AERO-ENGINE ONLINE OPTIMIZATION AND MULTIVARIABLE CONTROL DESIGN METHOD BASED ON MODEL PREDICTION

摘要

An aero-engine online optimization and multivariable control design method based on model prediction control. A control system comprises two parts: the first part is a prediction model acquisition layer configured to continuously establish an engine small-deviation linear model near different steady-state points based on the actual working state of each control cycle and an external environmental parameter of the aero-engine, and provide a model parameter to a controller; and the second part is a control rule decision layer. A closed-loop structure is formed by the model prediction controller and an external output feedback. The model prediction controller controls a command and the related constraint limits based on an engine model in the current state, and determines the output of the controller at the next moment. The external output feedback introduces the aero-engine actual output into a decision on future controlled quantity of the controller to compensate for the influence of model mismatch and external disturbances, to realize multivariable control and online optimization of the aero-engine, thereby improving the control precision of the control system.