A Multivariable Performance Recovery Control Method for Turboprop Engine Based on Data Prediction Model

Due to the unique propeller of turboprop engines and the conservative control strategies implemented for safety, traditional turboprop engines are unable to meet current control requirements. Hence, this article proposes a method for achieving multivariable performance recovery control of turboprop engines using a data-driven predictive model. The method designs a main controller for the turboprop engine based on the model-free adaptive predictive control algorithm, incorporating constraints into performance indices to realize overload protection for constrained parameters. The main contributions are as follows: 1) The integrated control of the propeller and engine is achieved by combining inner and outer loop control, reducing the pilot's operational burden. 2) The method uses a dynamically established linear model to transform the complex nonlinear constrained optimization problem into a quadratic programming problem, which ensures good real-time performance. 3) Under performance degradation, the predictive model ensures that constrained parameters remain within protection boundaries, simplifying the control system structure while effectively completing control tasks. Through turboprop engine simulation comparison experiments, the real-time performance, response to performance parameters, and overload protection capability of the controller were verified. The method demonstrates advantages in both control performance and time efficiency, providing an excellent alternative control solution in the case of engine performance degradation.