Control Performance Optimization of Variable Cycle Aero-engine Based on MTLBO

In view of the characteristics of variable cycle aero-engine with many adjustable variables, Modified Teaching-Learning-Based Optimization (MTLBO) algorithm is adopted to construct an optimization program to optimize the steady-state performance of multi-variable. Under the condition of non-afterburner single-duct with constant main fuel flow, the maximum thrust is optimized under the operation points of low altitude & speed and high altitude & speed, respectively based on MTLBO algorithm. The results show that the convergence of the optimization algorithm is stable, and the possibility of falling into local optimum can be avoided, which proves that the MTLBO algorithm can solve the performance optimization problem of variable cycle aero-engine.