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本文采用基于LQR的PID控制算法,设计某型号涡扇发动机控制系统。在该算法中,其最优PID控制参数通过设计一线性二次调节器来获得。仿真结果表明,该方法设计的系统控制精度高、鲁棒性强,适于航空发动机控制。 相似文献
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针对目前研究的时间配准方法是在目标运动模型已知的情况下进行时间配准,难以保证目标在复杂机动情况下运动模型多变时的时间配准精度。提出了机动目标的交互多模型扩展卡尔曼滤波(IMM-EKF)时间配准算法,该算法将交互多模型中的每个运动模型分别进行扩展卡尔曼滤波输出同时根据滤波过程中得到的残差计算每个模型的概率,根据模型概率和各模型滤波输出得到时间配准周期内最后一个采样点的测量数据,利用该点的状态和模型概率进行外推就得到时间配准周期和传感器采样周期不成整数比时配准时刻的位置。通过仿真结果表明该算法能够有效降低整体的时间配准误差。该算法提高了时间配准的精度,为数据融合提供了良好的基础。 相似文献
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A hardware-in-the-loop simulating platform is developed to avoid designing defects caused by the complicated logical structure and multiple-functional buildup of the electronic control unit(ECU)in modern diesel engines, and to diminish potential damages on components or human exposure to dangers in R&D endeavor. This platform consists of a computer installed with software Matlab/Simulink/RTW and dSPACE/ControlDesk; a diesel engine ECU, and a dSPACE autobox which runs a real-time diesel engine model. A typical model of diesel engine with turbocharger and intercooler is presented. Based on this model our research is carried out with a real ECU to test its software control strategies. Results show that by using the diesel engine model downloaded inside, the hardware-in-the-loop platform can simulate diesel engine's working conditions and generate all kinds of sensor signals which ECU needs on a real-time basis. So the ECU control strategies can be validated and relevant parameters roughly calibrated. 相似文献
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A hardware-in-the-loop simulating platform is developed to avoid designing de fects caused by the complicated logical structure and multiple-functional build up of the electronic control unit(ECU)in modern diesel engines, and to diminis h potential damages on components or human exposure to dangers in R&D endeavor. This platform consists of a computer installed with software Matlab/Simulink/RTW and dSPACE/ControlDesk; a diesel engine ECU, and a dSPACE autobox which runs a real-time diesel engine model. A ty... 相似文献
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针对航空发动机这一具有耦合和强非线性被控对象,引入了LQG/LTR多变量控制器设计方法,在介绍其原理的基础上利用该方法设计了某型航空涡扇发动机的LQG/LTR控制器;为了检验所设计控制器的性能,设计了硬件在回路仿真系统,从软件编程和硬件选型构建两方面介绍了仿真系统的设计方法,并利用构建的仿真系统验证了所设计的LQG/LTR控制器具有良好的鲁棒性和抗干扰性,表明LQG/LTR方法适合用于航空发动机多变量控制器设计,所设计的硬件仿真系统能较好的再现发动机及其控制系统的工作过程. 相似文献
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