CN104569819B - A kind of fault detection method of asynchronous traction motor - Google Patents

A kind of fault detection method of asynchronous traction motor Download PDF

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CN104569819B
CN104569819B CN201510014727.XA CN201510014727A CN104569819B CN 104569819 B CN104569819 B CN 104569819B CN 201510014727 A CN201510014727 A CN 201510014727A CN 104569819 B CN104569819 B CN 104569819B
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traction motor
asynchronous traction
model
asynchronous
failure
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CN104569819A (en
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周东华
何潇
张峻峰
张海峰
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Tsinghua University
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Abstract

The invention discloses a kind of fault detection method of asynchronous traction motor, belong to fault diagnosis technology field, to cause in the case where constructed model has uncertainty, the fault detection method of the asynchronous traction motor of High Speed Railway Trains remains able to accurate detection and is out of order.The detection method of the asynchronous traction motor includes:Build model step:Build the separate manufacturing firms model of the asynchronous traction motor;Gathered data step:Gather the output current data and input voltage data of the asynchronous traction motor at current time;Failure detection steps:The state range of the asynchronous traction motor at pre-stored current time is obtained, with reference to the output current data and the input voltage data, failure is whether there is using asynchronous traction motor described in the separate manufacturing firms model inspection.The method is applied to the asynchronous traction motor of High Speed Railway Trains.

Description

A kind of fault detection method of asynchronous traction motor
Technical field
The present invention relates to fault diagnosis technology field, specifically, it is related to a kind of fault detect side of asynchronous traction motor Method.
Background technology
The Traction Drive control system of High Speed Railway Trains is one of key of High Speed Railway Trains safety work, It is one of High Speed Railway Trains failure main source occurred frequently.Wherein, the asynchronous traction motor of High Speed Railway Trains is that traction is passed Important component in autocontrol system.No matter, all may be used if there is any kind of failure in the asynchronous traction motor of High Speed Railway Trains Can cause High Speed Railway Trains that major accident occurs, cause passenger personal and society massive losses.Therefore, raising is needed badly at a high speed The safety and reliability of the asynchronous traction motor of railroad train, to ensure the safe operation of High Speed Railway Trains, reduces accident Generation.
The diagnosis of failure, detection are the core technologies of the asynchronous traction motor reliably working for ensureing High Speed Railway Trains.It is different The degree of reliability for walking the fault detect of traction electric machine depends on the order of accuarcy of constructed asynchronous traction motor model.But, Setting up high-precision asynchronous traction motor model can increase cost, and due to there is external interference, nonlinear model in actual production The factors such as Linear, Unmarried pregnancy, the uncertainty of asynchronous traction motor model is inevitable.
Therefore, in order to meet the requirement of practical application, in the case where there is uncertainty in constructed model, high-speed iron The fault detection method of the asynchronous traction motor of road train should remain able to accurate detection and be out of order.
The content of the invention
It is an object of the invention to provide a kind of fault detection method of asynchronous traction motor, to cause in constructed mould In the case that type has uncertainty, the fault detection method of the asynchronous traction motor of High Speed Railway Trains remains able to accurate inspection Measure failure.
The invention provides a kind of fault detection method of asynchronous traction motor, the method includes:
Build model step:Build the separate manufacturing firms model of the asynchronous traction motor;
Gathered data step:Gather the output current data and input voltage number of the asynchronous traction motor at current time According to;
Failure detection steps:The state range of the asynchronous traction motor at pre-stored current time is obtained, with reference to institute Output current data and the input voltage data are stated, using asynchronous traction motor described in the separate manufacturing firms model inspection With the presence or absence of failure.
Wherein, in the failure detection steps, if detecting the asynchronous traction motor in the absence of failure, methods described Also include:
Correcting range step:The state range of the asynchronous traction motor is corrected according to the output current data;
Estimation range step:State range, the separate manufacturing firms according to the asynchronous traction motor after the correction Model, predicts the state range of the asynchronous traction motor of subsequent time, and is stored.
Wherein, in the failure detection steps, if detecting the asynchronous traction motor has failure, methods described is also Including:
Estimation range step:State range, the separate manufacturing firms model according to the asynchronous traction motor, prediction The state range of the asynchronous traction motor of subsequent time, and stored.
Wherein, the structure model step is specifically included:
The continuous state space model of the asynchronous traction motor under alpha-beta coordinate system is obtained using Clarke transform;
Sliding-model control is carried out to the continuous state space model according to the sampling time, the separate manufacturing firms are obtained Model.
Wherein, the failure detection steps are specifically included:
The state range of the asynchronous traction motor at pre-stored current time is obtained, with reference to the output current data With the input voltage data, fault verification variable is calculated using the separate manufacturing firms model;
According to the fault verification variable, detect that the asynchronous traction motor whether there is failure.
Wherein, it is described according to the fault verification variable, detect that the asynchronous traction motor includes with the presence or absence of failure:
If the value of the arbitrary element in the fault verification variable is less than or equal to 0, the asynchronous traction motor is not deposited In failure;
If the value of at least one element is more than 0 in the fault verification variable, there is failure in the asynchronous traction motor.
Wherein, the separate manufacturing firms model is related to the process noise of the asynchronous traction motor, measurement noise to bring Model uncertainty.
Present invention offers following beneficial effect:In the technical scheme of the embodiment of the present invention, there is provided one kind is asynchronous to lead Draw the fault detection method of motor, the detection method uses set-member estimation thought, it is contemplated that by grass in constructed model The uncertainty come, it is simple to operate without wrong report, effectively ensure the practical application request of asynchronous traction motor fault detect.
Other features and advantages of the present invention will be illustrated in the following description, also, the partly change from specification Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by specification, rights Specifically noted structure is realized and obtained in claim and accompanying drawing.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below embodiment will be described needed for want Accompanying drawing does simple introduction:
Fig. 1~Fig. 2 is the schematic flow sheet of the fault detection method of asynchronous traction motor provided in an embodiment of the present invention;
Fig. 3 is the Detection results figure of the fault detection method of asynchronous traction motor provided in an embodiment of the present invention.
Specific embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, how the present invention is applied whereby Technological means solves technical problem, and reaches the implementation process of technique effect and can fully understand and implement according to this.Need explanation As long as not constituting conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, The technical scheme for being formed is within protection scope of the present invention.
As shown in figure 1, the embodiment of the invention provides a kind of fault detection method of asynchronous traction motor, the method bag Include:
Step S101, structure model step:Build the separate manufacturing firms model of asynchronous traction motor.
Specifically, obtaining the sequential like of the asynchronous traction motor under alpha-beta coordinate system first with Clarke (Clark) conversion State space model, the continuous state space model is as follows:
Wherein, in formula (1)It is asynchronous traction motor State, the initial span X (0) of x (t) is:X in formulac(0) it is X's (0) Central value;Xδ(0) for X (0) uncertainty, according to the continuous state space models coupling practical experience setting;For One vector, the number of the element that the vector is included is nx, nxIt is the dimension of x (t),In each element in interval [- 1,1] interior random value.
In addition, in formula (1)Represent the input voltage number of the asynchronous traction motor According to situation about changing over time,Represent the output current data of the asynchronous traction motor with The situation of time change;It is fault-signal, its piecemeal vector fAT () represents and provides The feelings for controlling the fault-signal of the actuator of the control voltage (i.e. input voltage data) of the asynchronous traction motor to change over time Condition, another piecemeal vector fST () represents the fault-signal of the sensor of the output current data for measuring the asynchronous traction motor Situation about changing over time.
The continuous state space model is related to the model that the process noise of asynchronous traction motor, measurement noise bring not know Property, thereforeIt is the model uncertainty that the process noise of the asynchronous traction motor brings,For asynchronous The model uncertainty that the measurement noise of traction electric machine is brought.
Although the actual conditions of continuous state space model not enough accurate and asynchronous traction motor are uncertain in the presence of some Property, but be not arbitrary by the error that uncertainty is brought, but it is controlled in one according to the difference of continuous state space model In fixed scope.Therefore, w (t), the v (t) in this method embodiment should respectively meet relational expression:|w(t)|m≤wδ, | v (t) |m ≤vδ, i.e., continuous state space model and practical experience according to selected by, respectively w (t), v (t) set certain scope wδ、 vδ, i.e. the value of w (t) is in (- wδ) arrive wδBetween, v (t) values are in (- vδ) arrive vδBetween.
In addition, in formula (1)That is the number of the line number of A matrixes, columns with the element of x (t) is identical, and The value of each element is any real number in A.Similar, in formula (1) In addition, in formula (1)And Ff=[0 I].Above-mentioned matrix is the ginseng of the continuous state space model of the asynchronous traction motor Matrix number.
Wherein, the concrete form of A, B and C is as follows:
Wherein, parameter iα1(t), iβ1T () is the stator current of the asynchronous traction motor;ψα2(t), ψβ2T () is rotor magnetic Chain;uα1(t), uβ1T () is stator voltage;ωrIt is rotor electric rotating angular frequency;RsIt is stator resistance;RrIt is rotor resistance;LsFor Stator inductance;LrIt is inductor rotor;LmIt is mutual inductance;σ=1-Lm 2/(LsLr)。
Then, after the continuous state space model for obtaining asynchronous traction motor, can be according to sampling time TsTo even Continuous state-space model carries out sliding-model control, obtains separate manufacturing firms model as follows:
X (k+1)=Ax (k)+Bu (k)+Eff(k)+w(k),
Y (k)=Cx (k)+Fff(k)+v(k). (2)
K in formula (2) represents current time, interval sampling time T between current time k and subsequent time k+1s
Step S102, gathered data step:Gather output current data and the input of the asynchronous traction motor at current time Voltage data.
Gather output current data y (k) and input voltage data u (k) at current time k.
Step S103, failure detection steps:Obtain the state range of the asynchronous traction motor at pre-stored current time, knot Output current data and input voltage data are closed, using separate manufacturing firms model inspection asynchronous traction motor with the presence or absence of event Barrier.
In the technical scheme of the embodiment of the present invention, because the state of the asynchronous traction motor at current time cannot direct access Obtain, thus now obtain be asynchronous traction motor according to previous moment (k-1) state range X (k-1 | k-1) prediction To and the asynchronous traction motor of current time k that prestores state range X (k | k-1).
The affiliated scope X (k | k-1) of the state x (k | k-1) according to the asynchronous traction motor, output current data y (k), Input voltage data u (k), with reference to the separate manufacturing firms model for obtaining, is calculated fault verification variable r (k)=diag (a (k))b(k)。
Wherein:
A (k)=y (k)-(Cxc(k|k-1)-|([CXδ(k|k-1) diag(vδ)])|m·1),
(3)
B (k)=y (k)-(Cxc(k|k-1)+|([CXδ(k|k-1) diag(vδ)])|m·1).
It should be noted that diag (the v in formula (3)δ) mean to build a matrix, the line number and columns of the matrix are all With array vδIn element number it is identical, and the diagonal entry of the matrix is followed successively by array vδIn each element.
In addition, in formula (3) | ([CXδ(k|k-1) diag(vδ)])|mMean there is a matrix D=[CXδ(k|k-1) diag(vδ)], | D |mIt is the matrix for obtaining afterwards that each element in D takes absolute value.
Then, according to fault verification variable, detection asynchronous traction motor includes with the presence or absence of failure:
If the value of the arbitrary element in fault verification variable is less than or equal to 0, asynchronous traction motor does not exist failure;I.e. IfSo that riK ()≤0, then current time k asynchronous traction motors fault-free, now detects indicatrix fo= 0, represent that asynchronous traction motor does not exist failure.
If the value of at least one element is more than 0 in fault verification variable, there is failure in asynchronous traction motor;EvenSo that ri(k)>0, then current time k asynchronous traction motors break down, now detect indicatrix f1= 1, represent that asynchronous traction motor has failure.
And then, if as shown in Fig. 2 detecting asynchronous traction motor in the absence of failure, method also includes:
Step S104, correcting range step:The state range of asynchronous traction motor is corrected according to output current data.
In due to failure detection steps before, the state range of the asynchronous traction motor of accessed current time k It is to be predicted using the state range of previous moment (k-1), without the information using current time k, the shape that the prediction is obtained State scope X (k | k-1) it is bigger than normal, there is deviation with actual conditions.Therefore in the present embodiment, need to be according to output current data y (k) school Just, reduce the state range X (k | k-1) of the asynchronous traction motor, with obtain belonging to current time k, it is more accurately asynchronous The affiliated scope X (k | k) of the state x (k | k) of traction electric machine.
The concrete implementation process of step S104 is:
According to knowable to above, have:
In addition, for x (k | k), it should meet following scope:
Composite type (4) and formula (5), it is known thatWithSo that
X (k | k)=xc(k|k-1)+Xδ(k|k-1)s (6)
With
Cx (k | k)-y (k)=diag (vδ)α. (7)
Formula (6) is substituted into formula (7) can obtain:
C(xc(k|k-1)+Xδ(k | k-1) s)-y (k)=diag (vδ)α, (8)
CXδ(k | k-1) s=y (k)-Cxc(k|k-1)+diag(vδ)α.
Identical entry LCX is added and subtracted simultaneously on formula (6) the rightδ(k | k-1) s can be obtained:
X (k | k)=xc(k|k-1)+LCXδ(k|k-1)s+(I-LC)Xδ(k|k-1)s. (9)
Formula (8) is substituted into formula (9) can obtain:
In this way, current time k, more accurately state range X (k | k) can be obtained belonging to.
Step S105, estimation range step:State range, separate manufacturing firms according to the asynchronous traction motor after correction Model, predicts the state range of the asynchronous traction motor of subsequent time, and is stored.
In the present embodiment according to belonging to k moment bullet train asynchronous traction motor system modes x (k | k) scope X (k | k) and Bullet train asynchronous traction motor system separate manufacturing firms model carries out one-step prediction, estimates that subsequent time bullet train is asynchronous Scope X belonging to traction electric machine system mode x (k+1 | k) (k+1 | k).
Due to x (k | k) ∈ X (k | k), thenWithSo that
X (k | k)=xc(k|k)+Xδ(k|k)ξ. (10)
Have:
In formula (11), have:
xc(k+1 | k)=Axc(k|k)+Bu(k),
Xδ(k+1 | k)=[AXδ(k|k) diag(wδ)]. (12)
Afterwards, when subsequent time (k+1) arrives, return and perform step S102, continuation carries out event to the asynchronous traction motor Barrier detection.
In addition, if detecting asynchronous traction motor has failure, then direct perform prediction scope step.Because if according to Often according to output current data y (k) correction, the state range X (k | k-1) of the asynchronous traction motor is reduced, after correction will be caused Asynchronous traction motor state range X (k | k) it is wrong, including having faulty state range, the event at each moment after influence Barrier testing result.
Due to being now not required to that the state range of current time k is corrected, then estimation range step may particularly include:Root According to the state range of asynchronous traction motor, separate manufacturing firms model, the shape of the asynchronous traction motor of prediction subsequent time (k+1) State scope, and stored.Detailed process with it is similar above, will not be repeated here.
If the A phase currents sensor of asynchronous traction motor there occurs the permanent deviation that amplitude is 0.2449 at the k=501 moment Failure, then it is as shown in Figure 3 that the method for being provided using the present invention can obtain failure detection result.I.e. at the k=501 moment, due to asynchronous Traction electric machine there occurs failure, and the detection indicatrix at this moment is changed into 1 from 0 original moment.
To sum up, in the technical scheme of the embodiment of the present invention, there is provided a kind of fault detection method of asynchronous traction motor, The detection method uses set-member estimation thought, it is contemplated that the uncertainty come by grass in constructed model, without wrong report, behaviour Make simple, effectively ensured the practical application request of asynchronous traction motor fault detect.
While it is disclosed that implementation method as above, but described content is only to facilitate understanding the present invention and adopting Implementation method, is not limited to the present invention.Any those skilled in the art to which this invention pertains, are not departing from this On the premise of the disclosed spirit and scope of invention, any modification and change can be made in the formal and details implemented, But scope of patent protection of the invention, must be still defined by the scope of which is defined in the appended claims.

Claims (6)

1. a kind of fault detection method of asynchronous traction motor, it is characterised in that including:
Build model step:Build the separate manufacturing firms model of the asynchronous traction motor;
Gathered data step:Gather the output current data and input voltage data of the asynchronous traction motor at current time;
Failure detection steps:The state range of the asynchronous traction motor at pre-stored current time is obtained, with reference to described defeated Go out current data and the input voltage data, using asynchronous traction motor described in the separate manufacturing firms model inspection whether There is failure,
Wherein, in the failure detection steps, if detecting the asynchronous traction motor in the absence of failure, methods described is also wrapped Include:
Correcting range step:The state range of the asynchronous traction motor is corrected according to the output current data;
Estimation range step:State range, the separate manufacturing firms model according to the asynchronous traction motor after the correction, The state range of the asynchronous traction motor of subsequent time is predicted, and is stored.
2. method according to claim 1, it is characterised in that in the failure detection steps, if detecting described different There is failure in step traction electric machine, methods described also includes:
Estimation range step:State range, the separate manufacturing firms model according to the asynchronous traction motor, predict next The state range of the asynchronous traction motor at moment, and stored.
3. method according to claim 1, it is characterised in that the structure model step is specifically included:
The continuous state space model of the asynchronous traction motor under alpha-beta coordinate system is obtained using Clarke transform;
Sliding-model control is carried out to the continuous state space model according to the sampling time, the separate manufacturing firms mould is obtained Type.
4. method according to claim 1, it is characterised in that the failure detection steps are specifically included:
The state range of the asynchronous traction motor at pre-stored current time is obtained, with reference to the output current data and institute Input voltage data are stated, fault verification variable is calculated using the separate manufacturing firms model;
According to the fault verification variable, detect that the asynchronous traction motor whether there is failure.
5. method according to claim 4, it is characterised in that described according to the fault verification variable, detects described different Step traction electric machine includes with the presence or absence of failure:
If the value of the arbitrary element in the fault verification variable is less than or equal to 0, the asynchronous traction motor is in the absence of event Barrier;
If the value of at least one element is more than 0 in the fault verification variable, there is failure in the asynchronous traction motor.
6. method according to claim 1, it is characterised in that the separate manufacturing firms model is related to the asynchronous traction The model uncertainty that the process noise of motor, measurement noise are brought.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2763849C1 (en) * 2021-05-26 2022-01-11 федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский Томский политехнический университет» Device for condition diagnosis of asynchronous electric motor

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109747680B (en) * 2017-11-03 2021-04-02 株洲中车时代电气股份有限公司 Method, device and equipment for state evaluation and fault early warning of train traction system
CN110276509A (en) * 2019-03-05 2019-09-24 清华大学 Subway train trailer system dynamic risk analysis appraisal procedure based on characteristic quantity
CN113536830A (en) * 2020-04-13 2021-10-22 中车唐山机车车辆有限公司 Traction motor rotor broken bar fault diagnosis method and equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0779595A (en) * 1993-08-12 1995-03-20 Johnson Service Co Method and circuit device for establishing operational state of dtrect drive type multi-speed motor
CN1233325A (en) * 1996-06-24 1999-10-27 阿塞里克有限公司 Model-based fault detection system for electric motors
JP4815391B2 (en) * 2007-05-15 2011-11-16 株式会社神戸製鋼所 Model parameter estimation calculation apparatus and method, model parameter estimation calculation processing program, and recording medium recording the same
CN103984242A (en) * 2014-05-19 2014-08-13 上海交通大学 Layering predictive control system and method based on model predictive control

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0779595A (en) * 1993-08-12 1995-03-20 Johnson Service Co Method and circuit device for establishing operational state of dtrect drive type multi-speed motor
CN1233325A (en) * 1996-06-24 1999-10-27 阿塞里克有限公司 Model-based fault detection system for electric motors
JP4815391B2 (en) * 2007-05-15 2011-11-16 株式会社神戸製鋼所 Model parameter estimation calculation apparatus and method, model parameter estimation calculation processing program, and recording medium recording the same
CN103984242A (en) * 2014-05-19 2014-08-13 上海交通大学 Layering predictive control system and method based on model predictive control

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于EKF算法的交流永磁无刷同步电机参数辨识;孙频东 等;《电气传动和自动控制》;20081231;第30卷(第3期);第17-20页 *
异步电机模型预测电流控制技术研究;张亚林;《中国优秀硕士学位论文全文数据库·工程科技Ⅱ辑》;20130715(第07期);正文第14-15页 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2763849C1 (en) * 2021-05-26 2022-01-11 федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский Томский политехнический университет» Device for condition diagnosis of asynchronous electric motor

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