南京航空航天大学学报2025，Vol.57Issue(4)：620-629,10.DOI:10.16356/j.1005-2615.2025.04.004
基于纳什最优分布式预测控制的发动机能量管理
Engine Energy Management Based on Nash Optimal Distributed Model Predictive Control
摘要
Abstract
In the context of the interconnection and partial independence of the propulsion and electric power systems of more electric aircraft,a more electric aircraft engine energy management algorithm based on Nash optimal distributed model predictive control is proposed.Initially,an architecture for the energy management system of more electric aircraft engines is introduced,and each part of the system is modeled.Subsequently,for the controlled object,a distributed predictive control algorithm considering interactive variables is proposed based on Nash optimal theory.Furthermore,the convergence of this algorithm is analyzed and proven,with convergence conditions provided.Simulation experiments based on component-level models demonstrate that the proposed energy management architecture,along with the Nash equilibria-based optimal distributed predictive control algorithm,exhibits rapid response and superior control performance.When applied to the aircraft engine control,the adjustment time is less than 2 s,and it ensures that the DC bus voltage remains within an appropriate range,effectively managing variable loads.关键词
多电航空发动机/分布式模型预测控制/能量管理/纳什最优理论Key words
more electric aeroengine/distributed model predictive control/energy management/Nash optimal theory分类
信息技术与安全科学引用本文复制引用
肖玲斐,谭雨硕,刘佩松,胡峻源..基于纳什最优分布式预测控制的发动机能量管理[J].南京航空航天大学学报,2025,57(4):620-629,10.基金项目
国家自然科学基金(62373185). （62373185）
