A Softly Switching Multiple Model Predictive Control for Aero-engines

This paper presents a multiple model predictive control (MPC) with a softly switching for aero-engines. Firstly, the different local working regions of the nonlinear aeroengines model are linearized. Then, a model predictive controller is designed for each linear model. The traditional hard switching methods for multiple model predictive controllers may result in bad transient behavior. Therefore, a softly switching mechanism is studied in this paper, which adopts the convex combination of the MPC objective functions before and after switching to ensure the smooth transition of aero-engines when switching in adjacent regions. The multi-parametric quadratic programming (MP-QP) algorithm is then used to solve the sub-optimal solution of the problem, which reduces the amount of calculation and obtains an explicit solution. Finally, the reported simulation results of the turbofan engine verify the effectiveness of the suggested algorithm.