Koopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan Engine
The study developed an adaptive Koopman-based model predictive controller (AKMPC) for controlling a two-spool turbofan engine. It uses a physics-based model and a metaheuristic method (MH-EDMD) to create a single, reusable Koopman model that captures spool speed and pressure ratio dynamics. This approach outperforms other methods, especially under varying flight conditions, by handling nonlinearities and constraints effectively.