Modeling And Synthesizing The Coordinate Control System Based On Genetic Programming

The coordinate control system is the most important part of power generation unit, and its control quality will impact the security and economies of the unit. From the perspectives of linear control and nonlinear control, this dissertation studies how to modeling and how to synthesize the coordinate control system using some intelligent method. The main work of this thesis covers 4 points as fellows:1. In the typical working conditions, how to modeling the linear model of the coordinate control system using the genetic algorithm and the genetic programming? The answer of the question has two aspects. One is to gain the model framework by theoretical analysis and then to recognize the model parameter using the genetic algorithm. The other is to gain the model framework and model parameter at the same time using the genetic programming.2. To synthesize the coordinate control system based on the fuzzy multiple model theory. In the typical working conditions, the static decoupling controllers of the coordinate control system can be schemed out by using the genetic algorithm. Based on the fuzzy multiple model theory, a fuzzy multiple model controller of the coordinate control system, which control effectualness is robust when the working conditions vary in a large scale, can be work out through the static decoupling controllers mentioned above.3. To modeling the nonlinear model for the coordinate control system. The NARMAX model is eligible for the coordinate control system, and the genetic programming is a good choice to modeling it. As the traditional genetic programming show some shortage when used to modeling the NARMAX model, a novel modeling method is put forward based on the genetic programming and the particle swarm optimization. There are three different methods used to modeling the NARMAX model:the traditional genetic programming;the multiobjective genetic programming;the commixed intelligent method based on genetic programming and particle swarm optimization.4. To synthesize the coordinate control system based on dynamic decouple. A dynamic decouple controller is schemed out based on the genetic programming and particle swarm optimization. After dynamic decoupling, the coordinate control system is synthesized by designing the PID controller of the pressure loop and the power loop.