An ampere-turn regulator based on imbalance constraint and its coordination system

Abstract

The present invention relates to an imbalance-constrained ampere-turn regulator and its coordination system. The system comprises an execution coil assembly, an execution controller, a first detection module, and a communication module. The system generates a corresponding matching strategy based on a matching request, the matching strategy comprising a plurality of matching instructions and calibration instructions. The system analyzes a response magnetic field waveform to generate relative position coordinates. A deviation evaluation algorithm is configured to calculate a deviation vector corresponding to a measured magnetic field deviation. When the deviation vector satisfies a static correction condition, the static correction strategy is executed to generate a deviation allocation instruction to adjust the control signal of the corresponding target ampere-turn regulator. When the deviation vector satisfies a dynamic correction condition, the dynamic correction strategy is executed to generate a position correction instruction to correct the relative position coordinates corresponding to the target ampere-turn regulator. By introducing a magnetic field allocation submodel and a feedback execution subsystem, the efficiency and accuracy of magnetic field adjustment are further improved, and precise adjustment is achieved in complex magnetic field environments.

Description

Technical Field

[0001] The present invention relates to a magnetic field regulating device, and more particularly to an ampere-turn regulator based on imbalance constraint and a coordination system thereof. Background Art

[0002] The principle of an ampere-turn adjuster is to change the generated magnetic field by adjusting the number of coil turns and the current, thereby adjusting the magnetomotive force. Ampere-turns are an engineering unit of measurement for the magnetomotive force generated by a coil and are equal to the product of the number of coil turns and the current flowing through the coil. The greater the ampere-turns, the stronger the generated magnetic field. Existing ampere-turn adjusters operate independently and dynamically, performing demagnetization by generating a dynamic magnetic field through magnetic field detection. If multiple ampere-turn adjusters are provided, each operating independently, this results in a more complex and dynamic mathematical model for adjustment. This not only increases adjustment time, but also increases the lifespan of the device due to the high load conditions of most coils. Furthermore, if the interfering magnetic field changes, the corresponding response time is also longer. To address these issues, a technical solution is urgently needed that can enable multiple ampere-turn adjusters to work in coordination, reducing adjustment complexity, optimizing coil operation, and improving system response speed and stability. Furthermore, the existing technology lacks an effective detection and correction mechanism for imbalances in the ampere-turn adjusters (such as ampere-turn difference, phase offset, harmonic distortion rate, etc.), further limiting the reliability and accuracy of the system. Therefore, an ampere-turn regulator based on imbalance constraint and its coordination system are developed. By introducing matching strategies, collaborative matching databases, imbalance detection and correction modules, and dynamic feedback execution subsystems, the problems existing in the existing technologies, such as high adjustment complexity, delayed response, and insufficient imbalance processing capability, can be effectively solved, providing a more efficient, stable, and reliable solution for the field of magnetic field adjustment. Summary of the Invention

[0003] In view of this, an object of the present invention is to provide a current-to-voltage acquisition circuit that suppresses common-mode interference.

[0004] In order to solve the above technical problems, the technical solution of the present invention is:

[0005] An ampere-turn adjuster based on imbalance constraint includes an execution coil group, an execution controller, a first detection module, and a communication module. The execution coil group includes multiple groups of adjustment coils. The communication module is used to establish a communication connection with other ampere-turn adjusters. The execution controller is used to generate a control signal to control the corresponding execution coil group to generate an execution magnetic field. The first detection module includes a magnetic field detection unit. The magnetic field detection unit is used to detect the ambient magnetic field. The execution controller includes a matching association module. The matching association module responds to the matching request received by the communication module and generates a corresponding matching strategy based on the matching request. The matching strategy includes a number of matching instructions and calibration instructions. According to the matching instructions, a corresponding control signal is generated to control the execution coil group to generate a corresponding matching magnetic field, and a response magnetic field waveform is generated according to the changes in the ambient magnetic field detected by the magnetic field detection unit. The calibration instruction is used to analyze the response magnetic field waveform to generate relative position coordinates.

[0006] Furthermore: it includes a magnetic field execution module, the magnetic field execution module generates a magnetic field allocation sub-model according to the relative position coordinates, the magnetic field allocation sub-model generates a corresponding allocation execution instruction according to the input target magnetic field information, and the execution controller generates a corresponding control signal according to the allocation execution instruction to control the execution coil group to generate a modulated magnetic field.

[0007] Furthermore: the matching strategy includes obtaining the benchmark information in the matching request, and retrieving the corresponding matching task group from a pre-configured collaborative matching database based on the benchmark information, each matching task group includes several matching tasks, each matching task includes an execution end and at least one response end, when the matching identity of the ampere-turn adjuster is the execution end, the corresponding matching instruction is executed, and when the matching identity of the ampere-turn adjuster is the response end, the corresponding calibration instruction is executed.

[0008] Furthermore: the execution controller also includes a self-imbalance evaluation module, which is configured with an imbalance detection strategy. The imbalance detection strategy includes obtaining the working waveform of each execution coil and analyzing it to obtain the ampere-turn difference, phase offset, harmonic distortion rate and abnormal waveform characteristic value, and calculating the imbalance evaluation value through a preset imbalance evaluation sub-algorithm, and retrieving the corresponding imbalance correction instruction from a preset imbalance correction table according to the imbalance evaluation value.

[0009] Furthermore: the execution controller also includes an imbalance correction module, which generates a corresponding control signal according to the imbalance correction instruction to control the operation of the execution coil group. The imbalance correction instruction includes an overflow compensation instruction item. When the overflow compensation instruction item in the imbalance correction instruction is not empty, the overflow compensation instruction is sent to other ampere-turn regulators; when the ampere-turn regulator receives the overflow compensation instruction, it corrects the corresponding control signal according to the overflow compensation instruction.

[0010] Furthermore, the number of the matching tasks is greater than the number of ampere-turn regulators in the system, and each ampere-turn regulator has at least one matching task with the matching identity of an execution end in each matching task group.

[0011] In order to achieve the second purpose of the present invention, an ampere-turn adjuster coordination system based on imbalance constraint is provided, including the above-mentioned ampere-turn adjuster based on imbalance constraint, the ampere-turn adjuster is set to multiple, and also includes a feedback execution subsystem, the feedback execution subsystem includes a second detection module, a deviation operation module and a correction execution module, the second detection module is configured with a plurality of magnetic field detection units in the target area, the second detection module is used to detect the magnetic field of the target area to generate a feedback magnetic field, the deviation operation module compares the feedback magnetic field with the target magnetic field information to generate a measured magnetic field deviation, the correction execution module is configured with a deviation evaluation algorithm for calculating the deviation vector corresponding to the measured magnetic field deviation, when the deviation vector meets the static correction condition, the static correction strategy is executed to generate a deviation allocation instruction to adjust the control signal of the corresponding target ampere-turn adjuster; when the deviation vector meets the dynamic correction condition, the dynamic correction strategy is executed to generate a position correction instruction to correct the relative position coordinate corresponding to the target ampere-turn adjuster.

[0012] Furthermore: the deviation evaluation algorithm includes respectively calculating the amplitude deviation, phase deviation, spatial gradient deviation and spatial uniformity deviation to construct a four-dimensional vector as a deviation vector, and the static correction condition and the dynamic correction condition are respectively configured as range trigger intervals in the virtual coordinate model. When the four-dimensional vector falls into the corresponding range trigger interval, it is deemed to meet the corresponding correction condition.

[0013] Furthermore: the static correction strategy includes generating a target ampere-turn ring of the target ampere-turn regulator based on the deviation vector calculation, generating an adjustment constraint based on the deviation between the target ampere-turn ring and the current ampere-turn ring, and generating a corresponding adjustment current and adjustment number of turns based on the adjustment constraint to generate a control signal.

[0014] Furthermore: the dynamic correction strategy includes a deviation calculation module that retrieves an ideal magnetic field from a preset theoretical magnetic field model based on target magnetic field information, analyzes the ideal magnetic field and the feedback magnetic field through analytical models to generate an ideal magnetic field fingerprint group and a feedback magnetic field fingerprint group for target ampere-turn adjustment, fits the ideal magnetic field fingerprint group and the feedback magnetic field fingerprint group to generate ideal fitting coordinates, and adjusts the relative position coordinates of the target ampere-turn adjuster according to the ideal fitting coordinates.

[0015] The technical effects of the present invention are mainly reflected in the following aspects: Through the ampere-turn regulator and its control system of the present invention, rapid and stable adjustment of the magnetic field can be achieved, thereby improving imaging quality and efficiency. In addition, because the system has real-time monitoring and dynamic correction capabilities, it can maintain high adaptability and robustness in complex magnetic field environments. In summary, the present invention realizes the coordinated work between multiple groups of ampere-turn regulators through a communication module, optimizes the workload of the coil through a matching strategy, extends the service life of the device, and ensures the accuracy and stability of the magnetic field during the adjustment process through calibration instructions. By introducing the magnetic field distribution sub-model and the feedback execution subsystem, the efficiency and accuracy of the magnetic field adjustment are further improved, and precise adjustment is achieved in a complex magnetic field environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 : A schematic diagram of the device structure of an ampere-turn regulator based on imbalance constraint according to the present invention;

[0017] Figure 2 : Schematic diagram of the device hardware architecture of an ampere-turn regulator based on imbalance constraint of the present invention;

[0018] Figure 3 : A system architecture schematic diagram of an ampere-turn regulator coordination system based on imbalance constraint according to the present invention;

[0019] Figure 4 : Schematic diagram of the equipment application scenario of an ampere-turn regulator coordination system based on imbalance constraint of the present invention.

[0020] Figure numerals: 100, ampere-turn regulator; 110, execution coil group; 111, adjustment coil; 120, execution controller; 121, matching association module; 122, self-imbalance evaluation module; 123, imbalance correction module; 130, first detection module; 140, communication module; 150, magnetic field execution module; 200, feedback execution subsystem; 210, second detection module; 220, deviation calculation module; 230, correction execution module. DETAILED DESCRIPTION

[0021] The specific embodiments of the present invention are further described below in conjunction with the accompanying drawings to make the technical solutions of the present invention easier to understand and grasp.

[0022] Reference Figure 1 As shown, an ampere-turn regulator 100 based on imbalance constraint, referring to Figure 2 As shown, it includes an execution coil group 110, an execution controller 120, a first detection module 130, and a communication module 140. The execution coil group 110 includes multiple groups of adjustment coils 111.

[0023] The communication module is used to establish a communication connection with other ampere-turn regulators 100. When in use, the communication module can synchronize the waveform and time of magnetic field generation and magnetic field reception by sending signals, thereby completing the construction of a magnetic field generation simulation scene.

[0024] The execution controller 120 is used to generate a control signal to control the corresponding execution coil group 110 to generate an execution magnetic field. The first detection module 130 includes a magnetic field detection unit. The first detection module 130 is arranged inside the ampere-turn adjuster 100 and is used to detect the magnetic field. The traditional ampere-turn adjuster 100 is also provided with this device for the purpose of detecting the magnetic field strength. Since the present invention requires more accurate detection, it is necessary to capture the vector data of the magnetic field. Therefore, multiple magnetic field detection units are provided, which are respectively arranged at different positions inside the shell. In this way, the magnetic field vector of the magnetic field generated by other ampere-turn adjusters 100 at that position can be detected. The technology of detecting the magnetic field by multiple magnetic field detection units has been disclosed in many documents and will not be repeated here. The first detection module 130 also needs to detect the current, voltage, and temperature of each coil in the ampere-turn adjuster 100 for subsequent calculation and adjustment of the balance.

[0025] The magnetic field detection unit is used to detect the environmental magnetic field. The execution controller 120 includes a matching association module 121. The matching association module 121 responds to the matching request received by the communication module and generates a corresponding matching strategy based on the matching request. The matching strategy includes a number of matching instructions and calibration instructions. The corresponding control signal is generated according to the matching instruction to control the execution coil group 110 to generate a corresponding matching magnetic field, and a response magnetic field waveform is generated according to the change of the environmental magnetic field detected by the magnetic field detection unit. The calibration instruction is used to analyze the response magnetic field waveform to generate relative position coordinates. Assume that the coil current of the adjuster A (execution end) is I A , the number of turns is N A , the induced voltage detected by regulator B (response end) is V B , according to the law of electromagnetic induction:

[0026]

[0027] in:

[0028]

[0029] is the mutual inductance; u0 is the vacuum permeability, S is the cross-sectional area of ​​the coil, and d / θ is the relative distance between the two regulators / the angle between the axes (the coordinate parameter to be determined). The time-varying magnetic field response analysis algorithm is as follows:

[0030] The execution end sends a chirp signal (frequency linear sweep current), and the response end collects the induced voltage waveform, which is the response magnetic field waveform V B(t), the amplitude-frequency curve A(f), i.e., the amplitude-frequency characteristic curve of the induced voltage, is extracted by short-time Fourier transform (STFT). According to the mutual inductance model, A(f)∝1 / d, and the peak frequency offset is related to θ, the equation group is established:

[0031] d = k / max(A(f)), where max(A(f)) is the peak amplitude of the amplitude-frequency curve and is inversely proportional to the relative distance d. k is the device's inherent coefficient, calibrated using the "calibration command."

[0032] θ=atan2(V Bx , V By )-atan2(I Ax , I Ay ), V Bx , V By The x / y axis induced voltage component of the three-axis sensor at the response end is obtained by calculating the corresponding value through multiple magnetic field sensing units. Ax , I Ay The x / y-axis induced voltage components of the current output by the execution end are obtained through matching instructions. If the regulator is equipped with a three-axis magnetic field sensor, the two-dimensional coordinates are expanded to three dimensions. The responses to different matching and calibration instructions using the above detection formula can be continuously calculated to obtain precise relative position coordinates, that is, the relative position information between the responding end and the execution end can be obtained. The number of matching tasks is greater than the number of ampere-turn regulators 100 in the system, and each ampere-turn regulator 100 has at least one matching task with the matching identity of the execution end in each matching task group.

[0033] The magnetic field execution module 150 generates a magnetic field allocation sub-model according to the relative position coordinates, and the magnetic field allocation sub-model generates a corresponding allocation execution instruction according to the input target magnetic field information. The execution controller 120 generates a corresponding control signal according to the allocation execution instruction to control the execution coil group 110 to generate a modulated magnetic field. After the relative position coordinate system for each responding end has been constructed, the magnetic field execution module 150 constructs a new absolute position coordinate system based on the relative position relationship, using the center point as the coordinate center. The position of each device is then annotated in the absolute position coordinate system. The target magnetic field information, i.e., the magnetic field information that needs to be corrected, can then be directly used to construct a magnetic field intensity constraint model. Since the relative position relationship is known, the target magnetic field can be distributed using the constraint model as the constraint relationship. Since the interaction between magnetic fields is a linear superposition, the calculation logic is relatively simple. Once a concentration map of the target magnetic field is formed, each ampere-turn adjuster 100 is treated as a contributing point. The distribution of the concentration map is then incorporated into the distribution sub-model to obtain the source and target magnetic fields for each ampere-turn adjuster 100. This ensures that the superposition of the source and target magnetic fields in the absolute position coordinate system is closest to the concentration map. The corresponding allocation execution instructions for the target ampere-turn adjuster 100 are then generated based on the source and target magnetic fields. These instructions can be pre-stored in the control end's database and directly retrieved. In this way, theoretically, if the target magnetic field information is known, the target magnetic field can be obtained through superposition.

[0034] The matching strategy includes obtaining the benchmark information in the matching request and retrieving the corresponding matching task group from a pre-configured collaborative matching database based on the benchmark information. Each matching task group includes several matching tasks, and each matching task includes an execution end and at least one response end. When the matching identity of the ampere-turn adjuster 100 is the execution end, the corresponding matching instruction is executed. When the matching identity of the ampere-turn adjuster 100 is the response end, the corresponding calibration instruction is executed. The more matching tasks, the more accurate the results, in theory. The purpose of setting at least one execution end for each matching task is to ensure that the position calibration results are not deviated by hardware. It should be noted that the position calibration here refers to the relative position calibration generated by the theoretical magnetic field, rather than the actual relative position detection. The specific difference is that, for example, adjuster A can theoretically output a magnetic field strength of 400 units at standard power, but due to aging, it can only output a magnetic field strength of 390 units. However, when this is determined through the relative position relationship, the actual result is constructed based on the distance generated by the standard magnetic field as a reference. Therefore, the distance obtained in this way will be greater than the actual distance. In other words, the reduced output strength of adjuster A due to hardware aging will result in a longer relative distance. The actual distance is useless for the simulation model. On the contrary, using the actual distance as the standard will cause errors due to hardware problems. Therefore, the relative distance calculated in this way better reflects the superposition morphological relationship of the magnetic fields.

[0035] The execution controller 120 also includes a self-imbalance evaluation module 122, which is equipped with an imbalance detection strategy. The imbalance detection strategy includes obtaining the operating waveform of each execution coil and analyzing it to obtain the ampere-turn difference, phase offset, harmonic distortion rate, and abnormal waveform characteristic values. The imbalance evaluation value is calculated using a preset imbalance evaluation sub-algorithm. Based on the imbalance evaluation value, the corresponding imbalance correction instruction is retrieved from a preset imbalance correction table. The purpose of the imbalance correction instruction is to control the waveform of each execution coil, that is, to control the number of turns and current of each execution coil. Key parameter calculation: Ampere-turn difference (δNT)

[0036]

[0037] N: Current number of turns of the executing coil ("Adjust Coil" parameter); Imeas: Measured effective value of current; Irated: Rated current ("Cooperative Matching Database" preset value); Nb is the average number of turns of the executing coil.

[0038] Phase shift (Δφ) Δφ = φmeas - φref

[0039] φmeas: measured waveform fundamental phase (calculated by FFT);

[0040] φref: target phase (reference phase in matching strategy).

[0041] Harmonic distortion (THD)

[0042]

[0043] I n : nth harmonic current amplitude; I1: fundamental current amplitude (harmonic distortion rate), N is the total number of harmonic currents.

[0044] Abnormal waveform characteristic value (Ev)

[0045] Using sliding window kurtosis detection:

[0046]

[0047] μ is the mean current in the window, σ is the standard deviation of the current in the window, i(t) is the current waveform function, t is the number of acquisition windows, M is the total number of acquisition windows, and when Ev>TE (preset threshold), it is determined that there is an impact abnormal waveform (abnormal waveform characteristic value).

[0048] Imbalance evaluation value = w1·δNT+w2·|Δφ|+w3·THD+w4·Ev

[0049] Weight distribution: w1>w2>w3>w4 (ampere-turn difference is the core indicator, and the imbalance detection strategy is designed with priority); threshold mapping: the evaluation value is mapped to the interval [0,100], corresponding to the imbalance level. Different imbalance levels correspond to different adjustment amounts and adjustment constraints. When the level is high, spillover assistance is needed, and spillover terms and internalization terms can be generated. The internalization term means adjusting the corresponding imbalance ratio by adjusting the current and number of turns of other windings, reducing abnormal conditions and achieving balance. Therefore, the imbalance situation can be improved through the imbalance correction strategy, that is, determining the cause of the imbalance, adjusting the corresponding current and number of turns, and thus completing the imbalance correction without affecting the magnetic field output effect.

[0050] The execution controller 120 also includes an imbalance correction module 123. The imbalance correction module 123 generates corresponding control signals based on imbalance correction instructions to control the operation of the execution coil assembly 110. The imbalance correction instructions include a spillover compensation instruction item. When the spillover compensation instruction item in the imbalance correction instruction is not empty, the spillover compensation instruction is sent to the other ampere-turn regulators 100. When the ampere-turn regulator 100 receives the spillover compensation instruction, it corrects the corresponding control signal according to the spillover compensation instruction. Spillover correction is achieved by changing the magnetic field of other ampere-turn regulators 100 to provide room for imbalance correction of the ampere-turn regulator 100. Because the correction is based on the premise that the entire target magnetic field remains unchanged, internal correction changes the number of current turns of a certain winding. The corresponding changes in other windings are known quantities and can be achieved through selection. In contrast, spillover compensation involves increasing the output of other regulators to provide greater margin or provide adjustment space on the magnetic field vector to complete the correction. For example, when the output of a certain winding or regulator changes, how the output of other regulators changes can be calculated based on the magnetic field distribution superposition model, which will not be further described here.

[0051] In another embodiment, referring to Figure 3-4 As shown, a coordination system of an ampere-turn regulator 100 based on imbalance constraint includes the above-mentioned ampere-turn regulator 100 based on imbalance constraint, wherein the ampere-turn regulator 100 is provided in a plurality, and further includes a feedback execution subsystem 200. The feedback execution subsystem 200 includes a second detection module 210, a deviation calculation module 220, and a correction execution module 230. The second detection module 210 is configured with a plurality of magnetic field detection units in a target area. The second detection module 210 is used to detect the magnetic field in the target area to generate a feedback magnetic field. In theory, if the feedback magnetic field detected by the second detection module 210 is the same as the target magnetic field, the operation of the ampere-turn regulator 100 is completed. Therefore, the output of the coordinated ampere-turn regulator 100 is continuously adjusted to make the target magnetic field and the feedback magnetic field the same.

[0052] The deviation calculation module 220 compares the feedback magnetic field with the target magnetic field information to generate a measured magnetic field deviation. The correction execution module 230 is configured with a deviation evaluation algorithm for calculating the deviation vector corresponding to the measured magnetic field deviation. When the deviation vector meets the static correction condition, the static correction strategy is executed to generate a deviation allocation instruction to adjust the control signal of the corresponding target ampere-turn adjuster 100; when the deviation vector meets the dynamic correction condition, the dynamic correction strategy is executed to generate a position correction instruction to correct the relative position coordinates corresponding to the target ampere-turn adjuster 100.

[0053] The deviation evaluation algorithm includes respectively calculating the amplitude deviation, phase deviation, spatial gradient deviation and spatial uniformity deviation to construct a four-dimensional vector as the deviation vector. The static correction condition and the dynamic correction condition are respectively configured as the range trigger interval in the virtual coordinate model. When the four-dimensional vector falls into the corresponding range trigger interval, it is deemed to meet the corresponding correction condition. The deviation vector integrates the multi-dimensional features into a 5-dimensional deviation vector: Δ = [ΔBamp, ΔBgrad, Δφ, σB], where; σB is the standard deviation of the magnetic field detection point reflecting the spatial uniformity, that is, the standard deviation is calculated through different feedback data of multiple magnetic field detection units distributed around the detection point. The amplitude deviation is ΔBamp = |Blow| -Btarget, and the spatial gradient deviation is The phase deviation is Δφ = atan²(Bhigh,y,Bhigh,x) - φtarget. ΔBamp: Magnetic field amplitude deviation, reflecting the need for static correction. Blow: The low-frequency component of the wavelet decomposition, representing the magnetic field trend term, corresponds to the steady-state portion of the target magnetic field information. Btarget: The target magnetic field intensity, extracted based on the user-set target magnetic field information. ΔBgrad: The magnetic field gradient deviation, in T / m, reflects spatial inhomogeneity and corresponds to the relative position coordinate error. Bhigh: The high-frequency component of the wavelet decomposition, representing transient interference or spatial mutations, characterizes the interfering magnetic field. Δφ: The magnetic field phase deviation, in radians, reflects the phase offset parameter. φtarget: The target magnetic field phase, the ideal phase value, is determined by the waveform calibration requirements in the matching strategy. By analyzing the four-dimensional vector, the corresponding deviation is determined, and corrections are made accordingly. Static corrections are applied in scenarios where the deviation is generally small and caused by amplitude deviations. Dynamic corrections are applied in scenarios where the deviation is large and caused by directional or distributional deviations. By correcting the relative position and reconstructing the task, the target output standard is achieved.

[0054] The static correction strategy includes generating a target ampere-turn ring of the target ampere-turn regulator based on the deviation vector calculation, generating an adjustment constraint based on the deviation between the target ampere-turn ring and the current ampere-turn ring, and generating a corresponding adjustment current and adjustment turns based on the adjustment constraint to generate a control signal. The deviation vector can be matched to determine the target ampere-turn regulator, mainly based on the amplitude deviation, to find the corresponding target ampere-turn regulator, and then generate the target ampere-turn ring Ftarget by weighting the vector deviation. The deviation between the target ampere-turn ring and the current ampere-turn ring can be obtained as ΔF=F target-F meas. Using ΔF as a constraint, the total correction amount is decomposed into current correction ΔI and turns correction ΔN: I=λ·ΔF / Nwork,

[0055] ΔN = (1-λ)·ΔF / Iwork, where λ is a weight coefficient (0-1). Dynamic adjustment is made based on the coil's thermal state: when the coil temperature T > Tthreshold, the number of turns is prioritized (to reduce current heating); otherwise, the current is prioritized (for faster response). Nwork is the current number of working turns, and Iwork is the current operating current. Adjustments can be made using this constraint function.

[0056] The dynamic correction strategy includes a deviation operation module that retrieves an ideal magnetic field from a preset theoretical magnetic field model based on target magnetic field information, and analyzes the ideal magnetic field and the feedback magnetic field respectively through an analytical model to generate an ideal magnetic field fingerprint group and a feedback magnetic field fingerprint group for target ampere-turn adjustment. The principle of the analytical model is to obtain a number of fingerprint features by pre-identifying and splitting different magnetic fields, and store the fingerprint features in a database, and construct fingerprint maps corresponding to different magnetic field types based on different fingerprint features. The fingerprint map takes into account the differences in magnetic field features. If the fingerprint features of the magnetic field can meet the standard for uniquely identifying a certain type of magnetic field, this set of fingerprint features will be used as a magnetic field identification feature group, and the magnetic field identification feature group will be stored in the database. Therefore, the database is associated with a specific magnetic field type and an identification method corresponding to the magnetic field feature group, so that the magnetic field type can be determined by matching feature recognition. For the purpose, an ideal fingerprint group is constructed so that the magnetic field types of the two fingerprint groups can be determined. The dynamic correction strategy also constructs a magnetic field change data table. The purpose of the magnetic field change data table is to determine the reference position change relationship based on the two magnetic field types. After the reference change relationship is determined, the ideal magnetic field fingerprint group and the feedback magnetic field fingerprint group are associated according to the reference change relationship, and then the fingerprint deviation vector is solved for the associated result to obtain the deviation vector between the fingerprint features. Then, the feedback magnetic field fingerprint group is fitted according to the deviation vector so that each deviation vector can point to a corresponding absolute target adjustment amount of ampere-turn adjustment. The ampere-turn adjuster that needs to be adjusted in position and the corresponding target adjustment coordinates are determined by the weighted voting method. That is, the ideal magnetic field fingerprint group and the feedback magnetic field fingerprint group are fitted to generate ideal fitting coordinates, and the relative position coordinates of the target ampere-turn adjuster are adjusted according to the ideal fitting coordinates.

[0057] Of course, the above are only typical examples of the present invention. In addition, the present invention may also have many other specific implementation methods. Any technical solutions formed by equivalent replacement or equivalent transformation fall within the scope of protection required by the present invention.

Claims

1. An ampere-turn regulator based on imbalance constraint, characterized by: The system comprises an execution coil group, an execution controller, a first detection module, and a communication module. The execution coil group comprises a plurality of adjustment coils. The communication module is used to establish a communication connection with other ampere-turn adjusters. The execution controller is used to generate a control signal to control the corresponding execution coil group to generate an execution magnetic field. The first detection module comprises a magnetic field detection unit, which is used to detect an ambient magnetic field. The execution controller comprises a matching association module. The matching association module responds to a matching request received by the communication module and generates a corresponding matching strategy based on the matching request. The matching strategy includes a plurality of matching instructions and calibration instructions. The corresponding control signal is generated based on the matching instruction to control the execution coil group to generate a corresponding matching magnetic field. A response magnetic field waveform is generated based on the change in the ambient magnetic field detected by the magnetic field detection unit. The calibration instruction is used to analyze the response magnetic field waveform to generate relative position coordinates. The system comprises a magnetic field execution module, the magnetic field execution module generates a magnetic field allocation sub-model according to the relative position coordinates, the magnetic field allocation sub-model generates a corresponding allocation execution instruction according to the input target magnetic field information, and the execution controller generates a corresponding control signal according to the allocation execution instruction to control the execution coil group to generate a modulated magnetic field; The matching strategy includes obtaining the benchmark information in the matching request and retrieving the corresponding matching task group from a pre-configured collaborative matching database based on the benchmark information. Each matching task group includes several matching tasks, and each matching task includes an execution end and at least one response end. When the matching identity of the ampere-turn adjuster is the execution end, the corresponding matching instruction is executed; when the matching identity of the ampere-turn adjuster is the response end, the corresponding calibration instruction is executed.

2. The ampere-turn regulator based on imbalance constraint according to claim 1, characterized in that: The execution controller also includes a self-imbalance evaluation module, which is configured with an imbalance detection strategy. The imbalance detection strategy includes obtaining the working waveform of each execution coil and analyzing it to obtain the ampere-turn difference, phase offset, harmonic distortion rate and abnormal waveform characteristic value, and calculating the imbalance evaluation value through a preset imbalance evaluation sub-algorithm, and calling the corresponding imbalance correction instruction from a preset imbalance correction table according to the imbalance evaluation value.

3. The ampere-turn regulator based on imbalance constraint according to claim 2, characterized in that: The execution controller also includes an imbalance correction module, which generates a corresponding control signal according to the imbalance correction instruction to control the operation of the execution coil group. The imbalance correction instruction includes an overflow compensation instruction item. When the overflow compensation instruction item in the imbalance correction instruction is not empty, the overflow compensation instruction is sent to other ampere-turn regulators; when the ampere-turn regulator receives the overflow compensation instruction, it corrects the corresponding control signal according to the overflow compensation instruction.

4. The ampere-turn regulator based on imbalance constraint according to claim 3, characterized in that: The number of the matching tasks is greater than the number of ampere-turn regulators in the system, and each ampere-turn regulator has at least one matching task with a matching identity of an execution end in each matching task group.

5. An imbalance-constrained ampere-turn regulator coordination system, comprising the imbalance-constrained ampere-turn regulator according to any one of claims 1 to 4, characterized in that: The ampere-turn regulator is set to multiple and also includes a feedback execution subsystem, which includes a second detection module, a deviation calculation module and a correction execution module. The second detection module is configured with a plurality of magnetic field detection units in the target area. The second detection module is used to detect the magnetic field of the target area to generate a feedback magnetic field. The deviation calculation module compares the feedback magnetic field with the target magnetic field information to generate a measured magnetic field deviation. The correction execution module is configured with a deviation evaluation algorithm for calculating the deviation vector corresponding to the measured magnetic field deviation. When the deviation vector meets the static correction condition, the static correction strategy is executed to generate a deviation allocation instruction to adjust the control signal of the corresponding target ampere-turn regulator; when the deviation vector meets the dynamic correction condition, the dynamic correction strategy is executed to generate a position correction instruction to correct the relative position coordinates corresponding to the target ampere-turn regulator.

6. The ampere-turn regulator coordination system based on imbalance constraint according to claim 5, characterized in that: The deviation evaluation algorithm includes respectively calculating the amplitude deviation, phase deviation, spatial gradient deviation and spatial uniformity deviation to construct a four-dimensional vector as a deviation vector. The static correction condition and the dynamic correction condition are respectively configured as range trigger intervals in the virtual coordinate model. When the four-dimensional vector falls into the corresponding range trigger interval, it is deemed to meet the corresponding correction condition.

7. The ampere-turn regulator coordination system based on imbalance constraint according to claim 6, characterized in that: The static correction strategy includes generating a target ampere-turn ring of the target ampere-turn regulator according to the deviation vector calculation, generating an adjustment constraint according to the deviation between the target ampere-turn ring and the current ampere-turn ring, and generating a corresponding adjustment current and an adjustment number of turns according to the adjustment constraint to generate a control signal.

8. The ampere-turn regulator coordination system based on imbalance constraint according to claim 7, characterized in that: The dynamic correction strategy includes a deviation calculation module that retrieves an ideal magnetic field from a preset theoretical magnetic field model based on target magnetic field information, analyzes the ideal magnetic field and the feedback magnetic field through analytical models to generate an ideal magnetic field fingerprint group and a feedback magnetic field fingerprint group for target ampere-turn adjustment, fits the ideal magnetic field fingerprint group and the feedback magnetic field fingerprint group to generate ideal fitting coordinates, and adjusts the relative position coordinates of the target ampere-turn adjuster according to the ideal fitting coordinates.

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