Abstract:
In the rapid development of flexible automation and the broad application of computer technology, industrial monitoring software has played an integral role in all kinds of industrial areas. It allows operators to monitor and control a plant in real-time with feedback from any number of processes.
In this study, the primary objective is to develop the boiler turbine system model in Khartoum north power station. The challenge in controller design for these plants exists because they are typically nonlinear and multi-variable with multiple control objectives. This thesis presents the application of a fuzzy logic based controller for boiler turbine plant to control the drum pressure, power output and water level. Fuzzy control systems have been successfully applied to a wide variety of practical problems. It has been shown that these controllers may perform better than conventional controllers especially when applied to processes difficult to model, with nonlinearities, and when there is heuristic knowledge from human operators.
The scopes include the modeling, designing and simulation of boiler turbine, conventional controller PI and fuzzy controller. The models are carried out using MATLAB/SIMULINK. The simulation results demonstrate that performance of fuzzy logic controller is better.
