Study On The Optimal Control Regular For The Boiler Inflammation System

In order to complete the research on optimal control regular for coal-fired boiler inflammation system .in this paper, a type of coal-fired boiler inflammation system is regarded as the research target, after separately analyzed steam pressure loop and economical inflammation loop, we obtained the relevant control scheme, and designed a kind of fuzzy-Pi compound controller on based of genetic algorithm to control two loops, and using genetic algorithm tool kit below the MATLAB progressed system simulation research.First, this paper gives the main mission of automatic control of coal-fired boiler inflammation system, and introduced actual ordinary control laws of boiler inflammation system study, along with fuzzy control system development and application in the control engineeringAfterwards on based of analyzing coal-fired boiler inflammation system technological process and work process,the coal boiler inflammation system control scheme is designed.Then, this paper introduced the fundamental theory base and design means of fuzzy controller and genetic algorithm, and gives fundamental design process of them.The stress is basing coal-fired boiler inflammation system feature and control demand to design a kind of fuzzy-Pi controller on based of genetic algorithm to control it. The controller refers the error and its variety rate as its inputs. And, in order to make the control qualities much better, concerns them as the performance index to optimize the membership function of the fuzzy variables and the PI's controller parameter by means of online adjujsting the genetic algorithm, inflammation system steam pressure loop and economic inflammation loop. control demand is completed.At last, after the fundamental use means of genetic algorithm tool kit below the MATLAB is introduced, using it has a simulation study on the coal boiler inflammation system, and gives several simulation curves, passes compare, and gains conclusion.