Research On Using GA To Optimize Fuzzy Controller On Ship's Controller

To meet the demand for the project of renovating the middle reaches channel of the Changjiang River, in which renovating building will construct on the soft basic riverbed, the Changjiang River channel office determines to develop an kind of engineer ship which can be used to lay software sand packets to protect bottom of the river, so as to ensure the quality of the renovating project in the channel. At present, is controlled in the manual way, depended on working experience to coordinate and control accepting and putting the length of every six anchor-chain to moving the ship and making a reservation of the ship. This thesis is main research automatic control of moving and mooring the ship, which enables the controlling organization to respond the change of ship's position in time and adjust the courses and flight paths of the ship, and does not need artificial intervention.Since the engineer ship's mathematics model of kinetic control system and interferer is the foundation of system design and simulation experiment, research on the control system of the course of shipping and interferer mathematics model have been carried on at first in the thesis, which offer the essential foundation for the emulation of control system of ship handling in follow-up.In this thesis fuzzy control is used in the ship control to simplify the complicated course of mathematics modeling, and genetic algorithm is introduced to the fuzzy controller which makes the fuzzy controller produces the fuzzy rule sets automatically without priori knowledge, and optimizes controls the rule continuously. Introducing fuzzy control and genetic algorithm to ship control establish the foundation for intelligent ship. At the last part of the thesis, the emulation is given by C++ and matlab. That confirms the advantages of using genetic algorithm in fuzzy controller. And shows the difference in searching speed of genetic algorithm with prior knowledge and without prior knowledge, and tells different population of genetic algorithm has the effect on the algorithm.Because it still lacks the matured experience as reference in this thesis at present, it has some difficulty in applying the technique, and it needs more exploration and study to reach maturation. In addition, the intellectual control technology that is adopted in the thesis is the advanced stage for development of control theory, there to say research of applying genetic algorithm in fuzzy control has made some achievements, but there still exist a lot of problems for further research.With the development of the automatic technology and the computer technology at the high speed in out country, the advance and dependability are keeping on improving too. It is believed that we can develop the intelligent engineer shipping which accord with the conditions of our country ourselves.