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    • 61. 发明申请
    • ESTIMATING DYNAMIC THRUST OR SHAFT POWER OF AN ENGINE
    • 估计发动机的动态扭矩或扭矩
    • WO2016133578A2
    • 2016-08-25
    • PCT/US2015/063607
    • 2015-12-03
    • SIKORSKY AIRCRAFT CORPORATION
    • HETTLER, Eric NelsonPALMER, Carl
    • G06F19/10
    • G01L5/133F01D21/003F02C9/00F05D2220/323F05D2260/81F05D2270/71
    • A measuring system is provided that includes a turbine engine thrust estimator that computes "virtual measurements" of dynamic engine thrust and other parameters of interest from test cell data in a very short amount of time. The measuring system 'tunes' a user's engine model, in a numerical propulsion system simulation, by optimizing system biases and health parameters to match the sensor outputs of a set of steady state data points across the operating range. The tuned model is then utilized by the measuring system to create a constant gain extended Kalman filter that is added directly within a code of the numerical propulsion system simulation. Results, including thrust, from the numerical propulsion system simulation with Kalman filter are then presented as 'actual' corrected data.
    • 提供了一种测量系统,其包括涡轮发动机推力估计器,其在非常短的时间内从测试单元数据计算动态发动机推力和其它感兴趣参数的“虚拟测量”。 在数值推进系统仿真中,测量系统通过优化系统偏差和健康参数来调整用户的发动机模型,以匹配整个工作范围内的一组稳态数据点的传感器输出。 调谐模型然后由测量系统利用,以创建直接在数值推进系统仿真的代码内添加的恒定增益扩展卡尔曼滤波器。 结果,包括推力,从卡尔曼滤波器的数值推进系统模拟,然后呈现为“实际”的校正数据。
    • 65. 发明申请
    • NONLINEAR MULTIVARIABLE CONTROL SYSTEM
    • 非线性多重控制系统
    • WO1990007050A1
    • 1990-06-28
    • PCT/US1989004473
    • 1989-10-05
    • ALLIED-SIGNAL INC.
    • ALLIED-SIGNAL INC.PECZKOWSKI, Joseph, Leonard
    • F02C09/28
    • F02C9/28F05D2270/71G05B13/04G05B13/048
    • There is disclosed an apparatus (11) for a method of controlling a plant such as a turbojet engine (13) wherein a model of the plant is created and plant performance request signals (31, 37, 41) are applied to both the plant (13) and the model (51) of the plant. The performance of the model of the plant is used to modify the performance request signals supplied to the plant (13). Plant and plant model responses may also be compared to monitor degradation in performance of the plant. To adapt the scheme to nonlinear plants, the creation of a plurality of linear plant models each mimicking plant operation over a different limited portion of the total range of plant performance is employed and there is a plant model for each of several different plant operation points about each of which, the actual plant operation is approximately linear. The technique may further include the creating of a model (93) of the inverse of the plant, in which case, the step of applying plant performance request signals to both the plant (13) and the model of the plant includes passing the performance request signals through the model of the inverse (93) of the plant and subsequently to both the plant and the model of the plant. A preliminary step of screening the plant performance request and modifying any signals requesting an excessively abrupt change in plant performance is also disclosed.