Abstract: Aeroengine online optimization methods are studied in this article. An improved sequential linear programming (SLP) method called feasible descent sequential linear programming (FSLP) is proposed to solve normal nonlinear optimization problems, and not only the optimality but also the feasibility is guaranteed by an appropriate step modification algorithm. The convergence of the core algorithm of FSLP is proved according to the duality theory. The principle of the step modification algorithm is analyzed, and the numerical recipe realizing this algorithm is introduced in detail. As a simulation example, the FSLP algorithm is applied to in the maximum thrust control mode for the performance of a certain two-spool turbofan engine. The simulation results show that FSLP possesses greater feasibility than the traditional sequential optimization programming method in solving aeroengine online optimization problems.

Key words: aeroengine, online optimization algorithm, sequential linear programming method, step modification, maximum thrust control mode