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提出了一种基于扩展卡尔曼滤波的空气质量流量估计方法,能融合进气道前体压力测点和空气参数系统的测量信息,减小空气参数测量误差造成的影响。滤波器的观测方程和输出方程根据进气道前体压力分布规律建立,并通过CFD数值计算进行了验证和修正。通过CFD数值计算还获得了各种来流条件下的捕获空气质量流量。仿真结果表明,扩展卡尔曼滤波器能使空气质量流量估计误差小于4%,能有效提升空气质量流量的估计效果。
An air mass flow estimation method based on extended Kalman filter is proposed, which can integrate measurement information of inlet pressure measurement points and air parameter system to reduce the influence of air parameter measurement error. The observation equation and output equation of the filter are established according to the pressure distribution law of the intake manifold and verified and corrected by CFD numerical calculation. CFD numerical calculation also obtained a variety of incoming flow under the conditions of the capture air mass flow. The simulation results show that the extended Kalman filter can make the estimation error of air mass flow less than 4%, which can effectively improve the estimation effect of air mass flow.