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The Application of Fuzzy-Neural System on Avoiding of Ship Collision

Author: TangSuiXin
Tutor: ChenSanBao
School: Wuhan University of Technology
Course: Control Theory and Control Engineering
Keywords: Fuzzy Control Artificial Neural Networks Ship Collision Avoidance Fuzzy Neural Control
CLC: TP183
Type: Master's thesis
Year: 2006
Downloads: 123
Quote: 1
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Abstract


With the increase in world import and export trade as well as the ship towards the development of large-scale and high-speed direction , the ship collision accident in increasing . Countries around the world are seeking an effective means of automatic collision avoidance to reduce collisions . In this paper, a detailed analysis of the principle of ship collision avoidance . The ship is the cause of the collision , and the ship collision process . Ship Collision Avoidance principle , to explore the concept of ship collision related parameters in touch and ship DCPA ( closest passing distance ) and TCPA ( encounter time) mathematical model , as well as prevention countermeasures ship collision . Briefly the composition of the basic theory of fuzzy control and fuzzy control system , according to the the ship sailed control characteristics , study the the ship motion PID control based on second-order transfer function model and its control simulation . Elaborated the concept of collision risk , study the collision risk model based on the fuzzy theory . Study the artificial neural network based on BP neural network algorithm , neural network adaptive and self- learning function to memory , learning risk judgment experts sample , and the use of network risk determine the ship will encounter the situation on the nerve network evaluation method . Elaborated several BP network algorithm improved method of analysis of the existing problems in the practical application of the BP network . Finally, using the improved BP neural network : an adaptive learning rate algorithm momentum BP neural network to establish Preventing Collisions ship based on neural network model simulation examples illustrate the advantages of the network with momentum - adaptive learning rate algorithm . Focuses on the evaluation and establishment of fuzzy theory and neural network - based ship collision risk evaluation model ship collision risk . For fuzzy control and neural network control of their own strengths and weaknesses , the basis of the above work , a combination of the theory of neural networks and fuzzy theory . Research and analysis of a Ship Intelligent Collision Avoidance expert system framework . At present, more and more advanced navigation equipment and marine equipment applied to navigation , such as AIS Automatic Identification System , ARPA radar , electronic chart information display system (ECDIS), GPS -precision positioning instrument, and so the use of these advanced devices ship intelligent Collision Avoidance expert system with the eventual realization of the possibility .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
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