Parametrization of optimal fault detection filters

نویسندگان

  • Xiaobo Li
  • Hugh H. T. Liu
  • Bin Jiang
چکیده

This paper is concerned with the fault detection filter design problem for linear time-invariant systems subject to disturbance and possible faults. To make a tradeoff between fault sensitivity and disturbance sensitivity, frameworks such as H−/H∞, H2/H∞, and H∞/H∞ are considered. It is shown that for H−/H∞ and H∞/H∞ frameworks, all optimal fault detection filters can be characterized by an envelope besieged by the special solutions serving as upper and lower bounds. Furthermore, the explicit parametrization is given in terms of a free contractive system/parameter. This free parameter provides freedom to emphasize fault and disturbance sensitivities at different frequency ranges, which can be used to construct newoptimal fault detection filter. The results are also extended to the optimization over finite frequency range, for which the upper and/or lower bound of the optimal solution set may not be rational. On the other hand, it is shown that the solution set of H2/H∞ problem is unique up to square inner system. Finally, examples are given to illustrate the results. © 2014 Elsevier Ltd. All rights reserved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A fault detection method for pitch actuators faults in wind turbines

The paper presents a model-based fault detection method for pitch actuators faults using the normalized gradient method to estimate the parameters of the pitch actuator. One major difficulty is that the input signal to the parametric estimation method must be a persistent excitation. To circumvent this, a chattering term is added to the pitch control law and the usual low-pass filters are not u...

متن کامل

Optimal Rotor Fault Detection in Induction Motor Using Particle-Swarm Optimization Optimized Neural Network

This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...

متن کامل

An optimal solution to an H−/H∞ fault detection problem

In this contribution, we derive an optimal solution to an H−/H∞ fault detection (FD) problem for linear timeinvariant systems. Firstly, a novel H∞-based performance index is formulated to minimize the relative sensitivity of the residual to disturbances with respect to the sensitivity to faults. Then a class of optimal filters for the H−/H∞ FD problem is obtained by solving a Linear Matrix Ineq...

متن کامل

The Control Parametrization Enhancing Technique for Multi-Objective Optimal Control of HIV Dynamic

In this paper‎, ‎a computational approach is adopted for solving a multi-objective optimal control problem (MOOCP) formulation of optimal drug scheduling in human immunodeficiency (HIV) virus infected by individuals‎. ‎The MOOCP‎, ‎which uses a mathematical model of HIV infection‎, ‎has some incompatible objectives‎. ‎The objectives are maximizing the survival time of patients‎, ‎the level of D...

متن کامل

Edge detection in gravity field of the Gheshm sedimentary basin

Edge detection and edge enhancement techniques play an essential role in interpreting potential field data. This paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. The edge detection methods comprise analytic signal, total horizontal derivative (THDR), theta angle, tilt angle, hyperbolic of tilt angle (H...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Automatica

دوره 56  شماره 

صفحات  -

تاریخ انتشار 2015