A method, device and medium for suppressing high-frequency resonant switching noise

Abstract

The present invention relates to a method, device and medium for suppressing high-frequency resonant switching noise, wherein the method comprises the following steps: using a high-frequency current sensor to collect high-frequency switching noise signal segments of power electronic equipment; extracting the modal features of the high-frequency switching noise segments; initializing the initial value of a particle swarm optimization algorithm based on the modal features of the high-frequency switching noise segments, wherein the parameters optimized by the particle swarm optimization algorithm are suppression coil parameters, including coil self-inductance, resonant capacitance and damping resistance; optimizing the suppression coil parameters using a particle swarm optimization algorithm to determine the suppression coil design parameters; non-contactly putting the suppression coil on the live and neutral lines connecting the power supply and the power electronic equipment, and suppressing the high-frequency resonant switching noise using the suppression coil. Compared with the prior art, the present invention has the advantages of safety and effectiveness, simple structure, and high suppression efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of high-frequency noise suppression, and in particular to a method, device and medium for suppressing high-frequency resonant switching noise. Background Art

[0002] With the vigorous development of smart cities, the extensive application of power electronic equipment in urban cable tunnels has made the electromagnetic environment in the tunnel more complex, which may interfere with cable status monitoring. When the power electronic equipment in the cable tunnel LED lighting device is turned on and off at high speed, high du / dt and di / dt will be generated inside the device, and high-frequency resonance will occur with the system parasitic parameters through high-frequency coupling, generating strong switching noise. These high-frequency resonant switching noises may penetrate into the cable grounding system, threatening the reliability of the cable online partial discharge monitoring. It is necessary to effectively suppress the high-frequency switching noise generated by the LED lighting device in the tunnel.

[0003] Patent CN202111349614.7 proposes "a common-mode interference suppression circuit", which samples the resonant inductor in the switch resonant circuit and the voltage of the primary winding of the transformer, adds a voltage with the same frequency but opposite phase as the voltage at the midpoint of the switch tube unit to the common-mode suppression capacitor, and cancels the common-mode interference signal to eliminate the common-mode interference in the switch resonant circuit. This invention does not require a large inductor or capacitor in the switch resonant circuit, and does not increase the volume of the switch resonant circuit too much, but the impedance interaction between this suppression circuit and the conduction path will affect the suppression effect of high-frequency switching noise and reduce the attenuation performance of the suppression circuit at high frequencies.

[0004] Patent CN202111352935.2 proposes "a method and device for targeted active suppression of high-frequency switching oscillation current of variable frequency motors", which suppresses the switching oscillation current of variable frequency motor systems by frequency orientation and damping complementation through the principle of resonant matching, thereby achieving targeted suppression of the target switching oscillation current. The invention has a simple structure and low cost, and has a certain suppression effect on high-frequency switching noise, but the invention does not consider the impact of the device itself on the original system, and the suppression effect has room for improvement.

[0005] High-frequency switching noise is the result of high-frequency resonance between the high-speed switching of power devices in LED lighting devices and parasitic parameters to the ground. It is manifested as a large transient amplitude / transient energy in the current time domain waveform, and a significant resonance peak appears in the high frequency band in the spectrum. This resonant high-frequency noise interference will reduce the high-frequency attenuation performance of the filter, making it difficult to be effectively suppressed. Summary of the invention

[0006] The purpose of the present invention is to provide a method, device and medium for suppressing high-frequency resonant switching noise in order to address the problem that resonant high-frequency switching noise is difficult to be effectively suppressed. By constructing a non-contact anti-resonant matching circuit to equivalently increase the impedance of the high-frequency common-mode resonant frequency band, switching oscillation mode suppression is achieved, which is safe, convenient and efficient.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] According to a first aspect of the present invention, a method for suppressing high-frequency resonant switching noise is provided, the method comprising the following steps:

[0009] Use high-frequency current sensors to collect high-frequency switching noise signal fragments of power electronic equipment;

[0010] Extract the modal features of high-frequency switching noise fragments;

[0011] Initializing the initial value of the particle swarm optimization algorithm based on the modal characteristics of the high-frequency switching noise segment, the parameters optimized by the particle swarm optimization algorithm are the suppression coil parameters, including the coil self-inductance, the resonant capacitor and the damping resistor;

[0012] The particle swarm optimization algorithm is used to optimize the suppression coil parameters and determine the suppression coil design parameters;

[0013] The suppression coil is non-contactly put on the live wire and the neutral wire connecting the power supply and the power electronic equipment, and the suppression coil is used to suppress the high-frequency resonant switching noise.

[0014] The high-frequency current sensor is non-contactly inserted on the live wire and the neutral wire of the power electronic equipment to collect the high-frequency switching noise signal, and the high-frequency switching noise signal segment i is intercepted from the collected high-frequency switching noise signal sw (t), the power electronic equipment is a cable tunnel LED lighting device.

[0015] The modal characteristics of the high-frequency switching noise segment include the resonance frequency F1 and the damping ratio ξ1 on the power electronic equipment side.

[0016] The method for extracting the modal characteristics of high-frequency switching noise segments is a half-power bandwidth method.

[0017] The half-power bandwidth method is specifically as follows: analyzing the high-frequency switching noise signal segment i sw (t) Frequency domain curve, the frequency corresponding to the spectrum peak is taken as the resonant frequency F1 of the high-frequency switching noise power electronic equipment side, and the half-power area is defined as the signal spectrum amplitude greater than The area of ​​the spectrum peak, defining the half-power region The two frequencies corresponding to the peak are half-power frequencies f1 and f2, and the damping ratio ξ1 of the high-frequency switching noise signal segment is calculated by the half-power frequencies f1 and f2.

[0018] The initialization particle swarm optimization algorithm initial value is specifically: according to the matching of the resonant frequency F2 of the suppression coil with the resonant frequency F1 on the power electronic equipment side, and the matching of the damping ratio ξ2 introduced by the suppression coil with the damping ratio ξ1 on the power electronic equipment side, the particle swarm optimization algorithm initial value is obtained: the coil self-inductance initial value C0 of the suppression coil, the resonant capacitance initial value L0 and the damping resistance initial value R0.

[0019] According to the matching of the suppression coil resonant frequency F2 and the power electronic equipment side resonant frequency F1, the L0 and C0 of the suppression coil are determined using the following formula:

[0020] ,

[0021] Among them, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, N is the number of winding turns, and H is the height of the suppression coil;

[0022] According to the damping ratio ξ2 introduced by the suppression coil and matched with the damping ratio ξ1 on the system side, the resistance R0 of the suppression coil is determined by the following formula:

[0023] .

[0024] The particle swarm optimization algorithm is used to suppress the equivalent impedance Z introduced by the coil to the power electronic equipment side in the half-power region of the target suppression mode. reg (s) is the maximum objective function, and the parameters are optimized:

[0025] ,

[0026] ,

[0027] Wherein, F2 is the resonant frequency of the suppression coil, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, ξ2 is the damping ratio introduced by the suppression coil, and f1 and f2 are the left and right boundary point frequencies of the half-power region, respectively.

[0028] According to a second aspect of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the method described above is implemented when the processor executes the program.

[0029] According to a third aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method described above when executed by a processor.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] (1) Easy installation: The present invention can select different sizes according to the actual system. After the suppression coil is designed, it only needs to be put into the grounding loop to complete the suppression. For complex systems, a bayonet magnetic ring can be selected for installation.

[0032] (2) Safe and cheap: The present invention adopts a non-contact sleeve in the ground loop, which will not interfere with the normal operation of the system and will not affect the original hardware structure of the system. The cost of the magnetic ring material and the anti-resonance matching circuit is not high and has practical value.

[0033] (3) Efficient suppression: Compared with directly matching the modal frequency and damping characteristics, the target modal matching after optimization by the particle swarm optimization algorithm is more accurate, the introduced impedance is larger, and the suppression effect is more significant. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of the method of the present invention;

[0035] Figure 2 It is a schematic diagram of modal feature extraction of the present invention;

[0036] Figure 3 This is a schematic diagram of a high-frequency switching noise suppression system for an LED lighting device of the present invention;

[0037] Figure 4 This is an EMI spectrum diagram of a high-frequency signal in an LED lamp in an embodiment;

[0038] Figure 5 A comparison diagram of high-frequency switching noise suppression in an LED lamp in an embodiment, wherein (a) is a time domain waveform of high-frequency switching noise in an LED lamp, and (b) is a frequency domain waveform of high-frequency switching noise in an LED lamp;

[0039] Figure 6 1 is a comparison diagram of high-frequency switching noise suppression before and after algorithm optimization in an embodiment, wherein (a) is a comparison before and after suppression when the present invention does not use the particle swarm optimization algorithm for parameter optimization, and (b) is a comparison of suppression results before and after using the particle swarm optimization algorithm for parameter optimization. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0041] Example 1

[0042] This embodiment provides a method for suppressing high-frequency resonant switching noise of a cable tunnel LED lighting device. Figure 1 As shown, the method comprises the following steps:

[0043] S1, using high-frequency current sensors to collect high-frequency switching noise signal fragments of power electronic equipment.

[0044] The high-frequency current sensor is non-contactly inserted into the live wire and the neutral wire of the LED lighting device to collect the high-frequency switching noise signal, wherein the frequency of the high-frequency switching noise signal is greater than 1MHz, the duration is 2μs-5μs, and the signal characteristic is a pulse resonance signal with damped oscillation attenuation. The high-frequency switching noise signal segment i is intercepted from the collected high-frequency switching noise signal sw (t), the power electronic equipment is a cable tunnel LED lighting device.

[0045] S2, extract the modal features of high-frequency switching noise fragments.

[0046] The modal characteristics of the high-frequency switching noise segment include the resonant frequency F1 and the damping ratio ξ1 on the power electronic equipment side. The extraction method adopted in this embodiment is the half-power bandwidth method.

[0047] Analyze high frequency switching noise signal fragment i sw (t) Frequency domain curve, the frequency corresponding to the spectrum peak is taken as the resonant frequency F1 of the high-frequency switching noise power electronic equipment side, such as Figure 2 As shown, the half-power region is defined as the signal spectrum amplitude greater than The area of ​​the spectrum peak, defining the half-power region The two frequencies corresponding to the peak are half-power frequencies f1 and f2. The damping ratio ξ1 of the high-frequency switching noise signal segment is calculated by the half-power frequencies f1 and f2:

[0048]

[0049] S3, initializing the initial value of the particle swarm optimization algorithm based on the modal characteristics of the high-frequency switching noise segment. The parameters optimized by the particle swarm optimization algorithm are the suppression coil parameters, including the coil self-inductance, resonant capacitance and damping resistance.

[0050] According to the matching of the resonant frequency F2 of the suppression coil with the resonant frequency F1 on the power electronic equipment side, and the matching of the damping ratio ξ2 introduced by the suppression coil with the damping ratio ξ1 on the power electronic equipment side, the initial values ​​of the particle swarm optimization algorithm are obtained: the initial value C0 of the coil self-inductance of the suppression coil, the initial value L0 of the resonant capacitor, and the initial value R0 of the damping resistor. Specifically:

[0051] Use the following formula to determine the L0 and C0 of the suppression coil:

[0052] ,

[0053] Among them, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, N is the number of winding turns, and H is the height of the suppression coil.

[0054] According to the damping ratio ξ2 introduced by the suppression coil and matched with the damping ratio ξ1 on the system side, the resistance R0 of the suppression coil is determined by the following formula:

[0055]

[0056] S4, using particle swarm optimization algorithm to optimize the suppression coil parameters, determine the suppression coil design parameters C1, L 1、 R1.

[0057] The particle swarm optimization algorithm is used to suppress the equivalent impedance Z introduced by the coil to the power electronic equipment side in the half-power region of the target suppression mode. reg (s) is the maximum objective function, and the parameters are optimized:

[0058] ,

[0059] ,

[0060] Wherein, F2 is the resonant frequency of the suppression coil, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, ξ2 is the damping ratio introduced by the suppression coil, and f1 and f2 are the left and right boundary point frequencies of the half-power region, respectively.

[0061] After the particle swarm optimization algorithm is used to optimize the parameters, the relatively optimal design parameters of the coil self-inductance L1, the resonant capacitor C1, and the damping resistor R1 are determined.

[0062] S5, a suppression coil is non-contactly put on the live wire and the neutral wire connecting the power supply and the power electronic equipment, and the suppression coil is used to suppress the high-frequency resonant switching noise.

[0063] In summary, the present invention proposes a method for suppressing high-frequency switching noise of an LED lighting device based on resonant matching, which achieves switching noise modal suppression by constructing a non-contact anti-resonance matching circuit to equivalently increase the impedance of the high-frequency resonant frequency band. Compared with direct matching for suppression, the parameters obtained after considering the influence of the coil self-inductance and particle swarm optimization have better suppression effects. The proposed method suppresses high-frequency switching noise by non-contact, and has the advantages of safety, effectiveness, simple structure and low cost. In the experiment, the suppression coil was put on the neutral and live wires to suppress the high-frequency switching noise of the LED lighting device.

[0064] Example 2

[0065] This example verifies the feasibility and effectiveness of the method described in Example 1 through experiments. Figure 3 As shown in Figure 1, it consists of an AC power supply, a frequency converter, a current transformer, a suppression coil, and an LED lighting device. The basic parameters of the suppression coil are shown in Table 1. In order to evaluate the high-frequency switching noise suppression effect of the LED lighting device, a high-frequency current sensor is installed in the ground loop of the LED lighting device and the experimental data is recorded. The signal acquisition unit uses PICO 5444DMSO with a sampling frequency of 125 MS / s. The current probe in the experiment is a CP9030S high-frequency current probe (30 A / 100 MHz, accuracy of 1%) with a bandwidth of 50MHz.

[0066] Table 1 Basic parameters of suppression coil

[0067] <![CDATA[Resistor R2]]> 120Ω <![CDATA[Inductor L2]]> 12.3μH <![CDATA[Capacitor C2]]> 82.2pF <![CDATA[Mutual inductance M2]]> 1.37μH

[0068] Figure 4 This is the EMI spectrum diagram of high-frequency switching noise in LED lamps. It can be found that there are two modes near 5.3MHz and 13.8MHz in the LED lighting system. This experiment mainly suppresses the main mode of 5.3MHz with greater interference in the system.

[0069] Figure 5 Comparison results of high-frequency switching noise suppression experiment in LED lamps. Figure 5 As can be seen in (a), the high-frequency switching noise is significantly suppressed after the introduction of the suppression coil, and the oscillation decay is reduced from 8 cycles to 3-4 cycles, and the decay time is reduced by half. Figure 5 (b), the frequency domain peak is effectively suppressed. The experimental results show that the present invention can effectively suppress the high-frequency switching noise in the LED lighting device, significantly reduce the oscillation amplitude of the high-frequency switching noise in the LED lamp, reduce the interference to the monitoring equipment in the cable tunnel, and is conducive to improving the safety and reliability of the cable tunnel monitoring equipment. Figure 6 It can be found in (a) that even without the particle swarm optimization algorithm for parameter optimization, the present invention can also suppress noise. However, Figure 6 (b) It can be found that better suppression effect can be achieved after parameter optimization using particle swarm optimization algorithm.

[0070] Example 3

[0071] The electronic device of the present invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or loaded from a storage unit into a random access memory (RAM). In the RAM, various programs and data required for device operation can also be stored. The CPU, ROM and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0072] Multiple components in the device are connected to the I / O interface, including: input units, such as keyboards, mice, etc.; output units, such as various types of displays, speakers, etc.; storage units, such as disks, optical disks, etc.; and communication units, such as network cards, modems, wireless communication transceivers, etc. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunication networks.

[0073] The processing unit performs the various methods and processes described above, such as methods S1 to S5. For example, in some embodiments, methods S1 to S5 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via a ROM and / or a communication unit. When the computer program is loaded into the RAM and executed by the CPU, one or more steps of methods S1 to S5 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S1 to S5 in any other appropriate manner (e.g., by means of firmware).

[0074] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0075] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0076] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0077] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for suppressing high-frequency resonant switching noise, characterized in that: The method comprises the following steps: Use high-frequency current sensors to collect high-frequency switching noise signal fragments of power electronic equipment; Extract the modal features of high-frequency switching noise fragments; Initializing the initial value of the particle swarm optimization algorithm based on the modal characteristics of the high-frequency switching noise segment, the parameters optimized by the particle swarm optimization algorithm are the suppression coil parameters, including the coil self-inductance, the resonant capacitor and the damping resistor; The particle swarm optimization algorithm is used to optimize the suppression coil parameters and determine the suppression coil design parameters; The suppression coil is non-contactly put on the live wire and the neutral wire connecting the power supply and the power electronic equipment, and the suppression coil is used to suppress the high-frequency resonant switching noise; The particle swarm optimization algorithm is used to suppress the equivalent impedance Z introduced by the coil to the power electronic equipment side in the half-power region of the target suppression mode. reg (s) is the maximum objective function, and the parameters are optimized: ， ， Wherein, F2 is the resonant frequency of the suppression coil, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, ξ2 is the damping ratio introduced by the suppression coil, and f1 and f2 are the left and right boundary point frequencies of the half-power region, respectively.

2. The method for suppressing high-frequency resonant switching noise according to claim 1, characterized in that: The high-frequency current sensor is non-contactly inserted on the live wire and the neutral wire of the power electronic equipment to collect the high-frequency switching noise signal, and the high-frequency switching noise signal segment i is intercepted from the collected high-frequency switching noise signal sw (t), the power electronic equipment is a cable tunnel LED lighting device.

3. The method for suppressing high-frequency resonant switching noise according to claim 1, characterized in that: The modal characteristics of the high-frequency switching noise segment include the resonance frequency F1 and the damping ratio ξ1 on the power electronic equipment side.

4. The method for suppressing high-frequency resonant switching noise according to claim 3, characterized in that: The method for extracting the modal characteristics of high-frequency switching noise segments is a half-power bandwidth method.

5. The method for suppressing high-frequency resonant switching noise according to claim 4, characterized in that: The half-power bandwidth method is specifically as follows: analyzing the high-frequency switching noise signal segment i sw (t) Frequency domain curve, the frequency corresponding to the spectrum peak is taken as the resonant frequency F1 of the high-frequency switching noise power electronic equipment side, and the half-power area is defined as the signal spectrum amplitude greater than The area of ​​the spectrum peak, defining the half-power region The two frequencies corresponding to the peak are half-power frequencies f1 and f2, and the damping ratio ξ1 of the high-frequency switching noise signal segment is calculated by the half-power frequencies f1 and f2.

6. The method for suppressing high-frequency resonant switching noise according to claim 3, characterized in that: The initialization particle swarm optimization algorithm initial value is specifically: according to the matching of the resonant frequency F2 of the suppression coil with the resonant frequency F1 on the power electronic equipment side, and the matching of the damping ratio ξ2 introduced by the suppression coil with the damping ratio ξ1 on the power electronic equipment side, the particle swarm optimization algorithm initial value is obtained: the coil self-inductance initial value L0 of the suppression coil, the resonant capacitance initial value C0 and the damping resistance initial value R0.

7. The method for suppressing high-frequency resonant switching noise according to claim 6, characterized in that: According to the matching of the suppression coil resonant frequency F2 and the power electronic equipment side resonant frequency F1, the L0 and C0 of the suppression coil are determined using the following formula: ， Among them, μ0 is the magnetic permeability, a is the inner diameter of the suppression coil, b is the outer diameter of the suppression coil, h is the height of the suppression coil, N is the number of winding turns, and H is the unit of inductance; According to the damping ratio ξ2 introduced by the suppression coil and matched with the damping ratio ξ1 on the system side, the resistance R0 of the suppression coil is determined by the following formula: 。 8. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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