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Establishment Of The Simulation Platform And Study Of Intelligent Control For Marine Power System

Posted on:2013-05-07Degree:MasterType:Thesis
Country:ChinaCandidate:A J WangFull Text:PDF
GTID:2248330395468439Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Marine power system is a more complex and independent system, workingenvironment of it is difficult to control and it has high accident frequency, soresearches on it has very important practical significance. Using computer simulationtechnology to model, the simulation cycle is short, less investment, easy to change theplan, high safety, good repeatability, and simulation results can provide reference andguidance for the actual bench test. The main work is researching and analyzing marinepower system simulation and its control.Based on the mathematical model of marine power system, the paper uses layers ofthe progressive method. Firstly, the traditional control methods are researched andanalyzed, and then adding intelligent control, the research results of different controlmethods are analyzed.This article analyzed the ship power system each component according to theknowledge of the ship at present the basic structure of power system. Build variousparts of the ship power system modeling, establish each part of a simple model inMatlab. In the control study, the first analyzed Traditional PID control principle, thenanalyzed the advantages and disadvantages. Also analyzed the linear optimal controltheory, and on this basis, the intelligent control of the ship power system were studied.Fuzzy control and BP neural network control are used in the intelligent control. Inthe fuzzy control,single fuzzy excitation controller is designed, on the basis of it pairsof fuzzy excitation controller is designed. Excitation and steam-valving fuzzycoordination controller is also designed in order to achieve the purpose of coordinationand control.In the neural network, extracting sample data from fuzzy control part of theexcitation and valve fuzzy coordinated controller, using the neural network to train andsimulation those data, generating fuzzy neural network controller, in order to achievecoordination based on fuzzy neural network control design.The analysis of simulation results show that: Pairs of fuzzy control excitationcontrol in the terminal voltage, speed and power gives satisfactory stability and stableaccuracy, it can maintain power system stability in trouble, and has strong robustness.
Keywords/Search Tags:marine power system, PID, linear optimal, fuzzy, artificial neural networks
PDF Full Text Request
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