An Efficient Fuzzy-GA Flow Control of Turbine Compressor System: A Process Control Case Study

Abstract

In this paper, an optimal control for gas turbine and compressor system using fuzzy logic, genetic algorithms have been suggested. Gas turbine compressor system is most widely used in chemical industries. The primary objective of this kind of setup is to control the flow rate of high pressure steam. Different controller architecture has been taken up to control the flow of gas. Firstly, a conventional PID controller is used to control the flow, which cannot provide an optimal control due to its inherent disadvantages. To overcome this problem artificial intelligence techniques using fuzzy logic and genetic algorithms have been implemented. The transient and steady state response and performance criteria IAE, ITAE have been discussed. The result shows the better optimization of fuzzy GA controllers.