An Iterative Learning Control of the Parallel Gas Turbines with the Crossing Link

Nguyen Hoang Mai and Nguyen Pham Cong Duc

Gas turbine engine has the highest performance in the engine rotation able up to 44%. In specific applications, gas turbines are used for equipment such as electrical generators, aircraft engines, high-speed boat ... There is a problem with shared power of the GT when we need control parallel GTs. Gas turbine system can use into transmission turbines, cabinet pull in the general. This paper presents an iterative learning controller (ILCer) to control the Parallel Gas Turbines (PGTs) with the speed synchronization. Using Rowen’s model to study control gas turbine and analyze system on the combined ILC with PID to compensate control signals. GTs are a nonlinear delay system, we can’t use PID as a linear system. The application of intelligence to GTs provides a good method to replace traditional controllers. Simulation results for a parallel turbine system with combination of 32MW to explain the theory for detail. We will see that ILC can apply into practice with combination PID controllers to increase control qualities.

Volume 11 | 12-Special Issue

Pages: 599-607

DOI: 10.5373/JARDCS/V11SP12/20193256