Modeling and controlling of engineering ship based on genetic algorithm

In this paper, the model of engineering ship was presented. The ship has no movements´ ability by itself. Its´ motion is adjusting the length of anchor chain controls the course of engineering ship. It limits the moving scope of the ship and makes it not drift about wantonly. But while moving and mooring the ship, because wind, wave, flow and various kinds of random influence is difficult to be predicted, it is difficult to control of the course. Therefore, fuzzy controller is used to improve the controlling performance of the ship, and to accurate precision of geotextiles-laying. A fuzzy logic controller for dynamic positioning of engineering ship in Changjiang River is presented. The core of the fuzzy controller is a set of fuzzy associative memory rules that correlate each group of fuzzy control input sets to a fuzzy control output set. And genetic algorithm is adopted to optimize the rule of fuzzy controller, which enables the controller to produce the better result in case of no priori knowledge. Finally, the mathematics model of the ship is set up and simulation is carried on to the system.