Modeling Method for Aeroengine Nonlinear Control System

An aero-engine and non-linear control technology, applied in design optimization/simulation, instrumentation, electrical digital data processing, etc., can solve problems such as difficult online identification, poor system identification speed and robustness, etc., to improve speed and accelerate convergence The effect of speed

Active Publication Date: 2022-04-05
XI AN JIAOTONG UNIV
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Problems solved by technology

On the other hand, the current nonlinear system identification methods mainly focus on the research of neural network, support vector machine, Hammerstein-Wiener model, etc., which perform poorly in the rapidity and robustness of system identification, and are difficult to identify online.

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  • Modeling Method for Aeroengine Nonlinear Control System
  • Modeling Method for Aeroengine Nonlinear Control System
  • Modeling Method for Aeroengine Nonlinear Control System

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Embodiment Construction

[0038] The following will refer to the attached figure 1 to attach Figure 4 Specific examples of the present invention are described in more detail. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0039] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned thr...

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Abstract

The invention discloses a modeling method for a nonlinear control system of an aero-engine. The steps include: setting the initial value of a nonlinear adaptive filter for identifying the input and output of the control system, recording the current and historical input of the control system, and calculating the The input vector obtained from the above input and the FIR filter weight inner product operation, the FIR filter output is obtained, and its local interval index and local normalized coordinates in the spline interpolator are obtained, and the output of the spline interpolator is generated, which is collected by the sensor The output of the control system at the current moment is compared with the output of the spline interpolator to obtain the filter error, and the FIR filter weight and the gradient of the spline interpolation point are calculated respectively according to the filter error, and the FIR filter is calculated respectively according to the gradient The gradient momentum of the weight and the gradient momentum of the spline interpolation point update the FIR filter weight vector and the coordinates of the spline interpolation point respectively, and continue the adaptive process at the next moment from the second step.

Description

technical field [0001] The invention belongs to the technical field of aero-engine control, in particular to a modeling method for a non-linear control system of an aero-engine. Background technique [0002] Aeroengine is a highly complex and precise equipment, which is the product of deep integration of mechanical, thermodynamic, electrical, control, material and other disciplines. The control system is the "nerve center" of an aero-engine, and the reliability and safety of the control system are crucial to the safe operation of an aero-engine. The model is the basis of control. Due to the harsh working environment and changing working conditions of the aeroengine, the controlled object is time-varying. Therefore, a fast controlled object modeling method is more needed. [0003] Traditional modeling methods mainly focus on the study of component mechanism models. On the basis of analyzing the composition of the controlled system, the mathematical relationship between the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/02
Inventor 陈雪峰杨亮东刘金鑫孙闯严如强
Owner XI AN JIAOTONG UNIV
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