Multivariable Generalized Predictive Control Method for Aero-Engine

The current aero-engine control algorithm application is mainly Proportional Integral Derivative (PID) control, and it is simple and easy to implement. However, it is difficult to meet the growing requirements of high-performance intelligent engine control based on the PID algorithm. In this paper, a novel multivariable control algorithm, called Multivariable Generalized Predictive Control (MGPC), is studied based on the Generalized Predictive Control (GPC) combined with the intelligent optimization-seeking for aero-engine speed and pressure ratio control. The engine control quality is influenced by some control parameters, including prediction time domain and control time domain. The simulation results show that the designed engine MGPC controller can provide better dynamic and steady control performance than the traditional PID one.