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Fault estimation method under sensor network environment and based on Green space theory

A sensor network and sensor fault technology, applied in the direction of instrumentation, comprehensive factory control, comprehensive factory control, etc., can solve the problems that fault estimation methods cannot deal with sensor node coupling, affect the performance of fault estimation of sensor network systems, etc.

Inactive Publication Date: 2015-06-17
DONGHUA UNIV
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Problems solved by technology

[0003] The existing fault estimation methods cannot deal with the coupling between sensor nodes in the sensor network environment, which affects the overall fault estimation performance of the sensor network system.

Method used

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  • Fault estimation method under sensor network environment and based on Green space theory
  • Fault estimation method under sensor network environment and based on Green space theory
  • Fault estimation method under sensor network environment and based on Green space theory

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Embodiment Construction

[0051] In order to make the present invention more comprehensible, a preferred embodiment is described in detail below with accompanying drawings.

[0052] figure 1 The flow chart of the fault estimation method based on Green space theory under the sensor network environment provided by the present invention, the specific steps of the method are:

[0053] Step 1: Build a dynamic model of the time-varying system with actuator and sensor faults;

[0054] A dynamic model of a time-varying system with actuator and sensor faults is established in the state-space form:

[0055] x(k+1)=A(k)x(k)+B d (k)d(k)+B f (k)f(k), x(0)=x 0 (1)

[0056] the y i (k)=C i (k)x(k)+D i，f (k)f(k)+v i (k), i=1, 2, . . . , M (2)

[0057]In formula (1) and formula (2), x(k) is the state vector at time k; d(k) is the external disturbance at time k; f(k) is the error to be estimated at time k; y i (k) is the measurement output received by sensor node i from the system at time k; v i (k) is t...

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Abstract

The invention provides a fault estimation method under a sensor network environment and based on the Green space theory. The method includes the following steps that a dynamic model of a time-varying system with actuator and sensor faults is established; various sensors and measurement output adjacent to the sensors are synthesized; distributed fault estimation is conducted on the dynamic model; the existence judgment conditions of fault estimators on nodes are acquired through the linear estimation theory of Green space; if the existence conditions are satisfied, estimator parameter matrixes on the nodes are acquired through the update analysis and projection theorem in the Green space; the estimator parameter matrixes are substituted into a distributed fault estimation formula, and distributed fault estimation of the time-varying system with the actuator and sensor faults is conducted under the sensor network environment. The method can effectively solve the coupling problem between the sensor nodes under the sensor network environment and achieve the purposes of a small conservative property and high estimation accuracy.

Description

technical field [0001] The invention relates to a distributed fault estimation method based on Green space theory in a sensor network environment, and belongs to the technical field of control methods. Background technique [0002] Fault estimation is an important research problem in control systems, and has been widely used in fault detection tasks in the fields of rail transit vehicles, wind power generation systems, and track health status identification. [0003] The existing fault estimation methods cannot deal with the coupling between sensor nodes in the sensor network environment, which affects the overall fault estimation performance of the sensor network system. Contents of the invention [0004] The technical problem to be solved by the present invention is how to deal with the coupling between the sensor nodes in the sensor network environment, so as to ensure the overall fault estimation performance of the sensor network system. [0005] In order to solve the...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41855G05B19/41885
Inventor 沈波王子栋舒慧生董宏丽李楠胡军张似晶
Owner DONGHUA UNIV
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