CN113311333A - High-speed blower stator online fault diagnosis system and method - Google Patents

High-speed blower stator online fault diagnosis system and method Download PDF

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CN113311333A
CN113311333A CN202110580831.0A CN202110580831A CN113311333A CN 113311333 A CN113311333 A CN 113311333A CN 202110580831 A CN202110580831 A CN 202110580831A CN 113311333 A CN113311333 A CN 113311333A
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circuit
stator
information
motor
fault diagnosis
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CN113311333B (en
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毛琨
张婧
郑世强
张海峰
杨全耀
周冲
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Beihang University
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Beihang University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52—Testing for short-circuits, leakage current or ground faults
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/54—Testing for continuity

Abstract

The invention relates to an online fault diagnosis system for a stator of a high-speed blower, which comprises a DSP circuit, an analog signal sampling circuit, a data storage circuit, an interface circuit, a power supply conversion circuit and an information display circuit. And considering errors in the coefficient matrix and the observed quantity, and performing online identification on three electrical parameters of the permanent magnet synchronous motor by the system by adopting a recursive total least square algorithm. When the fault diagnosis is carried out, firstly, three parameters of stator resistance, stator inductance and permanent magnet flux linkage during initial operation and braking after the motor is installed are recorded as normal values for reference; secondly, continuously calculating the actual value of the stator resistance to be compared with a normal reference value in the normal running process of the motor, and detecting the state of the stator in real time; and finally, an alarm can be given out when a fault occurs, and fault diagnosis is carried out by utilizing the identification resistance value so as to distinguish turn-to-turn open circuit and turn-to-turn short circuit. The invention does not need additional sensors, can be directly applied to the existing high-speed blower system for stator on-line fault diagnosis, and reduces the system development cost.

Description

High-speed blower stator online fault diagnosis system and method
Technical Field
The invention relates to the field of electromechanical control, in particular to an online fault diagnosis system for a stator of a high-speed blower.
Background
Compared with the traditional blower, the magnetic suspension blower adopts a working mode of magnetic bearing support and high-speed direct drive, has the advantages of energy conservation, high efficiency, low vibration, low noise, convenient installation and maintenance, no lubricating oil and the like, and is applied to the fields of sewage treatment, aquaculture, material gas delivery and the like.
The magnetic suspension high-speed blower is directly driven by a high-speed motor, the speed is regulated by a frequency converter, and the magnetic suspension bearing rotating inside is subjected to non-contact and non-abrasion suspension support by utilizing an active magnetic suspension bearing system and controllable electromagnetic force. In actual engineering, due to welding defects, excessive mechanical force and other reasons, the motor can generate open circuit faults of a stator winding, further, the three-phase current of the motor can be unstable and unbalanced, and even the operation of the motor is influenced and the motor is damaged; and the stator winding is wound, inserted, moved and repeatedly carried in the production process, so that a paint film of a coil wire is easily damaged, turn-to-turn short circuit faults are caused, the magnetic field generated by the permanent magnet cannot be closed and is difficult to control, and the magnetic field can induce voltage at the fault place of the motor, so that the fault current of the motor is further increased, the temperature of the motor is overhigh, other types of faults are induced, and even the phenomenon of permanent demagnetization of the strong magnet is caused. In order to improve the safety and reliability of the operation of the high-speed blower system, fault detection of the stator windings of the motor is very important.
At present, no stator online fault diagnosis system specially used for a magnetic suspension blower exists, and common motor stator fault diagnosis has different problems: (1) relying on external vibration sensors or other hardware devices is costly and complex to install. (2) Most of the existing fault diagnosis methods are based on the fault characteristics of current signals to carry out frequency domain analysis, and the method can effectively analyze early faults of the motor so as to take measures in time.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the stator online fault diagnosis system based on the parameter identification algorithm is provided, can monitor the running state of a motor stator by using a sensor of a high-speed blower controller, and can distinguish the open circuit fault of the stator winding from the turn-to-turn open circuit fault. The stator state is monitored in real time by identifying the stator resistance, and fault diagnosis of turn-to-turn short circuit and open circuit of the resistance is carried out when a system has faults. The system utilizes a recursive total least square algorithm to identify three electrical parameters of the motor in real time and compare the three electrical parameters with normal reference values obtained in a trial operation stage, the state of a motor stator is monitored on line, and meanwhile, fault diagnosis can be carried out by utilizing the resistance values obtained by identification when the system fails, and open circuit faults and turn-to-turn short circuit faults are distinguished. The invention does not need additional sensors, can be directly applied to the existing high-speed blower system for stator online fault diagnosis, and reduces the research and development cost of the system.
The technical scheme adopted by the invention for solving the problems is as follows: a high-speed blower stator online fault diagnostic system comprising: a DSP circuit: the interface circuit is connected with the data storage circuit, the interface circuit, the power supply conversion circuit and the information display circuit; when the blower system is actually operated, the DSP circuit receives a power supply provided by the power supply conversion circuit to start working, then external key information is acquired through the interface circuit, a system working mode is determined, then stator voltage, stator current and motor rotating speed information of a motor in the blower system are continuously sampled through the analog signal sampling circuit and are transmitted to the data storage circuit to be stored, corresponding identification algorithm processing is carried out according to the information obtained through sampling, a flux linkage, inductance and resistance of the motor are acquired, whether a fault occurs or not is judged according to the identified stator resistance parameter value, if the fault occurs, a fault level signal is immediately output through the interface circuit and used for closing a blower driver, and finally, related electrical parameter values and fault information are displayed through the information display circuit;
analog signal sampling circuit: the power conversion circuit is connected with the data storage circuit; the analog signal sampling circuit comprises an operational amplifier and a signal conditioning circuit and is used for sampling the stator voltage, the stator current and the motor rotating speed of the motor and transmitting the sampled signals to the data storage circuit to finish information storage;
a data storage circuit: the motor parameter identification device comprises a plurality of storage chips, a power supply conversion circuit, an analog signal sampling circuit and a DSP circuit, wherein the storage chips are connected with the power supply conversion circuit, the analog signal sampling circuit and the DSP circuit, store voltage, current and rotating speed information input by the analog signal sampling circuit and transmit the information to the DSP circuit to execute a motor parameter identification algorithm on line;
an interface circuit: the circuit mainly comprises a TTL level signal conversion circuit and a differential input/output circuit, and is connected with a DSP circuit and a power supply conversion circuit;
an information display circuit: the DSP circuit is connected and used for displaying the identification value and the fault information of the electrical parameter in real time;
the power conversion circuit provides power for the circuits.
Furthermore, the power supply conversion circuit is connected with the DSP circuit, the analog signal sampling circuit, the data storage circuit, the interface circuit and the information display circuit; the power conversion circuit converts external 220V alternating current into a +5V power supply through the AC-DC power supply module, and the +5V power supply is converted into a +3.3V power supply for other circuits of the system through the linear voltage stabilizer, so that the normal work of the whole system is realized.
Further, the information display circuit: the system mainly comprises an OLED and a driving circuit which are connected with a power supply conversion circuit and a DSP circuit, and when the system is in actual operation, an information display circuit receives power supply provided by the power supply conversion circuit to start working, is connected with the DSP circuit and displays the identification value and fault information of the electrical parameter in real time.
Furthermore, the interface circuit receives power supply provided by the power supply conversion circuit to start working, converts an external differential input signal into TTL level and inputs the TTL level to the DSP circuit, and meanwhile, the interface circuit is connected with an enabling end of the blower driver and can also convert the TTL level signal of the DSP circuit into a differential output signal.
According to another aspect of the invention, a method for online fault diagnosis of a stator online fault diagnosis system of a high-speed blower is provided, wherein the online fault diagnosis comprises the following specific steps:
step 1, after a power supply is switched on, controlling a differential input signal of an interface circuit to be a high level, setting a high-speed blower stator online fault diagnosis system to be in a trial operation stage, enabling a blower to operate at a rated rotating speed, collecting and storing stator voltage, stator current and motor rotating speed data of a motor by using an analog signal sampling circuit and a data storage circuit, simultaneously transmitting the data to a DSP circuit, and identifying resistance, inductance and flux linkage parameters of the motor in real time by using a recursive total least square method and transmitting the parameters to an information display circuit;
step 2, setting the trial operation time length of the online fault diagnosis system as a preset time length, acquiring the stator resistance, the stator inductance and the permanent magnet flux linkage of the motor in stable operation as normal values for reference at the stage, and after the trial operation is finished, sending trial operation end information to the information display circuit by the DSP circuit;
step 3, setting the differential input signal of the interface circuit to be low level, and enabling the system to enter an online fault diagnosis stage; after entering an online fault diagnosis stage, continuously acquiring and storing voltage, current and rotating speed information of the motor by the analog signal sampling circuit and the data storage circuit and transmitting the information to the DSP circuit, identifying three electrical parameters of the motor by using a recursive total least square algorithm and transmitting the three electrical parameters to the information display circuit, continuously comparing the resistance value of the identified stator with a normal reference value obtained in a trial operation stage in real time, considering the change of the resistance influenced by temperature, if the difference value exceeds a preset proportion of the normal reference value, determining that the system is in fault, sending a fault signal to the information display circuit by the DSP circuit, controlling the interface circuit to output a fault level signal, and closing a blower driving system;
step 4, after the information display circuit displays the fault signal, the system automatically enters a fault diagnosis stage, and the blower is in a braking deceleration stage at the moment; if the resistance value of the stator resistor is identified to be continuously reduced compared with the reference resistance value, the stator resistor is considered to be caused by turn-to-turn short circuit; if the resistance value of the stator resistor is identified to be continuously increased, the stator resistor is considered to be caused by turn-to-turn disconnection.
Compared with the existing motor stator fault diagnosis method, the invention has the following advantages:
(1) according to the invention, when the stator fault is monitored, an additional speed sensor and a vibration sensor are not needed, and the required data information is acquired by utilizing the current sensor and the voltage sensor which are arranged on the high-speed blower controller, so that the system device is simplified, and the cost is reduced.
(2) The method adopts a recursive total least square algorithm to perform on-line identification on the electrical parameters of the motor stator resistance, the stator inductance and the permanent magnet flux linkage parameters, considers the coefficient matrix error and the observed quantity error, improves the identification precision, and reduces the calculated quantity and the storage quantity by adopting a recursive mode.
(3) The method takes the reasonable electrical parameter value identified in the primary operation process after the high-speed blower is installed as a reference value, monitors the operation state of the stator, utilizes the identified stator resistance value to compare with the normal reference value in the primary operation stage by combining factors such as temperature, stator material and the like when the high-speed blower has a fault, realizes the monitoring of the state of the stator, diagnoses the fault of the motor stator, and judges the open circuit fault and the turn-to-turn short circuit fault of the stator resistance.
Drawings
FIG. 1 is a block diagram of the structural components of the present invention;
FIG. 2(a) is a portion of the DSP circuit of the present invention;
FIG. 2(b) shows another portion of the DSP circuit of the present invention;
FIG. 3 is an analog signal sampling circuit of the present invention;
FIG. 4 is a data storage circuit of the present invention;
FIG. 5 is an interface circuit of the present invention;
FIG. 6 is a power conversion circuit of the present invention;
FIG. 7 is an information display circuit according to the present invention;
FIG. 8 is a control flow diagram of the present invention;
FIG. 9 is a flowchart of the recursive overall least squares algorithm of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person skilled in the art based on the embodiments of the present invention belong to the protection scope of the present invention without creative efforts.
According to an embodiment of the present invention, as shown in fig. 1, the diagnostic system of the present invention mainly includes a DSP circuit 1, an analog signal sampling circuit 2, a data storage circuit 3, an interface circuit 4, a power conversion circuit 5, and an information display circuit 6.
The DSP circuit 1 is a core control circuit of the system and is connected with the data storage circuit 3, the interface circuit 4, the power conversion circuit 5 and the information display circuit 6.
When the fault diagnosis system of the invention is actually operated, firstly, the power supply for maintaining work is required to be received from the power supply conversion circuit 5 to start normal work, secondly, the external key command is received through the interface circuit 4, and the system is set to be in a test operation stage or a fault diagnosis stage. After the system starts to operate normally, the DSP circuit 1 firstly obtains the stator voltage, the stator current and the rotating speed information of the motor through the analog signal sampling circuit 2 connected with the data storage circuit 3, based on the information, the identification values of three electrical parameters of the motor are obtained by utilizing the recursive total least square algorithm and are transmitted to the information display circuit 6, and the stator resistance value is compared and analyzed with the reference value obtained in the system trial operation stage, so that the online fault diagnosis of the stator state of the high-speed blower can be realized. When a fault is detected, the information display circuit 6 displays system fault information, and the DSP circuit 1 outputs a fault signal through the interface circuit 4 for turning off the blower driving system. At the moment, the resistance value information of the stator resistor is compared and analyzed by combining the temperature, the stator material and other information, and whether the fault is turn-to-turn short circuit or turn-to-turn open circuit can be judged.
As shown in fig. 2(a) - (b), the DSP chip of the present invention selects a TMS320F28379D chip of TI company, which has a dual core architecture, operates with a dominant frequency of 200MHz, is a powerful 32-bit floating point microcontroller unit, is dedicated to advanced closed loop system control application, and can improve the processing performance of parameter identification and fault diagnosis algorithms.
As shown in fig. 3, the analog signal sampling circuit 2 of the present invention is mainly used for collecting three-phase current and voltage signals. The 3.3V power supply provided by the power supply conversion circuit is received to work, signals are followed through the LMV324 operational amplifier, then a secondary low-pass filter is designed through the LMV324, and after data signals are collected, the data signals are transmitted to the DSP circuit 1 through the data storage circuit 3.
As shown in fig. 4, the data storage circuit 3 of the present invention employs an IS61LV6416 chip, which IS a high-speed SRAM with a capacity of 1M and a word length of 64K × 16 bits, and has a fast access speed and input/output compatible with TTL standards. The power supply conversion circuit 5 supplies +3.3V power supply, receives the data collected by the analog signal sampling circuit 2 and transmits the data to the DSP circuit 1.
As shown in fig. 5, the interface circuit 4 of the present invention uses an AM26LV32E chip for input and an AM26LV31E chip for output. The +3.3V power supply provided by the receiving power supply conversion circuit 5 starts to work, and the 3.3V TTL level signal is converted into a differential signal to be output. Meanwhile, the differential input signal can be converted into a TTL level signal of 3.3V.
As shown in FIG. 6, the power conversion circuit 5 of the present invention mainly uses an AP05N03 power module, has an input range of 85V-265VAC, and can output voltages of various values of 3.3V-24V. The 220V alternating current is converted into 5V direct current, and then 5V is converted into 3.3V by AMS 1117-3.3.
As shown in fig. 7, the information display circuit 6 of the present invention selects a 7-pin OLED display screen of 0.96 inch, adopts SPI communication, is connected to the power conversion circuit 5 and the DSP circuit 1, receives the +3.3V power supplied from the power conversion circuit 5, is connected to the DSP circuit 1 through an SPI bus and an IO, and displays identification parameters and fault information.
The algorithm flow chart of the high-speed blower stator online fault diagnosis system is shown in FIG. 8:
after the system is powered on and started, whether the blower is in an initial test operation stage is determined according to an external given signal, and if the blower is in the initial operation stage, normal reference value recording of the electrical parameters is started. At this stage, firstly stator voltage, stator current and motor rotating speed information are obtained, then the identification value of the electrical parameter is obtained through a recursive total least square algorithm according to the obtained information, the system is maintained to operate stably for 1min, the finally obtained reasonable identification value of the electrical parameter is used as a normal value R _ ref for reference, and the trial operation stage is ended at this moment.
And if the system is judged not to be in initial trial operation by an external given signal after the system is powered on and started, starting an online fault diagnosis stage of the high-speed blower. In the phase, firstly stator voltage, stator current and motor rotating speed information are obtained, then an identification value of an electrical parameter is obtained through a recursive total least square algorithm according to the obtained information, a stator resistance value R _ real obtained in the on-line fault diagnosis phase is compared with a normal reference value, and if the stator resistance value R _ real meets | R |, the stator resistance value R _ real is compared with the normal reference value_real-R_ref|≥0.2×R_refIf yes, setting the system to enter a fault state Error to be 1; if the resistance value R _ real of the stator resistor at this time satisfies | R_real-R_ref|＜0.2×R_refThen the system is deemed to be not malfunctioning. When Error is 1, a failure signal is output as a brake signal of the high-speed blower driving system. The system continuously samples the motor rotating speed information at the moment, when the motor rotating speed continuously decreases, the blower system is indicated to enter a braking and speed-decreasing stage, and at the moment, if the stator resistance value R _ real meets R_real-R_ref≥0.2×R_refIf the system failure Mode is set to Error _ Mode equal to 1, the high-speed blower is considered to be in the high-speed ModeThe system has an open circuit fault; if the resistance R _ real of the stator resistor satisfies R_ref-R_real≥0.2×R_refIf the system fault Mode is set to Error _ Mode as 2, the system is considered to have the turn-to-turn short circuit fault.
Fig. 9 shows a parameter identification algorithm based on recursive total least squares, which is different from the recursive least squares algorithm and the total least squares algorithm. The method considers the error of the observed quantity and the error of the system matrix, improves the parameter estimation precision, and reduces the calculation quantity and the storage space requirement by adopting a recursion mode. The specific algorithm is as follows:
firstly, discretizing a permanent magnet synchronous motor state equation under a synchronous rotating coordinate system, and acquiring a q-axis discretization state model equation for identifying three electrical parameters of resistance, inductance and flux linkage:
iq(k)＝α2iq(k-1)+β2[ωr(k)id(k)+ωr(k-1)id(k-1)]+γ2[uq(k)+uq(k-1)]+κ[-ωr(k)-ωr(k-1)]
wherein the content of the first and second substances,
Figure BDA0003085969310000061
Tsis a sampling period; k is a sampling point; u. ofqIs the q-axis component of the stator voltage; i.e. id、iqAre the d-q axis components of the stator current, respectively; rsIs the stator resistance; omegarIs the electrical angular velocity; psifIs a rotor permanent magnet flux linkage; for the surface-mounted permanent magnet synchronous motor, the inductances of d and q axes of the stator are equal, namely Ld＝Lq＝Ls。
Then the stator resistance RsStator inductance LsAnd permanent magnet flux linkage psifCan be expressed as:
Figure BDA0003085969310000071
Figure BDA0003085969310000072
defining observed quantity y (k) and coefficient matrix respectively
Figure BDA0003085969310000073
The following were used:
y(k)＝iq(k)
Figure BDA0003085969310000074
obtaining a mathematical model of the permanent magnet synchronous motor
Figure BDA0003085969310000075
Wherein θ (k) ═ α2 β2 γ2 κ]T. Because both the observed quantity and the coefficient matrix contain errors, an observed quantity true value Y is definedkObservation vector
Figure BDA0003085969310000076
And its error vector Δ Y, assuming Δ Y obeys 0 mean and the variance is δy 2Normal distribution of (a), then:
Figure BDA0003085969310000077
defining coefficient matrix truth value HkCoefficient matrix
Figure BDA0003085969310000078
And its error matrix Δ H, assuming Δ H obeys 0 mean and variance δh 2Normal distribution of (a), then:
Figure BDA0003085969310000079
wherein the content of the first and second substances,
Figure BDA00030859693100000710
thus, the overall least squares are reduced to solve the cost function
Figure BDA00030859693100000711
Into an optimization problem, wherein | · |. non-phosphorFRepresenting the F-norm of the matrix.
In order to reduce the storage space and the calculation amount, a recursion mode is adopted for solving, and H is definedkThe autocorrelation matrix R (k) is
Figure BDA00030859693100000712
Defining an extension vector
Figure BDA00030859693100000713
Then
Figure BDA00030859693100000714
Is self-correlation matrix of
Figure BDA00030859693100000715
Wherein, b (k) is E [ HkYk]，c(k)＝E[YkYk]. Can be obtained by minimizing a function
Figure BDA00030859693100000716
The aforementioned optimization problem is solved, wherein,
Figure BDA00030859693100000717
β＝δy 2/δh 2，
Figure BDA00030859693100000718
the formula g (q) is developed and arranged as for
Figure BDA00030859693100000719
Function of (c):
Figure BDA0003085969310000081
to solve this minimization problem, a gradient search method is employed, utilizing
Figure BDA0003085969310000082
For parameter vector
Figure BDA0003085969310000083
Iteratively updated, whereinkIs the adaptive gain, which can be solved by the following formula:
Figure BDA0003085969310000084
c1＝2Hk 3b(k)
Figure BDA0003085969310000085
in the formula (I), the compound is shown in the specification,
Figure BDA0003085969310000086
get it solved
Figure BDA0003085969310000087
Extended vector
Figure BDA0003085969310000088
Can be obtained by
Figure BDA0003085969310000089
Iterative update, where λ is the forgetting factor (0.9)<λ<1). Meanwhile, R (k), b (k), c (k) are iteratively updated by the following formula:
Figure BDA00030859693100000810
thus, given initial values θ (0), R (0), b (0), and c (0), R (k), b (k), c (k), and the parameter c (k) are updated first1、c2、c3Then calculates the adaptive gain alphakSecondly, updating the unknown parameter matrix theta (k) of the model, and finally substituting the identification result into Rs, Ls and psifIn the expression (2), the resistance, inductance and flux linkage parameters are calculatedAnd (4) realizing the online identification of the electrical parameters of the high-speed blower system.
Although the invention is a high-speed blower stator on-line fault diagnosis system, the invention can also be used as a general motor stator on-line fault diagnosis system, is suitable for controlling other alternating current motor systems, and an applicator can flexibly and conveniently realize the functions by modifying software, changing hardware parameters and the like according to the special application field of the applicator.
The invention has not been described in detail and is within the skill of the art.
The above description is only a part of the embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.

Claims (5)

1. The utility model provides a high-speed blower stator fault diagnostic system on line which characterized in that: the method comprises the following steps:
DSP circuit (1): is connected with the data storage circuit (3), the interface circuit (4), the power conversion circuit (5) and the information display circuit (6); in actual operation, the DSP circuit (1) receives the power supply provided by the power supply conversion circuit (5) to start working, secondly, obtaining external key information through an interface circuit (4), determining the working mode of the system, continuously sampling the stator voltage, the stator current and the motor rotating speed information of a motor in the blower system through an analog signal sampling circuit (2), and transmitting the information to a data storage circuit (3) for information storage, the information obtained by sampling is processed by corresponding identification algorithm to obtain the flux linkage, the inductance and the resistance of the motor, and judging whether a fault occurs according to the identified stator resistance parameter value, if so, immediately outputting a fault level signal through an interface circuit (4), the device is used for turning off the blower driver and finally displaying relevant electrical parameter values and fault information through the information display circuit (6);
analog signal sampling circuit (2): is connected with the power supply conversion circuit (5) and the data storage circuit (3); the analog signal sampling circuit (2) comprises an operational amplifier and a signal conditioning circuit and is used for sampling the stator voltage, the stator current and the motor rotating speed of the motor and transmitting the sampled signals to the data storage circuit (3) to finish information storage;
data storage circuit (3): the device comprises a plurality of memory chips, a power conversion circuit (5), an analog signal sampling circuit (2) and a DSP circuit (1), wherein the memory chips are connected with the power conversion circuit (5), the analog signal sampling circuit (2) and the DSP circuit (1), store voltage, current and rotating speed information input by the analog signal sampling circuit (2), and transmit the information to the DSP circuit (1) to execute a motor parameter identification algorithm on line;
interface circuit (4): the circuit mainly comprises a TTL level signal conversion circuit and a differential input and output circuit, and is connected with a DSP circuit (1) and a power supply conversion circuit (5);
information display circuit (6): and the DSP circuit (1) is connected and used for displaying the identification value and the fault information of the electrical parameters in real time.
Power conversion circuit (5): and providing power supply for the circuits.
2. The stator on-line fault diagnosis system of the high-speed blower according to claim 1, characterized in that the power conversion circuit (5) is connected with the DSP circuit (1), the analog signal sampling circuit (2), the data storage circuit (3), the interface circuit (4) and the information display circuit (6); the power conversion circuit (5) converts external 220V alternating current into +5V power through the AC-DC power module, and the +5V power is converted into +3.3V power through the linear voltage stabilizer to supply power for other circuits of the system, so that the normal work of the whole system is realized.
3. The high-speed blower stator online fault diagnosis system according to claim 1, characterized in that the information display circuit (6): the system mainly comprises an OLED and a driving circuit which are connected with a power supply conversion circuit (5) and a DSP circuit (1), and when the system is in actual operation, an information display circuit (6) receives power supply provided by the power supply conversion circuit (5) to start working, is connected with the DSP circuit (1), and displays the identification value and fault information of the electrical parameters in real time.
4. The stator on-line fault diagnosis system of the high-speed blower according to claim 1, wherein the interface circuit (4) receives the power supply from the power conversion circuit (5) to start operation, converts the external differential input signal to TTL level and inputs it to the DSP circuit (1), and the interface circuit (4) is connected to the enable terminal of the blower driver to convert the TTL level signal of the DSP circuit (1) to the differential output signal.
5. A method for online fault diagnosis of a stator online fault diagnosis system of a high-speed blower according to any one of claims 1 to 4, wherein: the online fault diagnosis method comprises the following specific steps:
step 1, after a power supply is switched on, controlling a differential input signal of an interface circuit (4) to be a high level, setting a high-speed blower stator on-line fault diagnosis system to be in a trial operation stage, enabling a blower to operate at a rated rotating speed, collecting and storing stator voltage, stator current and motor rotating speed data of a motor by using an analog signal sampling circuit (2) and a data storage circuit (3), simultaneously transmitting the data to a DSP circuit (1), and identifying resistance, inductance and flux linkage parameters of the motor in real time by using a recursive total least square method and transmitting the parameters to an information display circuit (6);
step 2, setting the trial operation time length of the online fault diagnosis system as a preset time length, acquiring the stator resistance, the stator inductance and the permanent magnet flux linkage of the motor in stable operation as normal values for reference at the stage, and after the trial operation is finished, sending trial operation end information to the information display circuit (6) by the DSP circuit (1);
step 3, setting the differential input signal of the interface circuit (4) to be low level, and enabling the system to enter an online fault diagnosis stage; after entering an online fault diagnosis stage, continuously acquiring and storing voltage, current and rotating speed information of a motor by an analog signal sampling circuit (2) and a data storage circuit (3) and transmitting the information to a DSP circuit (1), identifying three electrical parameters of the motor by using a recursive total least square algorithm and transmitting the three electrical parameters to an information display circuit (6), continuously comparing the resistance value of the identified stator with a normal reference value obtained in a trial operation stage in real time, considering the change of the resistance influenced by temperature, if the difference value exceeds a preset proportion of the normal reference value, determining that the system has a fault, sending a fault signal to the information display circuit (6) by the DSP circuit (1), controlling an interface circuit (4) to output a fault level signal, and closing a blower driving system;
step 4, after the information display circuit (6) displays the fault signal, the system automatically enters a fault diagnosis stage, and the blower is in a braking deceleration stage at the moment; if the resistance value of the stator resistor is identified to be continuously reduced compared with the reference resistance value, the stator resistor is considered to be caused by turn-to-turn short circuit; if the resistance value of the stator resistor is identified to be continuously increased, the stator resistor is considered to be caused by turn-to-turn disconnection.
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