitedBy_id crossref_primary_10_1109_TIV_2023_3339852
crossref_primary_10_1109_TASE_2024_3457537
crossref_primary_10_3390_jmse11020321
crossref_primary_10_1002_acs_3870
crossref_primary_10_1002_rnc_7578
crossref_primary_10_1016_j_oceaneng_2023_115704
crossref_primary_10_3390_jmse11040745
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Snippet Traffic engineering control is a major challenge in marine transportation. Cost efficiency and high performance demand advanced technologies for the ship...
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StartPage 828
SubjectTerms Adaptive control
adaptive fuzzy control
Algorithms
Approximation
Automatic pilots
autopilot
Autopilots
Control
Control stability
Control systems
Control theory
Controllers
Design
Expected values
finite-time control
Fuzzy control
Fuzzy logic
Marine technology
Marine transportation
Navigation
prescribed performance
Sea transport
state observer
State observers
Tracking errors
Traffic control
Traffic engineering
Water depth
Yaw
Yawing
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Title Observer-Based Autopilot Heading Finite-Time Control Design for Intelligent Ship with Prescribed Performance
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