A multi-impact magnet convex rail off-line debugging method based on total integral field residual ratio closed loop optimization

Abstract

This invention discloses an offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of the residual ratio of the total integral field. It relates to the field of pulse magnet magnetic field measurement and debugging technology. Specifically, the method involves arranging long integrating coils along the nominal beam track, penetrating multiple impact magnets, and synchronously acquiring the total integral field signal under the same triggering conditions. The ratio of the measured total integral field to the reference total integral field is calculated as the residual ratio to quantify the quality of the closed track. When the residual ratio exceeds a preset threshold, the system automatically calculates the excitation current and trigger delay correction based on the residual ratio, adjusts the driving parameters, and repeats the measurement to form a closed-loop optimization until the residual ratio meets the requirements. The current parameter combination is recorded as the offline debugging result. This invention achieves direct measurement and evaluation of multiple impact magnets operating in combination, improving the accuracy and efficiency of offline debugging.

Description

Technical Field

[0001] This invention belongs to the field of pulse magnet magnetic field measurement and debugging technology, specifically involving an offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of the total integral field residual ratio. Background Technology

[0002] The convex rail injection method enables beam injection into a storage ring. The basic principle is that electrons to be injected are deflected by a cutting magnet and enter a convex rail formed by impact magnets. Simultaneously, the impact magnets gradually decrease in size over a certain time, causing the convex rail to approach its equilibrium orbit. After several revolutions, the incident particles return to their initial injection point. By this time, the contraction of the convex rail is sufficient to allow the injected particles to avoid the cutting plate and be captured by the storage ring, thus achieving beam injection. If the closed orbit formed by multiple impact magnets has a large deviation, the beam will not be able to return to the storage ring orbit, causing beam oscillation or even beam loss. Therefore, the quality of the closed orbit formed by multiple impact magnets is particularly important.

[0003] Currently, the quality of a closed track formed by multiple impact magnets is evaluated by first measuring the pulsed magnetic field generated by each individual impact magnet, and then analyzing indicators such as the timing jitter and amplitude stability of its excitation pulse power supply. This method has the following shortcomings: First, the measurements of each individual magnet only provide the integrated field information of a single unit, which is insufficient to directly characterize the combined effect of the three impact magnets in actual operation. Second, triggering timing errors, installation deviations, pulse waveform differences, and integrator / sampling link errors among the multiple impact magnets will all contribute to the combined effect, and theoretical superposition after separate measurements cannot accurately reflect these coupling errors. Third, whether a local convex track meets the closure requirements essentially depends on the residual amount of the total deflection effect on the beam track, rather than the individual magnets meeting the specifications guaranteeing the overall system performance. Therefore, this method has a large error and cannot fully assess the quality of the closed track.

[0004] Therefore, there is an urgent need for an offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of the total integral field residual ratio to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide an offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio, which solves the technical problem in the prior art that the quality evaluation of the closed rail formed by multiple impact magnets is not direct enough and cannot fully reflect the combination error.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] An offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of the total integral field residual ratio includes:

[0008] Step 1: Arrange a long integrating coil along the nominal beam trajectory, so that it passes through the effective magnetic field region of multiple impact magnets in sequence. The lateral reference position of the coil in each magnet is consistent and located at the corresponding position of the storage beam design trajectory. The loop and bend of the coil end are arranged outside the edge field of the outermost impact magnet, and the effective length of the coil covers the entire measurement range from the first to the last impact magnet.

[0009] Step 2: Connect the long integrating coil to the integrator to complete the measurement link calibration. Drive multiple impact magnets to work simultaneously according to the set trigger conditions. Collect the total integrated field signal through the long integrating coil and the integrator, and process the output waveform of the integrator to calculate the measured total integrated field.

[0010] Step 3: Calculate the residual ratio based on the system design closure conditions and reference benchmarks, and compare the residual ratio with a preset threshold. If the residual ratio is greater than the preset threshold, automatically calculate the adjustment parameter correction amount based on the residual ratio, adjust the impact magnet drive parameters, and repeat Step 2 to form a closed-loop optimization. If the residual ratio is not greater than the preset threshold, determine that the local convex rail closure quality formed by multiple impact magnets meets the offline debugging requirements, and record the current parameter combination as the offline debugging result.

[0011] Furthermore, the arrangement rules of the long integral coil further include: when the design track coincides with the geometric center of the magnet, the coil is preferably arranged at the center of the magnetic gap, and the effective induction section of the coil maintains the same straight line reference in the drift section between multiple impact magnets, so as to avoid the introduction of additional area error due to lateral offset or torsion.

[0012] Furthermore, the long integrating coil arranged in step one is an integrated coil structure with coaxial transmission lines connected in sequence. Its effective induction section is designed to be continuous without any breaks. The number of turns, effective area, and overall length of the coil are calibrated and recorded based on the effective magnetic field area size of multiple impact magnets and the beam design trajectory parameters, serving as the basic calibration parameters for subsequent actual measurement of the total integrated field conversion.

[0013] Furthermore, the integrator is a passive integrator, consisting of a series resistor and a capacitor to ground. The resistance and capacitance values ​​are selected based on the pulse width of the impact magnet, so that the integration time constant is greater than a predetermined multiple of the pulse width of the impact magnet, thereby ensuring that the output voltage of the integrator maintains a linear proportional relationship with the average magnetic field in the coil.

[0014] Furthermore, the long integrating coil and integrator acquire the total integrated field signal, and the output waveform of the integrator is processed to calculate the measured total integrated field. The specific method is as follows:

[0015] The integrator output waveform is subjected to baseline removal, zero-point correction and smoothing filtering. The effective time window is automatically determined according to the pulse arrival time and the characteristic value of the integrator output is extracted. Then, the characteristic value is converted into the measured total integral field according to the pre-established calibration coefficient. The characteristic value is any one of the peak value, the average value within the time window or the amplitude at the reference time.

[0016] Furthermore, the debugging parameters include the trigger delay and pulse current peak value of the excitation power switch of the impulse magnet. The adjustment amount of the debugging parameters is calculated based on the product of the residual ratio and the preset debugging ratio coefficient, and respectively generates the excitation current adjustment amount and the trigger delay adjustment amount.

[0017] Furthermore, the residual ratio is calculated based on the system design closure conditions and reference benchmarks, specifically using the following method:

[0018] The reference total integral field is obtained by means of actual measurement or theoretical calculation. The ratio of the measured total integral field obtained in step two to the reference total integral field is defined as the residual ratio, which is used to characterize the quality of the closed track formed by multiple impact magnets in the combined working state due to the combined effects of triggering timing error, installation deviation, pulse waveform difference, integrator sampling link error and synthesis deflection error.

[0019] Furthermore, the preset threshold is determined based on the local convex rail closure error requirement of the storage ring, specifically corresponding to the preset allowable value of the beam track deviation. When the closure track requirement error of the storage ring to the convex rail system is less than or equal to the preset allowable value, the corresponding residual ratio threshold is determined based on the allowable value. When the residual ratio is less than or equal to the threshold, it is considered that the local convex rail closure quality in the current multi-impact magnet combination state meets the offline debugging requirements.

[0020] Furthermore, the specific steps for determining the preset threshold based on the preset allowable value of the beam trajectory deviation are as follows: Based on the design specifications of the storage ring, determine the maximum allowable deviation value of the beam trajectory deflection angle of the locally convex closed track, and use it as the preset allowable value of the beam trajectory deflection angle. Combining the linear correlation between the beam deflection angle and the integral field, convert the determined preset allowable value of the beam trajectory deflection angle into the corresponding allowable deviation value of the integral field. Obtain the sum of the integral fields generated by multiple impact magnets at the actual operating point, and use the ratio of the allowable deviation value of the integral field to the sum of the integral fields as the preset threshold of the residual ratio.

[0021] Furthermore, the closed-loop optimization in step three is an adaptive iterative correction process based on the residual ratio. Each time, the adjustment amount of the debugging parameters is calculated based on the residual ratio until the residual ratio is no greater than the preset threshold, thus completing the iterative optimization.

[0022] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0023] 1. This invention utilizes a long integrating coil to simultaneously measure the pulsed magnetic field formed by multiple impact magnets, and uses an integrator to obtain the sum of the integrated fields of multiple impact magnets. If the residual percentage of the obtained sum of integrated fields is less than a certain percentage, it is considered that the quality of the closed track formed by this combination of impact magnets meets the requirements. This invention can automatically optimize the adjustment parameters of impact magnets through an automatic adjustment closed-loop mechanism driven by the residual ratio, reduce the number of manual adjustments, and improve the efficiency of offline adjustment.

[0024] 2. This invention defines the ratio of the measured total integral field to the reference total integral field as the residual ratio, transforming the abstract closed-track quality into a clear quantitative indicator. When the residual ratio exceeds a preset threshold, the system automatically calculates the excitation current correction and trigger delay correction based on the residual ratio, adjusts the drive parameters, and repeats the measurement, forming a closed-loop optimization process of measurement-evaluation-correction-remeasurement. This mechanism can automatically iteratively approach the optimal parameter combination, significantly reducing the number of manual adjustments and improving the efficiency and accuracy of offline debugging. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 The figure shows the steps of an offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio according to the present invention.

[0027] Figure 2 A schematic diagram of a partial convex rail formed by the three impact magnets of the present invention is shown;

[0028] Figure 3 A block diagram of the device for measuring the pulsed magnetic field integral field formed by three impact magnets according to the present invention is shown.

[0029] Figure 4 A schematic diagram of the long integral coil of the present invention is shown;

[0030] Figure 5 The schematic diagram of the passive integrator of the present invention is shown;

[0031] Figure 6 The diagram shows the integrated waveform of the pulsed magnetic field generated by excitation of a single or multiple impact magnets according to the present invention.

[0032] Figure 7 The excitation pulse current waveform of the present invention is shown. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] like Figure 1 The method for offline commissioning of multiple impact magnet convex rails based on closed-loop optimization of the total integral field residual ratio, as shown, specifically includes the following steps:

[0035] Step 1: Arrange a long integrating coil along the nominal beam trajectory, so that it passes through the effective magnetic field region of multiple impact magnets in sequence. The lateral reference position of the coil in each magnet is consistent and located at the corresponding position of the storage beam design trajectory. The loop and bend of the coil end are arranged outside the edge field of the outermost impact magnet, and the effective length of the coil covers the entire measurement range from the first to the last impact magnet.

[0036] like Figure 3 and Figure 4 As shown, during the offline debugging phase, a long integrating coil needs to be arranged along the nominal beam trajectory direction of the storage ring injection section to simultaneously measure the total pulsed magnetic field generated by multiple impact magnets in combined operation. The specific implementation method is as follows:

[0037] The long integrating coil has an insulating base and copper conductors. It is designed with a multi-turn structure, with one turn per turn group. In practice, a single coil group (e.g., P1 or P11 group) is used to ensure clear signal and easy positioning. The total coil length is 400mm and width is 5mm, smaller than the inner diameter of the impulse magnet (34mm), allowing for flexible adjustment to the center of the magnetic gap during coil installation. The number of turns and area of ​​the coil should be pre-calibrated and recorded for coefficient conversion in subsequent magnetic field calculations.

[0038] The coil passes sequentially through the effective magnetic field regions of three impact magnets (K1, K2, and K3) along the beam direction. The lateral reference position of the coil should remain consistent across all magnets, preferably positioned corresponding to the designed track for storing the beam. If the designed track coincides with the geometric center of the magnet, the coil is positioned at the center of the magnetic gap to ensure that the measurement results match the actual magnetic field experienced by the beam.

[0039] When the coil crosses the drift segment between the impact magnets, the same straight-line reference should be maintained to avoid introducing additional area errors due to lateral offset or torsion. A laser collimator or mechanical positioning fixture can be used to assist in positioning to ensure that the coil axis coincides with the nominal beam trajectory.

[0040] The end loop and bend of the coil should be arranged outside the edge field region of the outermost impact magnet (K1 or K3) as much as possible to avoid generating additional induced voltage due to the cutting of stray magnetic flux at the end, which would affect the measurement accuracy.

[0041] The effective induction section of the coil should cover the entire measurement range from the first impact magnet to the last impact magnet, ensuring that the integrated field synthesis results formed by the three impact magnets on the reference track are obtained simultaneously in one measurement.

[0042] The two ends of the coil are connected to the passive integrator via a coaxial transmission line, forming a complete signal acquisition link. Before connection, the continuity of the coil and transmission line should be checked to ensure that the signal transmission path is unobstructed and free from interference.

[0043] After the setup is completed, the number of coil turns, area, effective length, installation position coordinates, lateral offset, and reference point information should be recorded in detail as the basis for subsequent measurement data processing and calibration coefficient calculation.

[0044] Step 2: Connect the long integrating coil to the integrator to complete the measurement link calibration. Drive multiple impact magnets to work simultaneously according to the set trigger conditions. Collect the total integrated field signal through the long integrating coil and the integrator, and process the output waveform of the integrator to calculate the measured total integrated field.

[0045] After arranging the long integrating coil, it needs to be correctly connected to the measurement link, the system calibrated, and multiple impact magnets driven to work synchronously under set trigger conditions. By acquiring and processing the total integrating field signal, the voltage value corresponding to the measured total integrating field is obtained, providing a basis for subsequent residual ratio calculation. The specific implementation method is as follows:

[0046] Coil and Integrator Connection: Connect the output of the long integrating coil to the input of the passive integrator via a low-noise coaxial cable (such as RG316 or equivalent). The passive integrator adopts an RC structure, consisting of a series resistor R and a capacitor C to ground. In this embodiment, the preferred resistor range is 5kΩ to 20kΩ, and the preferred capacitor range is 4.7nF to 20nF. This ensures that the integration time constant RC is greater than 10 times the pulse width of the impulse magnet (<5.6μs), thereby guaranteeing a linear relationship between the integrator output voltage and the average magnetic field within the coil. ,in This indicates the integrator output voltage. This represents the average magnetic flux density within the coil area. Indicates the number of turns of the coil. This represents the geometric area enclosed by the single-turn coil. Connect the output of the passive integrator to an input channel of the oscilloscope (e.g., CH1) via another coaxial cable. Simultaneously, the original induced electromotive force of the long integrating coil... Connect to another channel (such as CH2), where For monitoring and verification, high-bandwidth, high-sampling-rate oscilloscopes are selected to ensure complete recording of signal details.

[0047] Connect the excitation power trigger output terminals of the three impact magnets to the same synchronous trigger module, and then have the module output a unified trigger signal to the external trigger input terminal of the oscilloscope to ensure that the three magnets work simultaneously under a unified time base and are precisely synchronized with the acquisition time of the oscilloscope.

[0048] Without applying excitation current, start the oscilloscope and acquire a baseline signal for a period of time (e.g., 10 pulse cycles). Calculate the baseline average value and noise standard deviation of the integrator output channel to evaluate the system noise level and zero-point stability.

[0049] Use a standard signal generator (such as a square wave or sine wave) to connect to the integrator input and directly to the oscilloscope channel to verify whether the gain, bias and delay of each channel are consistent. If necessary, perform oscilloscope channel calibration.

[0050] The actual time constant RC of the integrator can be measured using the step response method. Input a fast rising edge signal, record the output waveform of the integrator, and obtain the actual RC value by fitting an exponential curve, ensuring that the deviation from the design value is within the allowable range.

[0051] Observe the monitoring signals (if any) of the excitation current of the three impulse magnets or the output of the integrator using an oscilloscope. Confirm that their delays are consistent with the trigger signal. If there is a deviation, the trigger delay parameters should be adjusted.

[0052] Set the triggering conditions and synchronous drive. Based on the system design, set the operating parameters of the excitation power supplies for the three impact magnets, including the peak excitation current, pulse waveform (such as half-sine), and trigger delay. Initial parameters can be referenced from design values ​​or previous single-unit measurement results.

[0053] A unified TTL trigger signal is output through the synchronous trigger module, simultaneously triggering three impulse magnet power supplies and an oscilloscope to acquire data. This ensures that the oscilloscope's acquisition time window covers the entire pulse process, thus completely recording the integrator output. Waveform and .

[0054] After each trigger, the oscilloscope automatically acquires and stores the original induced electromotive force of the long integrating coil. and passive integrator output voltage The waveform data can be formatted as a CSV file, containing three columns: time series, coil voltage series, and integrator voltage series. To ensure measurement reliability, the same parameter combination should be repeatedly sampled (e.g., 10 times), and all waveform files should be saved. Figure 6 and Figure 7 As shown, this is for subsequent averaging or repeatability analysis.

[0055] Import the CSV file exported from the oscilloscope into a data processing program (such as MATLAB). The program reads the induced voltage and electromotive force of the coil at time t. and passive integrator output voltage Take a certain percentage (e.g., the first 10%) of data points before triggering, and calculate the average value of the integrator voltage as the baseline. The baseline is then subtracted from the entire integrator voltage waveform to obtain the corrected integrator output voltage. The corrected integrator voltage is then subjected to a moving average filter (the window width is set according to the sampling rate, such as 11 points) to obtain a smooth waveform. Utilizing the original induced electromotive force of the coil Identify the effective pulse range. Set a threshold (e.g., 5 times the baseline noise standard deviation), and find the index where the signal first exceeds the threshold as the pulse start point. The last index below the threshold is taken as the pulse end point. In the time window Internally, the feature values ​​output by the integrator are extracted according to the preset mode:

[0056] Peak mode: Takes the maximum absolute value of the integrator voltage within this range;

[0057] Mean value mode: Takes the average value of the absolute values ​​of the integrator voltage within the interval;

[0058] Reference time mode: Takes the amplitude at a fixed time (such as the midpoint of the pulse) within the interval.

[0059] This characteristic value is the voltage value corresponding to the measured total integrated field, denoted as the measured total integrated field. (The voltage signal corresponding to the sum of the integrated fields generated by the three impact magnets).

[0060] Repeat the above process for multiple acquisitions under the same parameter combination, calculate the average measured total integral field and its standard deviation, and use it for subsequent residual ratio calculation and determination.

[0061] Record the key parameters of each measurement (such as trigger delay, current set value, measured total integral field, etc.) in the experimental log or data table.

[0062] Step 3: Calculate the residual ratio based on the system design closure conditions and reference benchmarks, and compare the residual ratio with a preset threshold. If the residual ratio is greater than the preset threshold, automatically calculate the adjustment parameter correction amount based on the residual ratio, adjust the impact magnet drive parameters, and repeat Step 2 to form a closed-loop optimization. If the residual ratio is not greater than the preset threshold, determine that the local convex rail closure quality formed by multiple impact magnets meets the offline debugging requirements, and record the current parameter combination as the offline debugging result.

[0063] After completing step two and obtaining the measured total integral field, the combined performance of multiple impact magnets needs to be evaluated based on the local convex rail closure condition of the storage ring. Closed-loop optimization and debugging are then used to gradually bring the total integral field closer to the target value until the design requirements are met. The specific implementation method is as follows:

[0064] To determine the target deflection integral field and the reference benchmark, and obtain the reference total integral field, the reference value of the total integral field of the three impact magnets under independent maximum excitation conditions must be determined in advance before commissioning or during the first measurement. It can be obtained in one of the following two ways:

[0065] Experimental method: Each impact magnet was individually excited to its design maximum current (e.g., the excitation current of K1, K2, and K3), and the integrated field voltage of each magnet was measured using a long integrating coil and a passive integrator. , , And calculate the algebraic sum. ,

[0066] Theoretical calculation method: Based on the magnet design parameters (integral field, length, etc.) and calibration coefficients, the formula is used to obtain... By reverse-engineering the theoretical maximum voltage and summing the results, we obtain... Where θ is the deflection angle, L is the length of the impact magnet, and W is the injected beam energy.

[0067] like Figure 2 As shown, according to the local convex rail closure condition, the convex rail is formed by three impact magnets, which provide deflection angles θ1, θ2, and θ3 to the stored beam, respectively. For the HALF injection system, the three impact magnets are required to satisfy the following condition at any time: The total deflection angle is zero, and the corresponding target deflection integral field is 0T・m (corresponding to a voltage of 0V).

[0068] The residual ratio is used to quantify the degree of deviation from the actual closed orbit; the residual ratio is defined as... , calculate Compare with the residual ratio threshold required by the system design, such as the residual ratio threshold corresponding to the HALF injection system. .like If the current combination state meets the requirements for offline debugging; if If so, the parameters need to be corrected and the measurement repeated.

[0069] When the residual ratio exceeds the threshold, according to The system automatically calculates correction values ​​for the debugging parameters and adjusts the driving parameters of the impact magnet to gradually approach the target closed state. The correction values ​​include the peak excitation current and the trigger delay, and their calculation method is as follows:

[0070] Excitation current correction :

[0071] ;

[0072] Where i = 1, 2, 3, corresponding to three magnets. The excitation current adjustment proportional coefficient is pre-calibrated based on the power supply response characteristics. After correction, the excitation current setting value of the i-th magnet is updated to... The sign is adjusted according to the actual polarity direction;

[0073] Trigger delay correction amount:

[0074] ;

[0075] in The trigger delay adjustment coefficient is used to adjust the trigger timing of each magnet's excitation power supply switch, thereby optimizing the timing coordination between the pulses of the three magnets. After correction, the trigger delay setting value of the i-th magnet is updated to... ;

[0076] The sign (positive or negative) of the correction amount needs to be determined based on the actual deviation direction. If the measured total integral field is positive (indicating that the total deflection direction is biased to one side), it may be necessary to reduce the current of a certain magnet or adjust the delay to make the sum approach zero. The specific polarity relationship should be clarified through system analysis before debugging.

[0077] Update the driver parameters ( , Reload the excitation power supply of the impact magnet, repeat step two, and recalculate the new residual ratio. Compare the new residual ratio with the threshold. If it is still greater than the threshold, continue to calculate the correction amount and adjust the parameters to form a closed-loop iterative optimization process until the residual ratio meets the requirements or reaches the preset maximum number of iterations.

[0078] The residual ratio calculated after a certain measurement When the current local convex rail closure quality formed by the three impact magnets is determined to meet the offline debugging requirements, all key parameter combinations in this state are recorded, including: the excitation current setting value of the three impact magnets, the trigger delay setting value, the measured total integral field and residual ratio, the measurement date, ambient temperature, operator and other auxiliary information. These parameters are used as reference benchmarks for subsequent online operation and can be archived to the debugging database for future maintenance or reproduction.

[0079] If the residual ratio diverges or fails to converge for a long time during the iteration process, the measurement link, trigger synchronization, power supply status, etc. should be checked to see if they are normal. If necessary, the coil arrangement calibration in step one and the link check in step two should be repeated.

[0080] Set a maximum number of iterations (e.g., 20) and a limit on the range of parameter changes to prevent equipment damage or parameters from exceeding safe limits due to excessive correction.

[0081] Through the above closed-loop optimization process, offline debugging of multiple impact magnets in combination can be completed efficiently and accurately, ensuring that the closure quality of the local convex rail meets the requirements of the storage ring injection.

[0082] The above formulas are all dimensionless calculations, and the preset parameters in the formulas should be set by those skilled in the art according to the actual situation.

[0083] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

[0084] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for offline debugging of multiple impact magnet convex rails based on closed-loop optimization of the total integral field residual ratio, characterized in that, include: Step 1: Arrange a long integrating coil along the nominal beam trajectory, so that it passes through the effective magnetic field region of multiple impact magnets in sequence. The lateral reference position of the coil in each magnet is consistent and located at the corresponding position of the storage beam design trajectory. The loop and bend of the coil end are arranged outside the edge field of the outermost impact magnet, and the effective length of the coil covers the entire measurement range from the first to the last impact magnet. Step 2: Connect the long integrating coil to the integrator to complete the measurement link calibration. Drive multiple impact magnets to work simultaneously according to the set trigger conditions. Collect the total integrated field signal through the long integrating coil and the integrator, and process the output waveform of the integrator to calculate the measured total integrated field. Step 3: Calculate the residual ratio based on the system design closure conditions and reference benchmark. If the residual ratio is greater than the preset threshold, automatically calculate the adjustment amount of the debugging parameters based on the residual ratio and adjust the driving parameters of the impact magnets, then repeat step 2 to form a closed-loop optimization. If the residual ratio is not greater than the preset threshold, it is determined that the closure quality of the local convex rail formed by multiple impact magnets meets the offline debugging requirements, and the current parameter combination is recorded as the offline debugging result. Based on the system design closure conditions and reference benchmark, the residual ratio is calculated. The specific method is as follows: the reference total integral field is obtained by actual measurement or theoretical calculation. The ratio of the actual total integral field obtained in step two to the reference total integral field is defined as the residual ratio, which is used to characterize the quality of the closed track formed by multiple impact magnets in the combined working state due to the combined effects of triggering timing error, installation deviation, pulse waveform difference, integrator sampling link error and synthesis deflection error.

2. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio as described in claim 1, characterized in that, The arrangement rules of the long integral coil further include: when the design track coincides with the geometric center of the magnet, the coil is arranged at the center of the magnetic gap, and the effective induction section of the coil maintains the same straight line reference in the drift section between multiple impact magnets, so as to avoid the introduction of additional area error due to lateral offset or torsion.

3. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio as described in claim 1, characterized in that, The long integrating coil arranged in step one is an integrated coil structure with coaxial transmission lines connected in sequence. Its effective induction section is designed to be continuous without any breaks. The number of turns, effective area, and overall length of the coil are calibrated and recorded according to the effective magnetic field area size of multiple impact magnets and the beam design trajectory parameters, which serve as the basic calibration parameters for subsequent actual measurement of the total integrated field conversion.

4. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio as described in claim 1, characterized in that, The integrator is a passive integrator, consisting of a series resistor and a capacitor to ground. Its resistance and capacitance values ​​are selected based on the pulse width of the impact magnet, so that the integration time constant is greater than a predetermined multiple of the pulse width of the impact magnet, thereby ensuring that the output voltage of the integrator maintains a linear proportional relationship with the average magnetic field in the coil.

5. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio according to claim 1, characterized in that, The long integrating coil and integrator acquire the total integrated field signal, and the output waveform of the integrator is processed to calculate the measured total integrated field. The specific method is as follows: The integrator output waveform is subjected to baseline removal, zero-point correction and smoothing filtering. The effective time window is automatically determined according to the pulse arrival time and the characteristic value of the integrator output is extracted. Then, the characteristic value is converted into the measured total integral field according to the pre-established calibration coefficient. The characteristic value is any one of the peak value, the average value within the time window or the amplitude at the reference time.

6. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio as described in claim 1, characterized in that, The debugging parameters include the trigger delay and peak pulse current of the excitation power switch of the impulse magnet. The adjustment amount of the debugging parameters is calculated based on the product of the residual ratio and the preset debugging ratio coefficient, and correspondingly generates the excitation current adjustment amount and the trigger delay adjustment amount.

7. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio as described in claim 1, characterized in that, The preset threshold is determined based on the local convex rail closure error requirement of the storage ring, specifically corresponding to the preset allowable value of the beam track deviation. When the closure track requirement error of the storage ring to the convex rail system is less than or equal to the preset allowable value, the corresponding residual ratio threshold is determined based on the allowable value. When the residual ratio is less than or equal to the threshold, it is considered that the local convex rail closure quality under the current multi-impact magnet combination state meets the offline debugging requirements.

8. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio according to claim 7, characterized in that, The specific steps for determining the preset threshold based on the preset allowable value of the beam trajectory deviation are as follows: Based on the design specifications of the storage ring, determine the maximum deviation value of the beam trajectory deflection angle allowed by the locally convex closed trajectory, and use it as the preset allowable value of the beam trajectory deflection angle. Combining the linear correlation between the beam deflection angle and the integral field, convert the determined preset allowable value of the beam trajectory deflection angle into the corresponding allowable deviation value of the integral field. The sum of the integral fields generated by multiple impact magnets at the actual operating point is obtained, and the ratio of the allowable deviation value of the integral field to the sum of the integral fields is used as the preset threshold of the residual ratio.

9. The offline debugging method for multiple impact magnet convex rails based on closed-loop optimization of total integral field residual ratio according to claim 1, characterized in that, The closed-loop optimization in step three is an adaptive iterative correction process based on the residual ratio. Each time, the adjustment amount of the debugging parameters is calculated based on the residual ratio until the residual ratio is no greater than the preset threshold, and the iterative optimization is completed.

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