摘要
采用比例-积分-微分神经网络(PIDNN)的控制算法,集合了传统PID控制及神经网络各自的优点,控制发动机在不同工况下的空燃比,实现发动机在不同工况间切换时,能够快速地控制空燃比至目标值.在AMESim软件中建立发动机模型,在MATLAB软件中建立PIDNN控制算法,进行模型在环仿真,仿真结果表明:在不同海拔高度下,PIDNN控制算法都能够准确地把空燃比控制在目标值,当发动机在不同工况间切换时,PIDNN能够在0.5s内把发动机空燃比控制至目标值,并且保证过量空气系数超调量在0.2之内,改善了发动机的动力性、经济性,提高了发动机的响应能力.
Adopting the proportion-integration-differentiation neural network（PIDNN） control algorithm,the advantages of both the tradition PID and neural network were combined.It was used to control the engine air-fuel ratio under different operating conditions, and when the condition changed,it could control the air-fuel ratio to the target value.An engine model was built in software AMESim.The PIDNN control algorithm was built in software MATLAB.Through the model-in-the-loop,the simulation results show that：at different altitudes,the PIDNN could control the air-fuel ratio to the targets accurately.When the engine operating condition changes,the PIDNN could control the air-fuel ratio to the target within 0.5sand ensure the overshoot under 0.2,which results in the improvements of the engine dynamic property,fuel economy and rapid responsibility.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2014年第5期1234-1241,共8页
Journal of Aerospace Power
基金
天津市科技计划(13ZCZDGX04400)
天津市科技计划项目科技支撑重点项目(12ZCZDGX03800)
2013年度广西教育厅科研项目(2013LX2222)
作者简介
黎艺华（1963-），女，广西阳朔人，副教授，研究方向为电子技术．
通讯作者：胡春明（1967-），男，河北衡水人，研究员，博士，研究方向为内燃机电控技术的应用．E-mail：cmhu@tju．edu．cn
