Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Fault Detection, Diagnosis and Performance Evaluation Method for Redundancy Aileron Actuator

A fault detection and actuator technology, applied in the field of diagnosis and performance evaluation, and fault detection of redundant aileron actuators, can solve problems such as difficulty in fault detection and large disturbance in fault detection, so as to improve engineering practicability and accuracy. rate and achieve the effect of fault detection

Active Publication Date: 2016-11-16
北京恒兴易康科技有限公司
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the following problems: under the condition of redundancy, due to the correction and compensation of the output of the fault channel by the remaining channels, the problem of difficult fault detection is caused; The problem of large disturbance in fault detection under multi-working conditions caused by the impact; when the redundant aileron actuator fails, the problem of fault location and fault type determination; in order to support the condition-based maintenance of the actuator, the redundant aileron Actuator Performance Evaluation Issues

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Fault Detection, Diagnosis and Performance Evaluation Method for Redundancy Aileron Actuator
  • A Fault Detection, Diagnosis and Performance Evaluation Method for Redundancy Aileron Actuator
  • A Fault Detection, Diagnosis and Performance Evaluation Method for Redundancy Aileron Actuator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0115] In this embodiment, the simulation data of the redundant aileron actuator is used for verification. Here, the redundancy of the aileron actuator is four degrees.

[0116] The four-degree redundant aileron actuator includes four control channels, each of which is composed of a proportional-integral-derivative (PID) controller, an electronic amplifier, a sensor, and a force motor coil. In addition, the actuator also includes mechanical hydraulic parts, namely servo valves, actuators, such as Figure 9 shown.

[0117] The simulation model of the four-degree redundant aileron actuator is established by using MATLAB SIMULINK and AMESIM. Among them, the control part of the actuator is established in SIMULINK, such as Figure 10 shown; the mechanical hydraulic part of the actuator is established in AMESIM, such as Figure 11 shown. The two are connected through the S function in SIMULINK.

[0118] The physical parameters of each component of the aileron actuator are show...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fault detection, diagnosis and performance evaluation method for a redundant aileron actuator. According to the method, fault detection, diagnosis, evaluation and real-time detection of the actuator are performed by means of an input order signal, an output displacement signal, a force motor current signal and aerodynamic loading data of the actuator; the fault detection is realized by a two-stage neural network, a first neural network is used as a system observer and is matched with actual output to acquire a residual error, and a second neural network outputs a self-adaptive threshold value synchronously; the fault detection is realized by the system observer and a force motor current observer; a time domain feature is extracted from a residual error signal and output to a self-organizing mapping neural network, and a minimum quantization error is acquired and normalized to a health degree, so that the actuator performance is evaluated; and on the basis of fault detection, the aerodynamic loading data is introduced, by means of a specific input order spectrum, the system observer and the neural network with the self-adaptive threshold value are trained, and the real-time fault detection is realized.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of a hydraulic servo system, in particular to a method for fault detection, diagnosis and performance evaluation of a redundant aileron actuator based on a neural network. Background technique [0002] Aircraft aileron actuator is an important part of aircraft flight control system. Fault detection and fault diagnosis of aileron actuator is one of the important means to improve the reliability and safety of aircraft flight control system. For some common faults of aileron actuators, such as sensor faults, force motor faults, and leakage faults, early detection and treatment can improve the use efficiency of the aircraft and effectively improve the safety of the flight control system. Therefore, it is necessary to carry out fault detection and fault diagnosis for redundant aileron actuators. At the same time, in recent years, in order to overcome the contradiction between "under-maintenan...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00F15B19/00
Inventor 吕琛袁航陈子涵夏立群王可
Owner 北京恒兴易康科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products