Multivariable Dynamic Performance Seeking Control of Civil Turbofan Engine*

As regards gas turbine engine control, how to achieve the optimal performance of engine within multiple control and physical constraints in real time is a sticky problem to be solved. A novel multivariable optimal control architecture is proposed to compensate engine into a pseudo-linear system by using the nonlinear dynamic inverse and the constrained optimization, and then linear feedback controller is used for control synthesis. At each sampling instant, a real-time linearized model of engine is applied to reduce computational complexity. The simulation results show the resultant control system of civil turbofan engine has good decoupling and tracking response.