Application Of Chaos Control Theory On Ship Power System

Chaos control theory is a important part of Chaos theory, and it is also a indispensable part of nonlinear theory. It has many characteristics, such as extremely sensitive to initial conditions, aperiodicity orbits, existing chaos attractor and so on. These characteristics definitely descript Rules and characteristics of Nonlinear movement. so Chaos theory has already applied to a lot of nonlinear science.Ship power system is a typical nonlinear system. With the scale of the power system increasing, it's nonlinear characteristics also become more and more complex and obvious. Under certain conditions, even Chaos oscillation phenomena occurs. If we don't control the oscillation, it may directly lead to Generator voltage collapse or unit solution columns, and it also form a certain threat of the safe and stable operation of the system. Furthermore, the chaos phenomena is very sensitive to the initial value and common method of nonlinear control can't keep the system running stably. Hence it is of grate significance that we should study the chaos control of ship power system. Concerned with the chaotic behavior of the power system under certain conditions, ship power system of second order model have been studied as a example of chaos control in this paper. The main research contents are shown:(1) Research on chaotic characters of ship power system. Exploring nature of chaos, reconstruction theory and choosing the parameters of phase space reconstruction. Separately using the quantitative and qualitative method identify the ship power system; Focusing on Lyapunov index identifying method. And using MATLAB to simulate and obtain the results. Consequently, preparing for the research of chaos control.(2) Research on Ship model of power system. According to the analysis of The operation principle and research material of ship power system, we research Ship power system mathematical model from second order to seven order. The parameters of the model were discussed in the paper, and focusing on the ship power system of second order model.(3) Design of feedback controller. Using Melnikov's method to determine the parameters of the controller,500points and5000points were separately selected to simulate the ship power system; In the aspect of accurate feedback linear controlling, the system was accurately linearizated and optimal controller was designed with the optimal control theory. The results show that the controller can effectively suppress the chaotic oscillations. The designed controller was added to the model and MATLAB was used to simulate.(4) Design of RBF neural network controller. Ship power system is easily affected by external interference and hence it is similar to the RBF neural network.Designing approximation operator and adding designed output time delay feedback controller into it. It shows that the dynamic behavior of the system can be stabilized better by the joint controller.