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作 者:刘佩松 肖玲斐 陈勇兴[1] LIU Pei-song;XIAO Ling-fei;CHEN Yong-xing(College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China;State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,Zhejiang University 310027,China)
机构地区:[1]南京航天航空大学能源与动力学院,江苏南京210016 [2]浙江大学流体动力与机电系统国家重点实验室,浙江杭州310027
出 处:《计算机仿真》2022年第11期27-31,37,共6页Computer Simulation
基 金:国家自然科学基金(51876089);流体动力与机电系统国家重点实验室开放基金(GZKF-202005)。
摘 要:为提高多电飞机直流母线稳定性及提高能量利用效率,基于模型预测控制(Model predictive control,MPC)理论引入反馈校正策略并结合PI控制方法,针对混合动力系统(Hybrid power syst-em,HPS)提出了一种能量管理策略。根据直流母线、蓄电池、超级电容及燃料电池的工作特性,建立了HPS的微分方程模型。在预测控制器设计中,以保证直流母线电压稳定及降低燃料电池消耗为目标,并考虑了对约束的处理。最后通过对该HPS施加随时间变化的负载,将所提的MPC-PI策略与传统的PI方法对比,通过仿真验证了所提方案的可行性和有效性。In order to enhance the stability of the DC bus and improve the energy utilization efficiency of more electric aircraft(MEA),introducing a feedback correction strategy based on model predictive control(MPC)theory combined with the PI control method,an energy management strategy is proposed for the hybrid power system(HPS).According to the working characteristics of DC bus,battery,supercapacitor and fuel cell,differential equation models of HPS are established.In the design of the predictive controller,the goal is to ensure the stability of the DC bus voltage and reduce fuel cell consumption.At the same time,the treatment of constraints is considered.In addition,by applying a time-varying load to the HPS,the proposed MPC-PI strategy is compared with the traditional PI method.The feasibility and effectiveness of the proposed scheme are verified through simulation.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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