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缸内直喷汽油机的自抗扰轨压跟踪控制器设计
引用本文:刘奇芳,宫洵,胡云峰,陈虹.缸内直喷汽油机的自抗扰轨压跟踪控制器设计[J].控制理论与应用,2013,30(12):1595-1601.
作者姓名:刘奇芳  宫洵  胡云峰  陈虹
作者单位:吉林大学汽车仿真与控制国家重点实验室,吉林大学汽车仿真与控制国家重点实验室,吉林大学汽车仿真与控制国家重点实验室,吉林大学控制科学与工程系
基金项目:教育部“长江学者和创新团队发展计划”资助项目(IRT1017); 国家自然科学基金资助项目(61034001); 吉林省科技发展计划重大专项 项目(20116001).
摘    要:获得期望的共轨压力是保证缸内直喷发动机(GDI)稳定工作和喷油量精确控制的一个重要前提. 本文针对缸内直喷汽油发动机轨压控制问题, 首先通过动力学分析建立了共轨燃油喷射系统的数学模型; 由于系统中存在有较强的非线性和不确定性, 采用基于模型但对模型的精确形式依赖较小的自抗扰控制技术设计轨压跟踪控制器,其中线性扩张状态观测器(ESO) 对系统存在的总扰动和不确定性进行了估计, 非线性误差反馈控制(NLSEF) 则采用反馈补偿实现扰动的抑制. 最后, 通过给定不同的参考轨压对控制器的有效性进行验证, 仿真结果表明控制性能是满意的.

关 键 词:轨压控制    自抗扰控制    缸内直喷汽油机    扩张状态观测器
收稿时间:2013/9/28 0:00:00
修稿时间:2013/11/2 0:00:00

Active disturbance rejection control of fuel rail pressure for gasoline direct injection engines
LIU Qi-fang,GONG Xun,HU Yun-feng and CHEN Hong.Active disturbance rejection control of fuel rail pressure for gasoline direct injection engines[J].Control Theory & Applications,2013,30(12):1595-1601.
Authors:LIU Qi-fang  GONG Xun  HU Yun-feng and CHEN Hong
Affiliation:State Key Laboratory of Automotive Simulation and Control, Jilin University,Jilin universityState Key Laboratory of Automotive Simulation and Control, Jilin University,,State Key Laboratory of Automotive Simulation and Control, Jilin University,Department of Control Science and Engineering, Jilin University
Abstract:The desired fuel rail pressure is a very important precondition for engine stable operation and precise control of fuel injection quantity. In this paper, the rail pressure control problem of gasoline direct injection (GDI) engine is considered. Firstly, a mathematical model of fuel rail injection system is established through dynamic analysis. To deal with the highly nonlinear dynamics and the uncertainties, the active disturbance rejection control technique is applied, which requires little information of the plant, to design the rail pressure tracking controller. In this controller, a linear extended state observer (ESO) is used to estimate the unknown dynamics of the system together with the external disturbance in realtime. The estimated disturbance is compensated by the control law of nonlinear error state feedback (NLESF) controller. The effectiveness of these controllers is validated by tracking different given reference of rail pressures. Simulation results also demonstrate that controller performance is satisfactory.
Keywords:rail pressure control  active disturbance rejection control  gasoline direct injection engines  extended state observer
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