Particle filter steering engine state prediction method based on improved weight generation mode

A particle filter and prediction method technology, applied in instruments, adaptive control, control/regulation systems, etc., can solve the problems that affect particle filter estimation performance, accumulate errors, and be difficult to form, and achieve small algorithm scale, effective prediction, Effects that are easy to engineer

Pending Publication Date: 2018-11-13
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

For the observation value reconstruction method, the research is mainly focused on the uncertainty propagation of the data-driven prediction method, because the error of the reconstruction measurement value will greatly affect the estimation performance of the particle filter itself, especially when it comes to different properties When the noise term of , it is difficult to

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  • Particle filter steering engine state prediction method based on improved weight generation mode
  • Particle filter steering engine state prediction method based on improved weight generation mode
  • Particle filter steering engine state prediction method based on improved weight generation mode

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Embodiment Construction

[0055] The particle filter steering gear state prediction method based on the improved weight generation method provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0056] like figure 2 As shown, the F distribution particle filter method based on the improved weight generation method provided by the present invention includes the following steps in order:

[0057] (1) F distribution particle filter prediction framework

[0058] like image 3 As shown, the design method of the above-mentioned F-distribution particle filter prediction framework is:

[0059] In order to better describe the change of the model over time, the nonlinear discrete dynamic system model with time-varying parameters is expressed as

[0060] x k =f(x k-1 ,θ k )+v k-1 (1)

[0061] z k =h(x k )+s k (2)

[0062] in Expressed as a time-varying parameter vector, this parameter will gradually change during ...

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Abstract

The invention relates to a particle filter steering engine state prediction method based on an improved weight generation mode. The particle filter steering engine state prediction method based on animproved weight generation mode includes the following steps: 1) F distribution particle filter prediction framework; 2) F kernel construction; and 3) dynamic screening process. The particle filter steering engine state prediction method based on an improved weight generation mode has the advantages that 1) even if the newest current measurement value set does not conform to the normal system development trend and the obtained current particle set at the same time is not in the correct area, the predicted system state can be used for alleviating uncertainty caused by measurement of noise amount through correction of the weight; and 2) compared with a traditional particle filter method, the particle filter steering engine state prediction method based on an improved weight generation mode can obtain better fault prediction accuracy.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and health management (PHM), in particular to a particle filter-based steering gear state prediction method. Background technique [0002] In the automatic flight control system, the electro-hydraulic combined steering gear is used as the core executive component to drive the three main control surfaces of the elevator, aileron, and rudder, as well as the auxiliary rudder surfaces such as flaps, slats, and trims. As the actuator, the performance and reliability of the steering gear directly affect the performance and reliability of the automatic flight system and even the entire aircraft. With the development of automatic flight technology, the steering gear system has gradually become the focus of current research. [0003] At present, the research on linear dynamic system has formed a relatively mature system both in theory and practical application, and the electro-hydraulic combined s...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 郭润夏王佳琦金彦成王银刚甘泉
Owner CIVIL AVIATION UNIV OF CHINA
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