An integrated robust/neural controller with gas turbine applications

Two considerations are presented for the design of a nonlinear gas turbine controller, the rejection of unknown nonlinear disturbances and the change of parameters in the approximate turbine model (regarding different engine operating points). The fixed robust linear controller is enhanced by the nonlinear control signal of neural networks to obtain the performance robustness.<<ETX>>