CN117097223A - Envelope acquisition method, soft-turning decoding method, circuit, transformer and motor - Google Patents

Envelope acquisition method, soft-turning decoding method, circuit, transformer and motor Download PDF

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Publication number
CN117097223A
CN117097223A CN202311061973.1A CN202311061973A CN117097223A CN 117097223 A CN117097223 A CN 117097223A CN 202311061973 A CN202311061973 A CN 202311061973A CN 117097223 A CN117097223 A CN 117097223A
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feedback
signal
sampling
envelope
excitation
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胡余生
陈广辉
钟国翔
熊超
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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Priority to CN202311061973.1A priority Critical patent/CN117097223A/en
Publication of CN117097223A publication Critical patent/CN117097223A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P23/00Arrangements or methods for the control of AC motors characterised by a control method other than vector control
    • H02P23/14Estimation or adaptation of motor parameters, e.g. rotor time constant, flux, speed, current or voltage
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P23/00Arrangements or methods for the control of AC motors characterised by a control method other than vector control
    • H02P23/0077Characterised by the use of a particular software algorithm

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Power Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Transmission And Conversion Of Sensor Element Output (AREA)

Abstract

The application relates to an envelope curve acquisition method, a rotary soft decoding method, a circuit, a transformer and a motor, wherein the envelope curve acquisition method comprises the following steps: acquiring an excitation signal; determining a peak sampling point from within an excitation period of the excitation signal; determining a feedback sampling point of a feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal and a preset calculation model; and obtaining a feedback envelope curve based on the feedback sampling points so as to decode the rotor angle by using the feedback envelope curve. When calculating the rotor angle of the motor using a resolver, it is necessary to determine the feedback envelope of the feedback signal. Compared with the mode of extracting the feedback envelope curve from the feedback signal in real time in the prior art, the method can determine the feedback envelope curve by using the excitation signal, does not need to process the feedback signal in real time, reduces the operand of a program, and further reduces the decoding cost.

Description

Envelope acquisition method, soft-turning decoding method, circuit, transformer and motor
Technical Field
The application relates to the field of signal processing, in particular to an envelope curve acquisition method, a rotary soft decoding method, a circuit, a transformer and a motor.
Background
In motor control, if the control accuracy is to be improved, a sensor is generally required to be added on the motor to acquire the real-time rotation speed and the rotor angle of the motor. The common sensor has two kinds of rotary transformers and encoders, and has different principles and structures and different application scenes, and the rotary transformers have better dustproof and waterproof performance, better earthquake resistance and higher detection precision, so the rotary transformers are widely applied to the field of new energy automobile driving. The input signal of the rotary transformer is a sine excitation signal with fixed frequency and amplitude, and the input signal is a sine feedback signal and a cosine feedback signal which are induced on the secondary winding and have amplitude changing along with the angle of the motor rotor, so that the feedback signal needs to be decoded when the rotary transformer is used.
In the prior art, a decoding chip is typically used to decode the feedback signal to obtain the rotational speed and angle of the motor. But the decoding chip is expensive.
Disclosure of Invention
The application provides an envelope curve acquisition method, a rotary soft decoding method, a circuit, a transformer and a motor, which are used for at least solving the technical problem of high decoding cost of a rotary transformer.
According to a first aspect of an embodiment of the present application, there is provided an envelope acquisition method including:
acquiring an excitation signal;
determining a peak sampling point from within an excitation period of the excitation signal;
determining a feedback sampling point of a feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal and a preset calculation model;
and obtaining a feedback envelope curve based on the feedback sampling points.
Optionally, the determining a peak sampling point from an excitation period of the excitation signal includes:
acquiring a plurality of sampling points preset in an excitation period of the excitation signal;
and determining the sampling point with the largest value in the excitation period as the peak sampling point corresponding to the excitation period.
Optionally, the acquiring a plurality of sampling points preset in an excitation period of the excitation signal includes:
and acquiring a plurality of sampling points preset in a positive half cycle or a negative half cycle in the excitation period of the excitation signal.
Optionally, the determining the feedback sampling point of the feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal and the preset calculation model includes:
substituting the frequency parameter, the amplitude parameter and the sampling time in the signal parameters into the calculation model to obtain the feedback sampling point.
Optionally, the calculation model includes a sine model and a cosine model;
the sine model is Sin fb =K2K1 sin(ωt)sin(θ);
The cosine model is Cos fb =K2K1 sin(ωt)cos(θ);
Wherein Sin is fb For feeding back values of sampling points of sinusoidal envelope in the envelope, cos fb The value of a feedback sampling point of a cosine envelope in the feedback envelope; k1 and K2 are preset coefficients; ω is angular frequency, ω=2pi f, f is the frequency of the excitation signal; t is the sampling time; and (4) calculating sin (theta) and cos (theta) according to the peak sampling points.
Optionally, after the obtaining a feedback envelope based on the feedback sampling point, the method further includes:
acquiring a current value in a sampling circuit of the feedback signal;
obtaining a signal offset according to the difference between the current value and a preset reference current value;
the feedback envelope is shifted up or down according to the signal offset.
According to a second aspect of the embodiment of the present application, there is provided a soft-rotation decoding method, to which the envelope acquisition method described in the first aspect is applied, the soft-rotation decoding method including:
determining a feedback peak point of the feedback signal according to the feedback envelope;
and calculating the rotor angle and/or the rotor rotating speed of the motor based on the proportional integral model and the feedback peak point.
According to a third aspect of an embodiment of the present application, there is provided a soft decoding circuit, including a processor, a filtering module, a low-pass filtering module, and a sampling module;
the processor is connected with the filtering module, the filtering module is connected with the low-pass filtering module, and the low-pass filtering module is used for being connected with the rotary transformer; the processor, the filtering module and the low-pass filtering module are used for generating an excitation signal;
the input end of the sampling module is used for being connected with the rotary transformer, and the output end of the sampling module is connected with the processor and used for obtaining a feedback signal output by the rotary transformer;
the processor is configured to obtain the feedback signal and the excitation signal, and perform the soft decoding method described in the second aspect to obtain a rotor angle and/or a rotor rotational speed of the motor.
According to a fourth aspect of an embodiment of the present application, there is provided a rotary transformer including the soft decoding circuit according to the third aspect.
According to a fifth aspect of an embodiment of the present application, there is provided an electric motor mounted with the resolver according to the fourth aspect described above.
In the embodiment of the application, when the rotor angle of the motor is calculated by using the rotary transformer, a feedback envelope curve of the feedback signal needs to be determined. Compared with the mode of extracting the feedback envelope curve from the feedback signal in real time in the prior art, the method can determine the feedback sampling point by using the excitation signal, so that the feedback envelope curve is obtained by using the feedback sampling point, the feedback signal is not required to be processed in real time, the operand of a program is reduced, and the decoding cost is reduced. In addition, because the excitation signal is preset, the feedback envelope curve can be determined as early as possible according to the excitation signal, so that the follow-up calculation is only needed at the peak point of the feedback signal, the calculation is simple and efficient, the decoding frequency is improved, and the decoding time cost is reduced.
Drawings
Fig. 1 is a flowchart of an envelope acquisition method according to an embodiment of the present application.
FIG. 2 is a schematic diagram of sampling points over multiple excitation periods of an excitation signal according to one embodiment of the application.
Fig. 3 is a schematic diagram of an envelope in an embodiment according to the application.
Fig. 4 is an overall flowchart of a soft decoding method according to one embodiment of the present application.
Fig. 5 is an equivalent structural diagram of a phase locked loop in one embodiment according to the present application.
Fig. 6 is a schematic diagram of a soft decoding circuit in accordance with one embodiment of the application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, there is provided an embodiment of an envelope acquisition method, it being noted that the steps shown in the flowcharts of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
For ease of understanding, the decoding process of the rotor angle or rotor speed of the motor will be described. For the fields of new energy automobiles and the like, precisely knowing the rotation angle and rotation speed of a motor rotor is a great importance in determining the control accuracy of the motor. In the prior art, a rotary transformer is usually additionally arranged on a motor, and a feedback signal is decoded by using the rotary transformer to obtain the rotation angle and the rotation speed of an electronic rotor. The decoding process comprises the steps of inputting a sinusoidal excitation signal with fixed frequency and amplitude; generating a feedback signal according to the change of the amplitude value induced on the winding along with the angle of the motor rotor; and determining the envelope curve of the feedback signal, and calculating the rotation angle and the rotation speed of the rotor according to the envelope curve. Thus, acquiring the envelope of the feedback signal is an essential element in the decoding process. If the acquisition cost of the envelope can be reduced, the decoding cost can be reduced.
As shown in fig. 1, the method comprises the steps of:
s101, obtaining an excitation signal.
In one embodiment, the excitation signal is a sinusoidal signal of a predetermined frequency and amplitude. The excitation signal may be generated using the MCU to output PWM pulses with a duty cycle and a period of a constant value to input the excitation signal to the motor.
S102, determining a peak sampling point from the excitation period of the excitation signal.
In an embodiment, the excitation signal includes a plurality of excitation periods, and when determining the peak sampling point of the excitation signal, since each excitation period is the same and the period of the feedback signal is the same as the excitation period of the excitation signal, only one peak sampling point in one excitation period can be determined, and then a plurality of feedback sampling points can be obtained according to the fixed excitation period.
S103, determining a feedback sampling point of the feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal and a preset calculation model.
In an embodiment, a calculation model is preset for calculating feedback sampling points of the feedback signal. The feedback sampling points are calculated continuously with time by using a calculation model by taking the sampling moment as the starting moment according to the feedback period of the feedback signal which is the same as the excitation period of the excitation signal and the feedback frequency of the feedback signal which is the same as the excitation frequency of the excitation signal, so that a plurality of feedback sampling points are obtained.
And S104, obtaining a feedback envelope curve based on the feedback sampling points.
Because the frequencies and the periods of the excitation signal and the feedback signal are the same, the position of the peak sampling point of the excitation signal can be equivalent to the position of the feedback sampling point of the feedback signal, and thus the feedback sampling point can be calculated at the position of each peak sampling point by using a calculation model. And after all feedback sampling points are connected, a feedback envelope curve is obtained, and finally, the rotor angle can be obtained by calculating the feedback envelope curve, so that the soft decoding process is completed.
Through the above steps, when calculating the rotor angle of the motor using the resolver, it is necessary to determine the feedback envelope of the feedback signal. Compared with the mode of extracting the feedback envelope curve from the feedback signal in real time in the prior art, the method can determine the feedback sampling point by using the excitation signal, so that the feedback envelope curve is obtained by using the feedback sampling point, the feedback signal is not required to be processed in real time, the operand of a program is reduced, and the decoding cost is reduced. In addition, because the excitation signal is preset, the feedback envelope curve can be determined as early as possible according to the excitation signal, so that the follow-up calculation is only needed at the peak point of the feedback signal, the calculation is simple and efficient, the decoding frequency is improved, and the decoding time cost is reduced.
In another embodiment of the present application, the determining the peak sampling point from within the excitation period of the excitation signal includes:
s201, acquiring a plurality of sampling points preset in an excitation period of the excitation signal.
In an embodiment, a sampling point is preset in an excitation period of the excitation signal, and a plurality of sampling points are preset. The number of sampling points can be adjusted, for example, in an application scenario, 16 sampling points are preset in each excitation period. In other application scenarios, a greater or lesser number of sampling points may be preset per excitation period. The more the number of sampling points is, the higher the accuracy of the determined peak sampling points is, but the larger the calculated amount is. Therefore, the preset number of sampling points is not particularly limited in this embodiment, and may be set according to actual situations.
S202, determining the sampling point with the largest value in the excitation period as the peak sampling point corresponding to the excitation period.
In one embodiment, the absolute value is obtained after the difference between the sampling points in the same excitation period, so as to obtain the sampling point with the maximum value, which is the peak value sampling point.
Through the steps, the peak sampling point is determined in a mode of presetting the sampling point, so that the method is simple and quick, is beneficial to saving the calculated amount and reducing the calculation resources, and is beneficial to reducing the calculation cost.
In another embodiment of the present application, the acquiring a plurality of sampling points preset in an excitation period of the excitation signal includes:
and acquiring a plurality of sampling points preset in a positive half cycle or a negative half cycle in the excitation period of the excitation signal.
In one embodiment, as shown in FIG. 2, each excitation period includes a positive half-cycle and a negative half-cycle. The positive half cycle refers to positive value, namely positive half cycle above the horizontal axis of the coordinate system; negative half-cycle refers to a negative value in magnitude, i.e., a negative half-cycle located below the horizontal axis of the coordinate system.
When the sampling points are preset, a plurality of sampling points are preset on the positive half cycle and the negative half cycle of each excitation cycle. However, in order to improve the accuracy of the excitation envelope, only the sampling points of the positive half cycle or the negative half cycle may be acquired, so that the excitation envelope corresponding to the peak sampling points of the positive half cycle or the excitation envelope corresponding to the peak sampling points of the negative half cycle is obtained.
For ease of understanding, only sampling points of the positive half cycle or the negative half cycle are selected, because the positive half cycle and the negative half cycle correspond to two envelopes, the phase difference of the two envelopes is 180 degrees, and it is necessary to ensure that the same envelope is selected each time.
Through the steps, the difference of the envelopes of the positive half cycle and the negative half cycle of the excitation period is considered, and only sampling points of the positive half cycle or the negative half cycle are obtained, so that the calculated amount of half is reduced, and the cost is reduced.
In another embodiment of the present application, as shown in fig. 3, the determining the feedback sampling point of the feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal, and the preset calculation model includes:
substituting the frequency parameter, the amplitude parameter and the sampling time in the signal parameters into the calculation model to obtain the feedback sampling point.
Specifically, the calculation model comprises a sine model and a cosine model;
the sine model is Sin fb =K2K1 sin(ωt)sin(θ);
The cosine model is Cos fb =K2K1 sin(ωt)cos(θ);
Wherein Sin is fb For feeding back values of sampling points of sinusoidal envelope in the envelope, cos fb The value of a feedback sampling point of a cosine envelope in the feedback envelope; k1 and K2 are preset coefficients; ω is angular frequency, ω=2pi f, f is the frequency of the excitation signal; t is the sampling time; and (4) calculating sin (theta) and cos (theta) according to the peak sampling points.
In one embodiment, the envelope of the sine signal of the rotary feedback is set asCosine signalEnvelope is +.> And->And the actual angle of the rotary change rotor is obtained by sampling at the peak point of the excitation signal.
From the excitation signalAnd->Then, sin (θ) and cos (θ) can be found.
In another embodiment of the present application, after the obtaining a feedback envelope based on the feedback sampling points, the method further includes:
s501, acquiring a current value in a sampling circuit of the feedback signal.
S502, obtaining a signal offset according to the difference between the current value and a preset reference current value.
In an embodiment, the feedback signal and the excitation signal may have an offset in the longitudinal axis direction of the coordinate system, and the signal offset can be calculated by calculating the average value between the feedback signals acquired for multiple times, which is helpful for correcting the excitation envelope according to the signal offset, and obtaining a feedback envelope with higher accuracy.
And S503, moving the feedback envelope upwards or downwards according to the signal offset.
Through the steps, the accuracy of the feedback envelope curve is improved by introducing the signal offset, and the calculation accuracy of the rotor angle is improved.
For ease of understanding, as shown in FIG. 4, the system is first initialized to generate a 10KHZ sinusoidal differential excitation signal, excitationThe signals are input to the primary coil of the rotary transformer so that a sine feedback signal and a cosine feedback signal are respectively induced in the two secondary coils of the rotary transformer. The sine feedback signal and the cosine feedback signal are converted into single-ended signals, and then calculated. Wherein the excitation signal Sin exc Sinusoidal feedback signal Sin fb And cosine feedback signal Cos fb The expressions of (a) are expression (1), expression (2) and expression (3), respectively:
Sin exc =K1sin(ωt) (1)
Sin fb =K2K1sin(ωt)sin(θ) (2)
Cos fb =K2K1sin(ωt)cos(θ) (3)
wherein, K1 and K2 are both coefficients; omega is the rotor speed; θ is the rotor angle.
And then obtaining the offset of the feedback signal, specifically the DC offset. And stopping generating the excitation signal, sampling the feedback signal for a plurality of times, and then taking an average value to obtain the offset.
Then determining peak sampling points, wherein 16 sampling points are assumed to exist in one excitation period, the values of 8 sampling points in the positive half cycle or the negative half cycle are collected, the maximum value of the values is selected, namely the peak sampling points, and the connecting line of the peak points is an envelope curve. Only 8 points of the positive half cycle or the negative half cycle are selected here, because the positive half cycle and the negative half cycle correspond to two envelopes, which are 180 ° out of phase, and it is necessary to ensure that the same envelope is selected each time.
The core program comprises a modulation program of the excitation signal and a phase-locked loop, the core program is triggered at each sampling point, the modulation program in the core program runs each time, but the phase-locked loop only runs at the peak sampling point, and the step of extracting the peak point from the sampling value is omitted.
Wherein the envelope curve of the sine signal fed back by the rotation is made to be according to the phase-locked loop principleThe envelope of the cosine signal is +.> And->The method comprises the steps that the actual angle of the rotary change rotor is obtained by sampling at the peak point of an excitation signal; />Is the angle of the rotor estimated by the phase-locked loop, < >>Is the angular frequency of the rotation. The following relationship can be constructed:
when (when)There is->At this time, modulation is performed by a phase-locked loop, as shown in the equivalent structure of the phase-locked loop in FIG. 5, when the modulation reaches +.>And obtaining the actual angle theta of the rotary-change rotor, and finishing decoding and demodulation of the rotary-change soft part at the moment.
The embodiment of the application also provides a soft decoding circuit, as shown in fig. 6, which comprises a processor, a filtering module, a low-pass filtering module and a sampling module;
the processor is connected with the filtering module, the filtering module is connected with the low-pass filtering module, and the low-pass filtering module is used for being connected with the rotary transformer; the processor, the filtering module and the low-pass filtering module are used for generating an excitation signal;
the input end of the sampling module is used for being connected with the rotary transformer, and the output end of the sampling module is connected with the processor and used for obtaining a feedback signal output by the rotary transformer;
the processor is used for acquiring the feedback signal and the excitation signal, and executing the soft decoding method to obtain the rotor angle and/or the rotor rotating speed of the motor.
In an embodiment, the filtering module is an RC filtering circuit, the low-pass filtering module is a second-order active low-pass filtering circuit, and the sampling module is a sampling circuit.
In one embodiment, the low pass filter module is coupled to the resolver via a resolver.
The embodiment of the application also provides a rotary transformer which comprises the soft decoding circuit.
The embodiment of the application also provides a motor provided with the rotary transformer
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.

Claims (10)

1. An envelope acquisition method, comprising:
acquiring an excitation signal;
determining a peak sampling point from within an excitation period of the excitation signal;
determining a feedback sampling point of a feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal and a preset calculation model;
and obtaining a feedback envelope curve based on the feedback sampling points.
2. The method of envelope acquisition of claim 1, wherein the determining a peak sample point from within an excitation period of the excitation signal comprises:
acquiring a plurality of sampling points preset in an excitation period of the excitation signal;
and determining the sampling point with the largest value in the excitation period as the peak sampling point corresponding to the excitation period.
3. The method of claim 2, wherein the acquiring a plurality of sampling points preset in an excitation period of the excitation signal includes:
and acquiring a plurality of sampling points preset in a positive half cycle or a negative half cycle in the excitation period of the excitation signal.
4. The method of claim 1, wherein determining the feedback sampling point of the feedback signal according to the sampling time of the peak sampling point, the signal parameter of the excitation signal, and a preset calculation model comprises:
substituting the frequency parameter, the amplitude parameter and the sampling time in the signal parameters into the calculation model to obtain the feedback sampling point.
5. The envelope acquisition method of claim 4, wherein the calculation model comprises a sine model and a cosine model;
the sine model is Sin fb =K2K1 sin(ωt)sin(θ);
The cosine model is Cos fb =K2K1 sin(ωt)cos(θ);
Wherein Sin is fb For positive in feedback envelopeValues of feedback sampling points of chord envelope, cos fb The value of a feedback sampling point of a cosine envelope in the feedback envelope; k1 and K2 are preset coefficients; ω is angular frequency, ω=2pi f, f is the frequency of the excitation signal; t is the sampling time; and (4) calculating sin (theta) and cos (theta) according to the peak sampling points.
6. The envelope capturing method of any one of claims 1-5, wherein after the deriving a feedback envelope based on the feedback sampling points, the method further comprises:
acquiring a current value in a sampling circuit of the feedback signal;
obtaining a signal offset according to the difference between the current value and a preset reference current value;
the feedback envelope is shifted up or down according to the signal offset.
7. A soft-rotation decoding method, characterized in that the envelope acquisition method according to any one of claims 1 to 6 is applied, the soft-decoding method comprising:
determining a feedback peak point of the feedback signal according to the feedback envelope;
and calculating the rotor angle and/or the rotor rotating speed of the motor based on the proportional integral model and the feedback peak point.
8. The soft decoding circuit is characterized by comprising a processor, a filtering module, a low-pass filtering module and a sampling module;
the processor is connected with the filtering module, the filtering module is connected with the low-pass filtering module, and the low-pass filtering module is used for being connected with the rotary transformer; the processor, the filtering module and the low-pass filtering module are used for generating an excitation signal;
the input end of the sampling module is used for being connected with the rotary transformer, and the output end of the sampling module is connected with the processor and used for obtaining a feedback signal output by the rotary transformer;
the processor is configured to obtain the feedback signal and the excitation signal, and perform the soft decoding method of claim 7 to obtain a rotor angle and/or a rotor speed of the motor.
9. A rotary transformer comprising the soft decoding circuit of claim 8.
10. An electric machine, characterized in that a resolver according to claim 9 is mounted.
CN202311061973.1A 2023-08-22 2023-08-22 Envelope acquisition method, soft-turning decoding method, circuit, transformer and motor Pending CN117097223A (en)

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CN117792193A (en) * 2024-02-23 2024-03-29 潍柴动力股份有限公司 Sine and cosine envelope extraction method and device, electronic equipment and storage medium

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CN117792193A (en) * 2024-02-23 2024-03-29 潍柴动力股份有限公司 Sine and cosine envelope extraction method and device, electronic equipment and storage medium

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