Advanced Control of Boiler Drum Water Level Based on Cloud Model Theories

Abstract

In order to implement an excellent control for boiler drum water level at a power plant, nonlinear systems with long time-delay, a new intelligent control algorithm based on cloud model theories is proposed. According to the requirements of boiler drum water level control system, a two-dimensional cloud model controller is designed by incorporating deviation signals and deviation changing rates of the drum water level as its inputs, three parameters of PID as its outputs which are adjusted real-time by generating cloud mapping rules to realize fast and accurate control for the drum water level. Computer simulation shows that the cloud model controller proposed in this paper can significantly reduce the overshoot and response time of drum water level.