Multi-agent chaos particle swarm optimization algorithm of thrust allocation for dynamic positioning vessels

As an important component of the vessel's Dynamic Positioning (DP) System, thrust allocation determines the control input of each thruster device from the control law. Thrust allocation problems can be formulated as nonlinear optimization problems. A chaos Particle Swarm Optimization (PSO) algo...

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Bibliographic Details
Main Authors: Xu Guang-chi, Zhao Da-wei, Zhang Kai-wei, Ge Jing-hua
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Allocations
Azimuth
Chaos theory
CPSO
Dynamic positioning
Dynamical systems
Heuristic algorithms
Multi-Agent
Multiagent systems
Nonlinear dynamics
Optimization
optimization algorithm
Particle swarm optimization
Resource management
Searching
Sociology
Statistics
Swarm intelligence
Thrust
thrust allocation
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Summary:As an important component of the vessel's Dynamic Positioning (DP) System, thrust allocation determines the control input of each thruster device from the control law. Thrust allocation problems can be formulated as nonlinear optimization problems. A chaos Particle Swarm Optimization (PSO) algorithm combined with multi-agent scheme is proposed for the thrust allocation in this paper. The algorithm which uses multi-agent topological structure has three functions that keeps the diversity of the particle swarm population, improving particle swarm global search ability, and enhancing information diversity. Relying on chaotic local search to get rid of local optima, it can also improve the convergence precision. The numerical simulations are conducted to demonstrate the effectiveness of the proposed methods, and the results are compared with PSO algorithm.
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2015.7260007