Aero-engine nonlinear control system modeling method

An aero-engine, nonlinear control technology, applied in instrumentation, design optimization/simulation, electrical and digital data processing, etc., can solve the problems of difficult online identification, poor system identification rapidity and robustness, etc., to improve speed and speed up convergence the effect of speed

Active Publication Date: 2020-06-12
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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  • Aero-engine nonlinear control system modeling method
  • Aero-engine nonlinear control system modeling method
  • Aero-engine nonlinear control system modeling method

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[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 an aero-engine nonlinear control system modeling method. The method comprises the following steps: setting an initial value of a nonlinear adaptive filter for identifying inputand output of a control system; recording current and historical moment inputs of the control system; performing inner product operation on an input vector obtained on the basis of the input and theweight of the FIR filter; obtaining FIR filtered output, obtaining a local interval index and a local normalized coordinate of the local interval index in the spline interpolator; generating spline interpolator output; output of the control system at the current moment is collected through a sensor. The output of the spline interpolator is compared with the output of the spline interpolator; obtaining filtering errors, respectively calculating the weight of the FIR filter and the gradient of the spline interpolation point at the current moment according to the filtering error; respectively calculating the gradient momentum of the weight of the FIR filter and the gradient momentum of the spline interpolation point according to the gradient, respectively updating the weight vector of the FIRfilter and the coordinates of the spline interpolation point, and continuing to carry out the adaptive process of 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 Applications(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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