CN114531090A - Motor starting locked-rotor judgment method based on grey correlation algorithm - Google Patents

Motor starting locked-rotor judgment method based on grey correlation algorithm Download PDF

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CN114531090A
CN114531090A CN202210131486.7A CN202210131486A CN114531090A CN 114531090 A CN114531090 A CN 114531090A CN 202210131486 A CN202210131486 A CN 202210131486A CN 114531090 A CN114531090 A CN 114531090A
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motor
rotor
locked
soft start
current
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李峰平
彭志辉
黄继宝
冮建华
黄波
杨凯博
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Agco Intelligent Technology Zhejiang Co ltd
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Agco Intelligent Technology Zhejiang Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
    • H02P29/02—Providing protection against overload without automatic interruption of supply
    • H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
    • H02P29/02—Providing protection against overload without automatic interruption of supply
    • H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
    • H02P29/027—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load the fault being an over-current
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P29/00—Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors
    • H02P29/02—Providing protection against overload without automatic interruption of supply
    • H02P29/024—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load
    • H02P29/028—Detecting a fault condition, e.g. short circuit, locked rotor, open circuit or loss of load the motor continuing operation despite the fault condition, e.g. eliminating, compensating for or remedying the fault
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/64—Electric machine technologies in electromobility

Abstract

The invention discloses a motor starting locked rotor judging method based on a grey correlation algorithm. The motor starting locked-rotor judging method provided by the invention takes the current sequence in the specific time window of normal soft start when the motor running condition changes as the reference sequence, and can effectively improve the capability of the algorithm in adapting to different working condition environments and inhibiting parameter drift caused by motor aging.

Description

Motor starting locked-rotor judgment method based on grey correlation algorithm
Technical Field
The invention relates to the technical field of motors, in particular to a motor starting locked-rotor judging method based on a grey correlation algorithm.
Background
The motor is widely used in various industries such as various machine tools, electric automobiles, high-speed rail locomotives, factory power equipment, water supply and drainage equipment, elevators, electric fans, air conditioners and the like as a power source. Due to the complex working conditions and imperfect protection measures of the motor, the motor rotor is often locked, for example, a transmission mechanism on the motor rotor is locked or a speed change gear is locked due to foreign matters or faults, an elevator transmission chain is locked, a belt of a transmission device is locked, a fluid medium of a water pump is frozen or silt is locked. Once the stalling occurs, the current of the motor rises sharply, which is far larger than the rated working current and even can reach dozens of times of the rated current. Huge electric current leads to motor consumption sharply to increase, and the inside temperature of motor rises fast, and motor coil insulated paint damages, leads to the inside short circuit of motor, and the electric current of the motor of further increase can arouse the conflagration even when serious. At present, the locked rotor detection technology provided in the existing literature generally adopts schemes of detecting the rotating speed of a motor, the counter electromotive force of the motor, the internal temperature of the motor, the current of the motor and the like. The locked rotor scheme is detected by adopting the rotating speed of the motor and the internal temperature of the motor, and a detection element needs to be added in the motor or on a rotating shaft, so that the structure of the motor is complex, the design and the manufacturing process of the whole motor are influenced, and the cost and the complexity are increased. The locked rotor is detected by adopting a counter electromotive force scheme, and on one hand, the rotating speed is calculated by an accurate and reliable mathematical model through the counter electromotive force; on the other hand, when the rotating speed is low, the value of the back electromotive force is small, the signal to noise ratio of the sampled data is not high, the sampled data is easily interfered by noise, a complex signal processing method is needed, and therefore a software algorithm is complex and the cost is high. The current detection locked rotor is adopted, and the locked rotor is widely used without changing the structure due to the aspect of data acquisition. However, in the existing scheme, the current peak value is often detected to judge whether the locked rotor occurs, and the locked rotor is compared with a motor locked rotor current reference value obtained by testing before leaving a factory, so as to judge whether the water pump has the start locked rotor. The scheme mainly has the following problems: firstly, locked-rotor current drift is caused by motor aging, difference of working environments and the like; and secondly, the judgment is only carried out by depending on the starting current peak value single-point parameter, so that misjudgment and failure can be caused, and the reliability, robustness and interference suppression capability of the judgment are reduced.
Disclosure of Invention
The invention aims to provide a motor starting locked-rotor judging method based on a grey correlation algorithm. The invention has the advantages of accurate judgment, simple structure and low cost.
The technical scheme of the invention is as follows: a motor starting locked-rotor judging method based on a grey correlation algorithm comprises the following steps:
step one, when the motor is normally soft started, sampling period T is usedsFor interval pair motor current effective value
Figure BDA0003502809220000021
Sampling, and carrying out dimensionless processing on the sampled data to obtain a normalized reference sequence
Figure BDA0003502809220000022
Step two, when the motor is started to rotate and block, the sampling period T is usedsIs an interval pair motor current effective value Isoft(t) sampling, and carrying out dimensionless processing on the sampling data to obtain a normalized reference sequence
Figure BDA0003502809220000023
Step three, mixing
Figure BDA0003502809220000024
As a comparison sequence, a sequence is selected,
Figure BDA0003502809220000025
as a reference sequenceColumn, get the error sequence { Δ }0(m)}m＝1,2,…,NWherein:
Figure BDA0003502809220000031
step four, calculating the correlation coefficient
Figure BDA0003502809220000032
Wherein, the second-stage minimum difference Δ (min) is 0, the second-stage maximum difference Δ (max) is 1, and the resolution coefficient γ is 0.5;
step five, calculating the association degree r:
Figure BDA0003502809220000033
and step six, judging whether the association degree r is greater than or equal to 0.8, and if not, determining that the motor starts the locked rotor fault.
In the motor start-up locked-rotor judgment method based on the grey correlation algorithm, the sampling process in the first step is to determine the effective value of the motor current
Figure BDA0003502809220000034
At the moment of occurrence of the maximum value of
Figure BDA0003502809220000035
Obtaining
Figure BDA0003502809220000036
Current effective value data in time, forming a sequence
Figure BDA0003502809220000037
Wherein:
Figure BDA0003502809220000038
in the motor starting locked-rotor judging method based on the gray correlation algorithm, the sampling process in the second step is to determine the effective value I of the motor currentsoft(t) time of occurrence of maximum value
Figure BDA0003502809220000039
Obtaining
Figure BDA00035028092200000310
Current effective value data in time form a sequence { Isoft(m)}m＝1,2,…,NWherein:
Figure BDA00035028092200000311
in the motor starting locked-rotor judgment method based on the grey correlation algorithm, before the third step, judgment is performed first
Figure BDA00035028092200000312
And
Figure BDA00035028092200000313
if not, the motor starting locked-rotor fault is determined.
According to the motor starting locked-rotor judging method based on the grey correlation algorithm, when the motor is normally and softly started, whether the running working condition of the motor changes or not is judged, sampling work is executed after the motor is confirmed not to be in abnormal conditions such as locked-rotor and other overload conditions, the controller accesses the soft-start impedance into the power line of the motor, and the motor starts to be softly started.
According to the motor starting locked-rotor judging method based on the grey correlation algorithm, when the motor starting locked-rotor detection is carried out, the soft starting impedance is firstly connected into a motor power line, and the current is always in a safe range during locked-rotor.
In the sixth step of the motor start locked-rotor judging method based on the gray correlation algorithm, whether the correlation degree r is greater than or equal to 0.8 is judged, if yes, the motor is in a normal soft start state, whether soft start timing is finished is judged, if yes, a controller shorts soft start impedance on a power line of the motor, and the water pump enters a normal working program; otherwise, wait.
Compared with the prior art, the method and the device have the advantages that the current sequence in the specific time window of the soft start of the motor is detected, the grey correlation degree analysis is carried out on the current sequence and the reference current sequence in the specific time window of the normal soft start, and whether the locked rotor fault exists in the motor is judged according to the obtained correlation degree. The motor starting locked-rotor judging method provided by the invention takes the current sequence in the specific time window of normal soft start when the motor running condition changes as the reference sequence, and can effectively improve the capability of the algorithm in adapting to different working condition environments and inhibiting parameter drift caused by motor aging. The hardware structure of the invention is simple, only the current data is sampled and analyzed, and the cost is low. In addition, the invention increases soft start impedance to effectively limit the start current, ensures that the current is always in a safe range during locked rotor, and ensures that the motor is safe and reliable; the method and the device obtain the relevance degree in the soft start current window time as a judgment basis, effectively reduce misjudgment while having a simple algorithm, and improve the reliability and robustness of diagnosis and the capability of inhibiting interference. The invention obtains the soft start current of the motor when the working condition changes (such as the working environment changes, the motor ages, and the like) as the reference of locked-rotor detection, and can be self-adaptive to the locked-rotor current drift caused by the motor condition and parameter changes.
Drawings
FIG. 1 is a schematic diagram of a motor soft start circuit;
FIG. 2 is a graph of normal soft start current and speed time;
fig. 3 is a graph of soft-start current and speed time for a locked rotor fault.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not to be construed as limiting the invention.
Example (b): a motor starting locked rotor judging method based on a grey correlation algorithm comprises a motor normal soft start current obtaining algorithm and a motor starting locked rotor detecting algorithm, wherein the motor normal soft start current obtaining algorithm comprises the following steps:
(1) determine whether the operating condition of the motor has changed (e.g., operating environment changes and motor operating time is too long, resulting in aging, etc.)? If yes, entering the step (2); otherwise, a new reference sequence is not required to be set, and the program exits;
(2) after confirming that the motor is not in abnormal conditions such as locked rotor and other overload conditions, manually pressing a normal soft start current sequence acquisition mode key, executing a soft start current sequence acquisition program, and entering the step (3);
(3) the controller connects the soft start impedance to the power line of the motor, and the motor starts soft start. Simultaneously with a sampling period TsStarting the interval for the effective value of the motor current
Figure BDA0003502809220000051
Sampling is carried out;
(4) determining
Figure BDA0003502809220000052
Maximum value of
Figure BDA0003502809220000053
And the moment of their appearance
Figure BDA0003502809220000054
(5) Obtaining
Figure BDA0003502809220000055
Current effective value data in time, forming a sequence
Figure BDA0003502809220000056
Wherein:
Figure BDA0003502809220000057
to pair
Figure BDA0003502809220000058
Obtaining a normalized reference sequence by dimensionless processing
Figure BDA0003502809220000059
Wherein:
Figure BDA00035028092200000510
(6) will be provided with
Figure BDA0003502809220000061
And
Figure BDA0003502809220000062
storing the motor starting locked rotor in a memory as a reference of a motor starting locked rotor judgment algorithm;
(7) the system displays that the soft start current reference sequence is successfully updated and stops;
(8) the program exits;
the motor starting locked-rotor judging algorithm comprises the following steps:
(1) entering a motor starting locked-rotor judging program;
(2) the controller connects the soft start impedance to the power line of the motor, and the motor starts soft start. Simultaneously with a sampling period TsEffective value of motor current for interval startsoft(t) sampling.
(3) Defining, the second-stage minimum difference Δ (min) is 0, the second-stage maximum difference Δ (max) is 1, and the resolution coefficient γ is 0.5;
(4) obtaining IsoftMaximum value of (t)
Figure BDA0003502809220000063
And the time of occurrence
Figure BDA0003502809220000064
(5) Obtaining
Figure BDA0003502809220000065
Current effective value data in time form a sequence { Isoft(m)}m＝1,2,…,NWherein:
Figure BDA0003502809220000066
to { Isoft(m)}m＝1,2,…,NCarrying out dimensionless processing to obtain a normalized sequence
Figure BDA0003502809220000067
Wherein:
Figure BDA0003502809220000068
(6) judgment of
Figure BDA0003502809220000069
And
Figure BDA00035028092200000610
(where η, δ are set thresholds, e.g., 0.1, 0.2)? If yes, entering the step (7); otherwise, entering the step (13);
(7) will be provided with
Figure BDA00035028092200000611
As a comparison sequence, a sequence of the sequence,
Figure BDA00035028092200000612
as a reference sequence, an error sequence { Δ is obtained0(m)}m＝1,2,…,N. Wherein:
Figure BDA00035028092200000613
(8) calculating the correlation coefficient
Figure BDA00035028092200000614
(9) Calculating the relevance r:
Figure BDA0003502809220000071
(10) determine if r ≧ 0.8 is true? If yes, entering the step (11); otherwise, entering step (13);
(11) is the motor in a normal soft start state, does the soft start timing end? If yes, entering the step (12); otherwise, waiting;
(12) the controller shorts out the soft start impedance on the power line of the motor, the water pump enters a normal working procedure, and the step (14) is carried out;
(13) the controller cuts off the power supply of the motor, alarms the motor failure and enters the step (14);
(14) the locked rotor detection program exits.
To enter intoThe technical scheme of the invention is explained, and the working principle of the soft start circuit of the motor is shown in figure 1 as follows: when the system is in a standby state during power-on, both output ports Out1 and Out2 are at a low level. The controller detects the state of the keys in real time through a keyboard scanning program, and after the key is pressed in S1, the controller executes a normal soft start current acquisition algorithm. At this time, the controller enables the soft start timer to run for setting the soft start time. Meanwhile, the output port Out1 of the controller is at a high level, the coil KM1 is electrified, the three-phase contact of KM1 is closed, and 380V three-phase alternating current is connected to the motor. Because Out2 is low level, the KM2 contact keeps an open state, the three-phase soft start impedance Z is connected in series on a power line, and the motor is in a soft start state. The controller acquires the time-varying relation of the current at the soft start stage by sampling the value of the current effective value detection circuit in real time through AD (analog-to-digital)
Figure BDA0003502809220000072
Until the soft start timing is over. By applying current to the soft start phase
Figure BDA0003502809220000073
Analysis of, obtaining
Figure BDA0003502809220000074
Moment of occurrence of peak
Figure BDA0003502809220000075
And window time
Figure BDA0003502809220000076
Inner part
Figure BDA0003502809220000077
Normalized reference sequence of
Figure BDA0003502809220000078
And the reference value is used as a reference value for motor starting locked rotor identification and is stored in a memory of the processor. The reference value of the foundation
Figure BDA0003502809220000081
Under the existing conditions, after the controller finds that S2 is pressed through a keyboard scanning program, the controller executes a motor starting locked rotor detection algorithm. The controller enables the soft start timer to run. Meanwhile, the output port Out1 of the controller is at a high level, the coil KM1 is electrified, the three-phase contact of the coil KM1 is closed, and 380V three-phase alternating current is connected to the water pump. Because Out2 is low level, the KM2 contact keeps an open state, three-phase soft start impedance Z is connected in series on a power line, and the motor is in a soft start state. The controller samples the output value I of the current effective value detection circuit in real time through ADsoft(t) obtaining Isoft(t) time of occurrence of maximum value
Figure BDA0003502809220000082
Calculating window time
Figure BDA0003502809220000083
Inner Isoft(t) normalized reference sequence
Figure BDA0003502809220000084
Further calculating the correlation coefficient
Figure BDA0003502809220000085
And degree of association
Figure BDA0003502809220000086
And identifying whether the motor runs in a starting locked rotor fault state or not by judging whether the association degree r is greater than or equal to 0.8 or not. When the current is not satisfied, the motor is considered to be in a starting locked-rotor fault, the output port Out1 of the controller is at a low level, the coil of the KM1 is powered off, the three-phase contact of the KM1 is disconnected, and the motor is stopped and the locked-rotor fault is alarmed. Otherwise, the motor is in a normal starting state, and the state of the motor is continued until the soft start timing is finished. Once the soft start is finished, the output port Out2 of the controller is at a high level, the coil KM2 is electrified, the three-phase contact of KM2 is closed, and the soft start state is finished to enter a full-voltage normal operation state. Thirdly, no matter the controller executes the normal soft-start current acquisition algorithm or the motor start locked rotor detection algorithm, if the controller finds that the S3 is pressed down, Out1 andout2 is low and stops immediately.
FIG. 2 is a graph showing the normal soft-start current and the time variation of the rotation speed, wherein the relevant parameters are described as follows:
Figure BDA0003502809220000087
is a curve of the normal soft start motor current with the time t,
Figure BDA0003502809220000088
Is a curve of the normal soft start motor rotating speed with the time t,
Figure BDA0003502809220000089
Is composed of
Figure BDA00035028092200000810
Reaches the maximum value
Figure BDA0003502809220000091
Corresponding time, INRated current value of motor, NTsObserving window time for soft start data, N being the number of sampled data within the window time, TsIs a sampling period,
Figure BDA0003502809220000092
Is the soft start end time.
When the soft start is normal, the conditions of locked rotor and the like can not occur under the working condition of the motor. When the soft start is started, the soft start current rises from zero to high speed due to the small electromagnetic inertia of the motor circuit
Figure BDA0003502809220000093
But can be controlled due to the current limiting function of the soft start impedance connected in series on the power line of the motor
Figure BDA0003502809220000094
Is of a size satisfying
Figure BDA0003502809220000095
Wherein: alpha is a number greater than zeroThe volume value can be determined from the actual situation. By controlling the value of alpha, the synthetic starting torque of the motor can be ensured not to be too large or too small, and the normal soft start operation of the motor at certain acceleration is realized. In addition, the mechanical rotation inertia of the motor is far greater than the electromagnetic inertia of the circuit, so that
Figure BDA0003502809220000096
The motor speed is negligible. However, under the action of the synthesized torque, the rotating speed of the motor is continuously increased, the counter electromotive force of the motor is also continuously increased, and the current is also continuously increased
Figure BDA0003502809220000097
In that
Figure BDA0003502809220000098
And continues to decrease. Due to the continuous increase of the back electromotive force, so
Figure BDA0003502809220000099
In that
Figure BDA00035028092200000910
The degree of decline gradually decreases, and the curve gradually flattens. However, at observation window time
Figure BDA00035028092200000911
In the interior of said container body,
Figure BDA00035028092200000912
the curve changes significantly.
Fig. 3 is a graph showing the time variation of the soft start current and the rotating speed in the locked rotor fault, and the relevant parameters in the graph are described as follows: i issoft(t) is a relation curve of the current of the soft start motor along with the time t during the locked rotor fault, nsoft(t) is a relation curve of the rotating speed of the soft start motor along with the time t during the locked rotor fault,
Figure BDA00035028092200000913
Is Isoft(t) reaches a maximum value
Figure BDA00035028092200000914
The corresponding time,
Figure BDA00035028092200000915
A stable value of the locked-rotor fault current for soft start,
Figure BDA00035028092200000916
Is the maximum value of the current of the normal soft start motor, NTsObserving window time for soft start data, N being the number of sampled data within the window time, TsIs a sampling period,
Figure BDA00035028092200000917
Is the soft start end time.
When the motor is lockedsoft(t) coincides with the time axis, remains zero, and its back electromotive force is zero. Because the electromagnetic inertia of the motor circuit is small, the current rises rapidly from zero in soft start
Figure BDA0003502809220000101
Is timed to
Figure BDA0003502809220000102
Then slightly falls and quickly reaches the locked-rotor stable current
Figure BDA0003502809220000103
Due to normal soft start
Figure BDA0003502809220000104
The motor speed is very low in time, so
Figure BDA0003502809220000105
And
Figure BDA0003502809220000106
the difference is small. As known from the equivalent circuit model of the motor, the leakage inductance and the excitation inductance in the model are very small, and the peak current of the soft start is realized when the motor is locked
Figure BDA0003502809220000107
And
Figure BDA0003502809220000108
the gap is also small. So that the method has the advantages that,
Figure BDA0003502809220000109
the difference in value of (a) is small. In the same way, the method for preparing the composite material,
Figure BDA00035028092200001010
and
Figure BDA00035028092200001011
the difference in (a) is also small. However, the waveforms shown in FIGS. 2 and 3 are at observation window times
Figure BDA00035028092200001012
And
Figure BDA00035028092200001013
in the interior of said container body,
Figure BDA00035028092200001014
the curve changes significantly, and Isoft(t) does not vary significantly.
Comparing the waveforms of fig. 2 and 3, the normal soft start current of the motor can be seen
Figure BDA00035028092200001015
And locked rotor fault soft start current Isoft(t) in respective time windows
Figure BDA00035028092200001016
And
Figure BDA00035028092200001017
the internal variation is large. The definition of grey correlation degree and mathematical meaning show that the correlation between the normal soft start current and the locked rotor soft start current in the observation window time is small. Thus, I can be calculated within the observation window timesoft(t) and
Figure BDA00035028092200001018
the grey correlation degree judges whether the actual working condition is locked rotor or not, so that the locked rotor of the motor is quickly protected, and the service life and the safety of the motor are improved.
In summary, the present invention determines whether the stalling fault exists in the motor according to the obtained association degree by detecting the current sequence in the specific time window of the soft start of the motor and performing grey association degree analysis on the current sequence and the reference current sequence in the specific time window of the normal soft start. The motor starting locked-rotor judging method provided by the invention takes the current sequence in the specific time window of normal soft start when the motor running condition changes as the reference sequence, and can effectively improve the capability of the algorithm in adapting to different working condition environments and inhibiting parameter drift caused by motor aging.

Claims (7)

1. A motor starting locked-rotor judging method based on a grey correlation algorithm is characterized by comprising the following steps: the method comprises the following steps:
step one, when the motor is normally soft started, sampling period T is usedsFor interval pair motor current effective value
Figure FDA0003502809210000011
Sampling, and carrying out dimensionless processing on the sampled data to obtain a normalized reference sequence
Figure FDA0003502809210000012
Step two, when the motor is started to rotate and is blocked to detect, the sampling period T is used in the same waysFor interval to effective value I of motor currentsoft(t) sampling, and carrying out dimensionless processing on the sampling data to obtain a normalized reference sequence
Figure FDA0003502809210000013
Step three, mixing
Figure FDA0003502809210000014
As a comparison sequence, a sequence is selected,
Figure FDA0003502809210000015
as a reference sequence, an error sequence { Δ is obtained0(m)}m＝1,2,…,NWherein:
Figure FDA0003502809210000016
step four, calculating the correlation coefficient
Figure FDA0003502809210000017
Wherein, the second-stage minimum difference Δ (min) is 0, the second-stage maximum difference Δ (max) is 1, and the resolution coefficient γ is 0.5;
step five, calculating the association degree r:
Figure FDA0003502809210000018
and step six, judging whether the association degree r is greater than or equal to 0.8, and if not, determining that the motor starts the locked rotor fault.
2. The motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 1, wherein: the sampling process in the step one is to determine the effective value of the motor current
Figure FDA0003502809210000019
At the moment of occurrence of the maximum value of
Figure FDA00035028092100000110
Obtaining
Figure FDA00035028092100000111
Current effective value data in time, forming a sequence
Figure FDA00035028092100000112
Wherein:
Figure FDA00035028092100000113
3. the motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 2, characterized in that: the sampling process in the second step is to determine the effective value I of the motor currentsoft(t) time of occurrence of maximum value
Figure FDA0003502809210000021
Obtaining
Figure FDA0003502809210000022
Current effective value data in time form a sequence { Isoft(m)}m＝1,2,…,NWherein:
Figure FDA0003502809210000023
4. the motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 1, wherein: before the third step, a judgment is made
Figure FDA0003502809210000024
And
Figure FDA0003502809210000025
if not, the motor starting locked-rotor fault is determined.
5. The motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 1, wherein: when the motor is normally and softly started, firstly judging whether the operation condition of the motor changes or not, and after confirming that the motor is not in abnormal conditions such as locked rotor and other overload conditions, executing sampling work, connecting soft start impedance into a power line of the motor by a controller, and starting the soft start of the motor.
6. The motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 1, wherein: when the motor is started to rotate and is blocked, the soft start impedance is connected to a power line of the motor, and the current is always in a safe range during the rotation blocking.
7. The motor starting locked-rotor judging method based on the gray correlation algorithm as claimed in claim 1, wherein: judging whether the association degree r is greater than or equal to 0.8, if so, judging whether the soft start timing is finished or not by the motor in a normal soft start state, if so, short-circuiting the soft start impedance on a power line of the motor by a controller, and enabling the water pump to enter a normal working procedure; otherwise, wait.
CN202210131486.7A 2022-02-14 2022-02-14 Motor starting locked-rotor judgment method based on grey correlation algorithm Pending CN114531090A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116776074A (en) * 2023-08-21 2023-09-19 威晟汽车科技(宁波)有限公司 Method and device for identifying locked rotor of electronic water pump

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116776074A (en) * 2023-08-21 2023-09-19 威晟汽车科技(宁波)有限公司 Method and device for identifying locked rotor of electronic water pump
CN116776074B (en) * 2023-08-21 2024-01-02 威晟汽车科技(宁波)有限公司 Method and device for identifying locked rotor of electronic water pump

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