A two-stage energy management for integrated thermal/energy optimization of aircraft airborne system based on Stackelberg game

Abstract

As a new integrated airborne electromechanical system, APTMS extracts air, shaft power and fuel from aircraft engines which will cause complex effects on fuel consumption and stability margin of aircraft engine. The performance conflict between aircraft engine and APTMS caused by multiple forms of energy cross-linking greatly increases the difficulty of energy management and optimization. Considering the contradictory of the optimization objectives of this coupling model. a two-stage Stackelberg game is proposed to solve the energy optimization. By setting aircraft engine as a leader and APTMS as a follower with the constraints, an energy optimization Stackelberg game is established. The existence of Stackelberg equilibrium is proved by multivariate nonlinear fitting and the value of equilibrium is obtained by dynamic iteration. Additionally, in order to jump out of the local optimal solution, adaptive chaos search particle swarm optimization (ACPSO) is introduced to the solution accuracy. Finally, compared with multi-objective optimizations base on Pareto equilibrium under typical conditions, the advantages of this new method are verified.