Damper control method, device, computer equipment, readable storage medium and program product

Abstract

This application relates to a damper control method, apparatus, computer equipment, computer-readable storage medium, and computer program product. The method includes: acquiring the support mass of a photovoltaic (PV) mounting bracket and the damper mass of a damper mounted on the PV bracket; performing data analysis on the support mass and damper mass to determine the characteristic stiffness and characteristic damping force for modal tuning of the vibration between the damper and the PV bracket; and controlling the damper to operate according to the characteristic stiffness and characteristic damping force. This method can improve vibration tuning performance.

Description

Technical Field

[0001] This application relates to the field of new energy technology, and in particular to a damper control method, device, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] With the rapid development of new energy technologies, photovoltaic power generation, as an important way to utilize renewable energy, has been widely used globally. As a key structure supporting photovoltaic modules, the stability and reliability of photovoltaic support systems directly affect the power generation efficiency and lifespan of the photovoltaic power generation system. In actual operation, photovoltaic support systems are subject to vibrations caused by external environmental factors such as wind and earthquakes. Excessive vibration can not only damage photovoltaic modules but also reduce power generation efficiency.

[0003] In traditional technologies, the matching design of dampers and photovoltaic (PV) supports is typically based on empirical formulas or simple theoretical calculations to determine damper parameters, such as stiffness and damping force. The approach usually involves first selecting a damper model based on the general characteristics of the PV support and referencing similar past projects, followed by fine-tuning through routine tests. However, relying on empirical formulas and simple theoretical calculations cannot accurately account for the complex vibration characteristics of PV supports under different environmental conditions. This leads to deviations between the selected damper parameters and actual requirements, resulting in poor vibration tuning performance. Summary of the Invention

[0004] Therefore, it is necessary to provide a damper control method, device, computer equipment, computer-readable storage medium, and computer program product that can improve vibration tuning effect in response to the above-mentioned technical problems.

[0005] In a first aspect, this application provides a damper control method, including:

[0006] Obtain the support mass of the photovoltaic bracket and the damper mass of the damper installed on the photovoltaic bracket;

[0007] Data analysis is performed on the mass of the support structure and the mass of the damper to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support structure.

[0008] The damper is controlled to operate according to the characteristic stiffness and the characteristic damping force.

[0009] In one embodiment, the step of performing data analysis on the mass of the support and the mass of the damper to determine the characteristic stiffness that enables vibration mode tuning between the damper and the photovoltaic support includes:

[0010] The characteristic frequency ratio between the damper and the photovoltaic support is determined based on the mass ratio of the damper mass to the support mass; the characteristic frequency ratio is inversely correlated with the mass ratio.

[0011] Obtain the damper characteristic frequency of the damper;

[0012] The characteristic stiffness of the damper is determined based on the damper mass and the damper characteristic frequency.

[0013] In one embodiment, obtaining the damper characteristic frequency of the damper includes:

[0014] Obtain the frequency estimate of the photovoltaic bracket;

[0015] The damper characteristic frequency of the damper is determined based on the ratio of the frequency estimate to the characteristic frequency ratio.

[0016] In one embodiment, obtaining the frequency estimate of the photovoltaic bracket includes:

[0017] Obtain the acceleration response information of the photovoltaic support structure;

[0018] A Fourier transform is performed on the acceleration response information to extract the frequency estimate of the photovoltaic bracket from the acceleration response information.

[0019] In one embodiment, the step of performing data analysis on the mass of the support and the mass of the damper to determine the characteristic damping force that enables vibration mode tuning between the damper and the photovoltaic support includes:

[0020] Obtain the actual damping ratio between the damper and the photovoltaic support;

[0021] The relative speed between the photovoltaic support and the damper is determined based on the speed of the photovoltaic support and the speed of the damper.

[0022] The characteristic damping force of the damper is determined based on the actual damping ratio and the relative velocity.

[0023] In one embodiment, obtaining the actual damping ratio between the damper and the photovoltaic support includes:

[0024] Obtain the support stiffness of the photovoltaic bracket;

[0025] The frequency ratio between the damper and the photovoltaic support is determined based on the mass ratio, the characteristic stiffness, and the support stiffness.

[0026] Based on the mass ratio and the frequency ratio, the characteristic damping ratio between the damper and the photovoltaic support is determined;

[0027] The actual damping ratio between the damper and the photovoltaic support is determined based on the characteristic damping ratio, the characteristic frequency of the damper, and the mass of the damper.

[0028] Secondly, this application also provides a damper control device, comprising:

[0029] The quality acquisition module is used to acquire the support mass of the photovoltaic support and the damper mass of the damper installed on the photovoltaic support.

[0030] The data analysis module is used to perform data analysis on the mass of the support and the mass of the damper to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support.

[0031] A damper control module is used to control the damper to operate according to the characteristic stiffness and the characteristic damping force.

[0032] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0033] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the method described above.

[0034] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described above.

[0035] The aforementioned damper control method, device, computer equipment, computer-readable storage medium, and computer program products, by acquiring the mass of the photovoltaic support structure and the damper mass mounted on it, can comprehensively grasp the key fundamental data related to the vibration of both, providing a basis for subsequent precise analysis. Data analysis of the support structure mass and damper mass allows for in-depth exploration of their intrinsic relationship and vibration characteristics, thereby accurately determining the characteristic stiffness and characteristic damping force for modal tuning of the vibration between the damper and the photovoltaic support structure, ensuring that the determined parameters can best adapt to actual operating conditions. Controlling the damper's operation according to the characteristic stiffness and characteristic damping force enables the damper to precisely dissipate the vibration energy of the photovoltaic support structure, effectively suppressing the vibration of the photovoltaic support structure under various environmental excitations, greatly reducing the risk of damage to photovoltaic modules due to vibration, ensuring the stable operation of the photovoltaic power generation system, and thus improving the vibration tuning effect. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is an application environment diagram of the damper control method in one embodiment;

[0038] Figure 2 This is a flowchart illustrating a damper control method in one embodiment;

[0039] Figure 3 This is a system structure diagram of a system implemented by the damper control method in one embodiment;

[0040] Figure 4 This is a flowchart illustrating the damper control method in another embodiment;

[0041] Figure 5 This is a structural block diagram of a damper control device in one embodiment;

[0042] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0044] The damper control method provided in this application embodiment can be applied to, for example, Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located on the cloud or other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. Specifically, during the damper control process, server 104 obtains the support mass of the photovoltaic bracket and the damper mass of the damper installed on the photovoltaic bracket from terminal 102; performs data analysis on the support mass and the damper mass to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic bracket; and controls the damper to work according to the characteristic stiffness and the characteristic damping force.

[0045] In one exemplary embodiment, such as Figure 2 As shown, a damper control method is provided, which is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps S202 to S206. Wherein:

[0046] Step S202: Obtain the support mass of the photovoltaic support and the damper mass of the damper installed on the photovoltaic support.

[0047] Photovoltaic (PV) mounting systems are specialized structures designed for placing, installing, and securing solar panels in a solar photovoltaic (PV) power generation system. They must bear the weight of the solar panels and adapt to varying regional climates, such as wind and snow loads, to ensure stable operation of the solar panels in diverse environments and achieve optimal solar absorption angles and efficiency. Mounting mass refers to the inherent mass of the PV mounting system itself, encompassing the total weight of all components within the structure, including support columns, beams, and connectors. The mass of these components affects the inertial characteristics of the PV mounting system, thus influencing its vibration under external forces. A damper is a device that provides resistance to motion and dissipates kinetic energy. In PV mounting systems, dampers primarily absorb and dissipate the vibration energy generated by the PV mounting system when subjected to external forces such as wind and earthquakes, thereby reducing the vibration amplitude and protecting the PV modules from damage. Damper mass, or the mass of the damper itself, includes the mass of its internal components, such as pistons, springs, and damping media. The damper mass affects its dynamic characteristics and is closely related to the vibration control effect of the PV mounting system.

[0048] Specifically, when performing vibration control operations related to a photovoltaic (PV) support system, the first step is to obtain the mass of the PV support itself and the mass of the dampers mounted on it. For the PV support mass, specialized weighing equipment, such as a large electronic scale, is required. Place the entire PV support on the weighing equipment, ensuring it is stable, and record the reading. This reading is the mass of the PV support. During weighing, ensure all detachable components are properly installed to guarantee the accuracy of the measurement. Similarly, a precise electronic scale can be used to obtain the damper mass. Carefully remove the damper from the PV support, place it on the scale, and read and record the reading after it stabilizes. This value is the damper mass. When disassembling and weighing the damper, avoid damaging its internal structure to prevent affecting subsequent use and analysis.

[0049] Step S204: Perform data analysis on the mass of the support and the mass of the damper to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support.

[0050] Data analysis refers to the processes of organizing, classifying, calculating, and reasoning about collected data to extract valuable information and patterns. In this step, the processing and analysis of data related to the mass of the photovoltaic support structure and the damper mass of the damper are crucial. Vibration modes refer to the specific vibration patterns and frequency characteristics exhibited by a structural system during vibration. Vibration mode tuning involves adjusting relevant parameters to match the vibration characteristics of the damper and the photovoltaic support system, enabling the damper to absorb and dissipate vibration energy most effectively during photovoltaic support vibration, thereby achieving optimal vibration control. Characteristic stiffness is the stiffness characteristic parameter required for damper to achieve vibration mode tuning between the damper and the photovoltaic support. Stiffness refers to an object's ability to resist deformation; characteristic stiffness reflects the damper's response and suppression capability to photovoltaic support vibration under specific vibration conditions. Characteristic damping force is also a key parameter for achieving vibration mode tuning; it represents the magnitude of the force generated by the damper during vibration that hinders motion. The magnitude of the characteristic damping force directly affects the efficiency of the damper in consuming vibration energy. A suitable characteristic damping force enables the damper to work better with the photovoltaic support and reduce vibration.

[0051] Specifically, after obtaining the support mass of the photovoltaic bracket and the damper mass of the damper, the next step is to perform data analysis on these two data to determine the characteristic stiffness and characteristic damping force for vibration mode tuning between the damper and the photovoltaic bracket.

[0052] Optionally, the server can determine the characteristic frequency ratio between the damper and the photovoltaic support based on the mass ratio of the damper's mass to the support's mass. The characteristic frequency ratio is inversely correlated with the mass ratio, allowing the server to obtain the damper's characteristic frequency. Based on the damper's mass and characteristic frequency, the server determines the damper's characteristic stiffness. Simultaneously, the server obtains the actual damping ratio between the damper and the photovoltaic support. Based on the photovoltaic support's velocity and the damper's velocity, the server determines the relative velocity between them. Based on the actual damping ratio and relative velocity, the server determines the damper's characteristic damping force.

[0053] Optionally, the server can also establish a dynamic model including the photovoltaic support and damper, which should accurately describe their interaction during vibration. In this model, the mass of the support and the mass of the damper are important input parameters. Then, relevant dynamic theories and calculation methods, such as modal analysis, are used to solve and analyze the model. By continuously adjusting the stiffness and damping force parameters of the damper in the model, the vibration response of the photovoltaic support and damper under different parameters is simulated. The simulation results are observed and analyzed to find the parameter combination that achieves the optimal matching state of the vibration modes of the photovoltaic support and damper. The stiffness value in this parameter combination is the characteristic stiffness, and the damping force value is the characteristic damping force. In practice, professional dynamic analysis software can also be used to improve the accuracy and efficiency of the analysis.

[0054] Step S206: Control the damper to work according to the characteristic stiffness and characteristic damping force.

[0055] In this context, "control" refers to adjusting and managing the damper's operating state according to predetermined goals and parameters, enabling it to function as required. "Operation" refers to the damper's task of absorbing and dissipating vibration energy within the photovoltaic support system, suppressing vibrations of the photovoltaic support through its own motion and mechanical action.

[0056] Specifically, after determining the characteristic stiffness and characteristic damping force for modal tuning of the damper and the photovoltaic support, the next step is to control the damper's operation according to these characteristic parameters. First, the internal structure or control system of the damper needs to be adjusted and configured accordingly based on the calculated characteristic stiffness and characteristic damping force. For example, the server can change the damper's stiffness by adjusting the corresponding magnetic field to match the actual stiffness with the characteristic stiffness. Alternatively, a semi-active control law can be used to determine the current output to the damper, ensuring that the generated actual damping force matches the characteristic damping force.

[0057] During the actual operation of the photovoltaic support system, the vibration of the photovoltaic support and the working status of the dampers can be monitored in real time. Vibration data of the photovoltaic support can be obtained by installing monitoring equipment such as vibration sensors, and compared with the expected vibration control effect. If the vibration is found to be unsatisfactory, the parameters of the dampers can be fine-tuned in a timely manner to ensure that the dampers can always effectively control the vibration of the photovoltaic support according to the characteristic stiffness and characteristic damping force.

[0058] The aforementioned damper control method, by acquiring the mass of the photovoltaic support structure and the damper mass mounted on it, can comprehensively grasp the key fundamental data related to the vibration of both, providing a basis for subsequent precise analysis. Data analysis of the support structure mass and damper mass allows for in-depth exploration of their intrinsic relationship and vibration characteristics, thereby accurately determining the characteristic stiffness and characteristic damping force for vibration mode tuning between the damper and the photovoltaic support structure. This ensures that the determined parameters can best adapt to actual operating conditions. Controlling the damper's operation according to the characteristic stiffness and characteristic damping force enables the damper to precisely dissipate the vibration energy of the photovoltaic support structure, effectively suppressing the vibration of the photovoltaic support structure under various environmental excitations, significantly reducing the risk of photovoltaic module damage due to vibration, ensuring the stable operation of the photovoltaic power generation system, and thus improving the vibration tuning effect.

[0059] In an exemplary embodiment, data analysis is performed on the support mass and damper mass to determine the characteristic stiffness that enables vibration mode tuning between the damper and the photovoltaic support. This includes: determining the characteristic frequency ratio between the damper and the photovoltaic support based on the mass ratio of the damper mass to the support mass; the characteristic frequency ratio is inversely correlated with the mass ratio; obtaining the damper characteristic frequency of the damper; and determining the characteristic stiffness of the damper based on the damper mass and the damper characteristic frequency.

[0060] The mass ratio is the ratio of the damper's mass to the photovoltaic support's mass, reflecting the relative relationship between their mass distributions. The characteristic frequency ratio is the ratio of the damper's natural frequencies to the photovoltaic support's natural frequencies, used to describe the degree of matching between vibration modes. The damper's characteristic frequency refers to the natural frequency at which the damper can absorb or suppress the target vibration energy to the greatest extent in the vibration control system. Its core objective is to achieve vibration mode tuning between the damper and the photovoltaic support, thereby improving the vibration reduction effect. The characteristic stiffness is the stiffness value required to achieve vibration mode tuning between the damper and the photovoltaic support, directly affecting the damper's vibration absorption efficiency.

[0061] Specifically, the server first needs to be based on the quality of the support frame. and damper mass The mass ratio is obtained by calculating using the following formula (1). According to the theoretical relationship (2), the characteristic frequency ratio is inversely proportional to the mass ratio, that is, the larger the mass ratio, the smaller the characteristic frequency ratio. From this, the characteristic frequency ratio of the damper and the photovoltaic support can be derived. Subsequently, the characteristic frequency of the damper is obtained. Combined with damper mass With characteristic frequency The characteristic stiffness is calculated using the following formula (3). .

[0062] (1)

[0063] (2)

[0064] (3)

[0065] In this embodiment, the target frequency range of the damper can be quickly located by analyzing the correlation between the mass ratio and the characteristic frequency ratio, avoiding blind debugging; the characteristic stiffness can be directly calculated by combining the characteristic frequency of the damper, which improves the scientificity and efficiency of parameter design.

[0066] In one exemplary embodiment, obtaining the damper characteristic frequency of the damper includes: obtaining a frequency estimate of the photovoltaic bracket; and determining the damper characteristic frequency of the damper based on the ratio of the frequency estimate to the characteristic frequency.

[0067] The frequency estimate is the vibration frequency of the photovoltaic support under external excitation (such as wind load), which is obtained through actual measurement or simulation.

[0068] Specifically, the server can obtain frequency estimates for photovoltaic brackets through experiments or simulations. Then, based on the frequency estimate, according to the following equation (4), and characteristic frequency ratio The ratio of the two values ​​determines the damper characteristic frequency of the damper. .

[0069] (4)

[0070] In this embodiment, the characteristic frequency of the damper is inferred from the estimated frequency of the support, avoiding the complexity of directly measuring the frequency of the damper. At the same time, the frequency matching between the damper and the support is ensured, thus improving the vibration control effect.

[0071] In one exemplary embodiment, obtaining a frequency estimate of a photovoltaic support includes: obtaining acceleration response information of the photovoltaic support; and performing a Fourier transform on the acceleration response information to extract a frequency estimate of the photovoltaic support from the acceleration response information.

[0072] Among them, the acceleration response information is the signal of the acceleration generated by the photovoltaic support under external excitation as a function of time. Fourier transform is a mathematical tool that converts a time-domain signal into a frequency-domain signal, used to extract the frequency components of the signal. The frequency estimate is the estimated value of the dominant vibration frequency of the support obtained through Fourier transform.

[0073] Specifically, the server can obtain the acceleration response information of the photovoltaic support structure. , for acceleration response information Perform a Fourier transform to obtain the acceleration response information. Extract the dominant frequency component and estimate the frequency value of the photovoltaic support in real time. .

[0074] In this embodiment, the actual vibration frequency of the support can be accurately obtained by measuring the acceleration signal and Fourier transform, providing a reliable basis for the subsequent design of damper parameters and avoiding the deviation between theoretical calculations and actual working conditions.

[0075] In one exemplary embodiment, data analysis is performed on the support mass and damper mass to determine the characteristic damping force that enables vibration mode tuning between the damper and the photovoltaic support, including: obtaining the actual damping ratio between the damper and the photovoltaic support; determining the relative velocity between the photovoltaic support and the damper based on the velocity of the photovoltaic support and the velocity of the damper; and determining the characteristic damping force of the damper based on the actual damping ratio and the relative velocity.

[0076] The actual damping ratio is the ratio of the actual damping coefficient to the critical damping coefficient in the damper and photovoltaic support system. Relative velocity is the difference in motion velocity between the damper and the photovoltaic support, reflecting the difference in their vibration displacement. The characteristic damping force is the damping force required to tune the vibration modes of the damper and photovoltaic support; it is determined by the actual damping ratio and the relative velocity.

[0077] Specifically, the server can first obtain the actual damping ratio between the damper and the photovoltaic support. According to the speed of the photovoltaic support and the speed of the damper The relative velocity between the two is determined by the following formula (5), based on the actual damping ratio. The target damping force of the damper is determined by the relative velocity. .

[0078] (5)

[0079] In this embodiment, by dynamically correlating the actual damping ratio and relative velocity, the damping force can be adjusted in real time to match the vibration state of the support, avoiding insufficient or excessive control caused by fixed damping force, and improving the adaptability and effectiveness of vibration suppression.

[0080] In an exemplary embodiment, obtaining the actual damping ratio between the damper and the photovoltaic support includes: obtaining the support stiffness of the photovoltaic support; determining the frequency ratio between the damper and the photovoltaic support based on the mass ratio, characteristic stiffness, and support stiffness; determining the characteristic damping ratio between the damper and the photovoltaic support based on the mass ratio and frequency ratio; and determining the actual damping ratio between the damper and the photovoltaic support based on the characteristic damping ratio, the characteristic frequency of the damper, and the mass of the damper.

[0081] Among them, the support stiffness is the ability of the photovoltaic support to resist deformation, which is determined by its materials and structure.

[0082] Specifically, the server can obtain the stiffness of the photovoltaic support structure. According to the following formula (6), combined with the mass ratio Characteristic stiffness and support stiffness Determine the frequency ratio between the damper and the photovoltaic support. According to the following formula (7), combined with the mass ratio and frequency ratio Determine the characteristic damping ratio between the damper and the photovoltaic support. According to the following formula (8), combined with the characteristic damping ratio Damper characteristic frequency and damper mass Determine the actual damping ratio between the damper and the photovoltaic support. .

[0083] (6)

[0084] (7)

[0085] (8)

[0086] in, It is a gain coefficient.

[0087] In this embodiment, the actual damping ratio can be accurately calculated through multi-parameter comprehensive analysis, overcoming the limitations of single-parameter estimation, providing a precise basis for the dynamic adjustment of characteristic damping force, and improving the reliability of vibration control.

[0088] In a specific embodiment, the basic idea of ​​a traditional TMD (Tuned Mass Damper) is to add a mass-spring-damping system (TMD) to the photovoltaic (PV) support. The natural frequency of this added system is "tuned" to the main frequency that the PV support needs to control (usually the first natural frequency of the structure in wind-induced structural vibration). When the PV support vibrates under external wind load excitation, the TMD starts to vibrate in the opposite direction to the vibration direction of the PV support, thereby "absorbing" the vibration energy of the PV support and dissipating this energy through its own damper. We simplify the PV support as a single-degree-of-freedom (SDOF) system, which together with the TMD constitutes a two-degree-of-freedom (2DOF) system. According to Newton's second law, the two equations are as follows:

[0089] (9)

[0090] (10)

[0091] in: , , For the mass, stiffness, and damping of the photovoltaic support structure; , , For the mass, stiffness, and damping of the TMD; , This refers to the relative displacement between the photovoltaic support structure and the TMD. It is the external force acting on the photovoltaic support.

[0092] The relevant dimensionless parameters of TMD are defined as follows: mass ratio:

[0093] The greater the mass, the better the control effect, and the value is usually between 0.01 and 0.05 (such as 1% to 5% of the effective mass).

[0094] The frequency ratio is expressed by the above formula (6).

[0095] in, It is the inherent frequency of the photovoltaic support structure. This is the inherent frequency of the TMD (Transient Damping Device). To achieve optimal vibration reduction, the frequency ratio needs to be precisely tuned. For undamped photovoltaic (PV) mounts, the characteristic frequency ratio is... .

[0096] Damping ratio: (11)

[0097] in, This is the damping ratio of the TMD itself. If... If it's too small, the TMD itself will swing violently, exceeding its travel limit; If the damping ratio is too high, the energy absorption effect deteriorates. For an undamped photovoltaic system under white noise excitation, the characteristic damping ratio is... (12)

[0098] This SA-TMD (Semi-Active Tuned Mass Damper) is primarily designed to overcome the fundamental limitations of traditional TMDs, which cannot cope with significant variations in photovoltaic support damping and frequency. The physical model is similar to that of a passive TMD, but the key parameter becomes time-varying, specifically the variable stiffness of the TMD. The damping adjustment is achieved by a magnetorheological damper damping adjustment unit; the variable damping of the TMD. It is achieved by a magnetorheological damper stiffness adjustment unit.

[0099] Specifically, in this embodiment, the stiffness of the TMD is adjusted in real time and independently. and damping to make its natural frequency The inherent frequency of tracking changes in photovoltaic mounting structures Maintaining a "frequency resonance" state to maximize energy transfer, while adjusting to the characteristic damping ratio in real time based on the current vibration energy level and the new frequency ratio to dissipate energy most effectively and prevent excessive TMD stroke.

[0100] The goal of the frequency tuning layer (stiffness control) is to ensure that the frequency of the TMD always tracks the frequency of the photovoltaic mounting system. The controller continuously analyzes sensor data (typically the acceleration response of the photovoltaic mounting system). Using Fourier transform, the dominant frequency component is extracted from the response signal to estimate the instantaneous frequency of the photovoltaic support in real time. .

[0101] This embodiment uses short-term Fourier transform to extract the dominant frequency component from the acceleration response information to obtain the frequency estimate of the photovoltaic support frequency. The characteristic stiffness is calculated based on the design theory of TMD.

[0102] Real-time calculated feature frequency ratio:

[0103] (2)

[0104] Therefore, the characteristic frequency of the damper is: (13)

[0105] Finally, the characteristic stiffness is: (3)

[0106] The server adjusts the corresponding magnetic field to match the stiffness of the damper with its characteristic stiffness.

[0107] After the stiffness is retuned, the damping needs to be adjusted accordingly to achieve the best energy dissipation effect. This invention uses the designed mass ratio. Compared to the frequency of real-time updates To calculate the characteristic damping ratio

[0108] (7)

[0109] The second item is a penalty for frequency detuning. It is a gain coefficient. When the frequency is perfectly tuned ( When ), the formula degenerates into the classical formula.

[0110] According to the definition of damping ratio: (8)

[0111] in, It is the characteristic frequency of the damper from the frequency tuning layer. Calculated... Subsequently, this damping force is generated by the MR damper (Magnetorheological damper). Since the MR damper essentially generates a Coulomb force related to the current, its mechanical behavior is complex and cannot be simply regarded as a viscous damper. Therefore, a more direct method is usually adopted. Characteristic damping force It can be represented as:

[0112] (14)

[0113] Then, a semi-active control law is used to determine the current output to the MR damper. This results in the actual force generated. as close as possible .

[0114] In this embodiment, current mapping is used, and a pre-calibrated inverse model is preset ( ), the desired damping force and current relative velocity Mapped to the current that needs to be applied :

[0115]

[0116] if and If the direction is opposite (i.e., the damper is required to provide energy), then it is forced (Minimum damped state) to comply with semi-active constraints.

[0117] This embodiment can be achieved through, as follows: Figure 3 The system structure shown is implemented as follows: wind load excites vibration of the support structure; a distributed state sensing system captures the vibration signal in real time and uploads it to the intelligent decision-making center. After analyzing the data, the decision-making center sends instructions to the corresponding SA-TMD actuators to adjust them to the characteristic damping state. The adjusted SA-TMD can accurately tune with the current vibration mode of the structure, maximizing the dissipation of vibration energy. The suppressed structural state is captured again by the sensing system, forming a closed-loop control, thereby achieving continuous, adaptive, and intelligent control of the vibration of the entire flexible photovoltaic support structure. Based on the previous modal analysis results, the SA-TMD actuators are distributed at the peak points of each vibration mode of the structure (such as the mid-span of the first-order vibration mode, and the 1 / 4 and 3 / 4 spans of the second-order vibration mode), forming a collaborative control network. Each actuator is independently controlled, achieving "targeted" suppression of multimodal vibrations. The energy module that powers the intelligent decision-making and execution system in the system preferentially uses a redundant power supply system powered by the photovoltaic power station to ensure the continuous and reliable operation of the control system.

[0118] In a specific embodiment, such as Figure 4 As shown, a damper control method is also provided, including:

[0119] Step S401: Obtain the support mass of the photovoltaic support and the damper mass of the damper installed on the photovoltaic support;

[0120] Step S402: Determine the characteristic frequency ratio between the damper and the photovoltaic support based on the mass ratio of the damper mass to the support mass;

[0121] Among them, the characteristic frequency ratio is inversely correlated with the quality ratio;

[0122] Step S403: Obtain the acceleration response information of the photovoltaic support;

[0123] Step S404: Perform a Fourier transform on the acceleration response information to extract the frequency estimate of the photovoltaic bracket from the acceleration response information;

[0124] Step S405: Determine the damper characteristic frequency of the damper based on the ratio of the frequency estimate to the characteristic frequency ratio.

[0125] Step S406: Determine the characteristic stiffness of the damper based on the damper mass and the damper characteristic frequency;

[0126] Step S407: Obtain the support stiffness of the photovoltaic support;

[0127] Step S408: Determine the frequency ratio between the damper and the photovoltaic support based on the mass ratio, characteristic stiffness, and support stiffness.

[0128] Step S409: Determine the characteristic damping ratio between the damper and the photovoltaic support based on the mass ratio and frequency ratio;

[0129] Step S410: Determine the actual damping ratio between the damper and the photovoltaic support based on the characteristic damping ratio, the characteristic frequency of the damper, and the mass of the damper.

[0130] Step S411: Determine the relative speed between the photovoltaic support and the damper based on the speed of the photovoltaic support and the speed of the damper;

[0131] Step S412: Determine the characteristic damping force of the damper based on the actual damping ratio and relative velocity;

[0132] Step S413: Control the damper to work according to the characteristic stiffness and characteristic damping force.

[0133] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0134] Based on the same inventive concept, this application also provides a damper control device for implementing the damper control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more damper control device embodiments provided below can be found in the limitations of the damper control method described above, and will not be repeated here.

[0135] In one exemplary embodiment, such as Figure 5 As shown, a damper control device 500 is provided, including: a mass acquisition module 502, a data analysis module 504, and a damper control module 506, wherein:

[0136] The quality acquisition module 502 is used to acquire the support mass of the photovoltaic support and the damper mass of the damper installed on the photovoltaic support.

[0137] Data analysis module 504 is used to perform data analysis on the support mass and damper mass to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support.

[0138] The damper control module 506 is used to control the operation of the damper according to the characteristic stiffness and characteristic damping force.

[0139] In one exemplary embodiment, the data analysis module 504 includes:

[0140] The characteristic frequency ratio determination unit is used to determine the characteristic frequency ratio between the damper and the photovoltaic support based on the mass ratio of the damper mass to the support mass; the characteristic frequency ratio is inversely correlated with the mass ratio.

[0141] The damper characteristic frequency acquisition unit is used to acquire the damper characteristic frequency of the damper.

[0142] The characteristic stiffness determination unit is used to determine the characteristic stiffness of the damper based on the damper mass and the damper characteristic frequency.

[0143] In one exemplary embodiment, the damper characteristic frequency acquisition unit includes:

[0144] Frequency estimation acquisition component, used to acquire frequency estimates of photovoltaic brackets;

[0145] The damper characteristic frequency determination component is used to determine the damper characteristic frequency of the damper based on the ratio of the frequency estimate to the characteristic frequency ratio.

[0146] In one exemplary embodiment, the frequency estimation component is specifically used for:

[0147] Obtain the acceleration response information of the photovoltaic support structure;

[0148] A Fourier transform is performed on the acceleration response information to extract the frequency estimate of the photovoltaic bracket from the acceleration response information.

[0149] In one exemplary embodiment, the data analysis module 504 further includes:

[0150] The actual damping ratio acquisition unit is used to acquire the actual damping ratio between the damper and the photovoltaic support.

[0151] The relative velocity determination unit is used to determine the relative velocity between the photovoltaic support and the damper based on the velocity of the photovoltaic support and the velocity of the damper.

[0152] The characteristic damping force determination unit is used to determine the characteristic damping force of the damper based on the actual damping ratio and relative velocity.

[0153] In one exemplary embodiment, the actual damping ratio acquisition unit is specifically used for:

[0154] Obtain the stiffness of the photovoltaic support structure;

[0155] The frequency ratio between the damper and the photovoltaic support is determined based on the mass ratio, characteristic stiffness, and support stiffness.

[0156] The characteristic damping ratio between the damper and the photovoltaic support is determined based on the mass ratio and frequency ratio.

[0157] The actual damping ratio between the damper and the photovoltaic support is determined based on the characteristic damping ratio, the characteristic frequency of the damper, and the mass of the damper.

[0158] Each module in the aforementioned damper control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0159] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a damper control method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0160] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0161] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described above.

[0162] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0163] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the method described above.

[0164] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0165] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0166] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0167] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A damper control method, characterized in that, The method includes: Obtain the support mass of the photovoltaic bracket and the damper mass of the damper installed on the photovoltaic bracket; Data analysis is performed on the mass of the support structure and the mass of the damper to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support structure. The damper is controlled to operate according to the characteristic stiffness and the characteristic damping force.

2. The method according to claim 1, characterized in that, The step of performing data analysis on the mass of the support frame and the mass of the damper to determine the characteristic stiffness that enables vibration mode tuning between the damper and the photovoltaic support frame includes: The characteristic frequency ratio between the damper and the photovoltaic support is determined based on the mass ratio of the damper mass to the support mass; the characteristic frequency ratio is inversely correlated with the mass ratio. Obtain the damper characteristic frequency of the damper; The characteristic stiffness of the damper is determined based on the damper mass and the damper characteristic frequency.

3. The method according to claim 2, characterized in that, The step of obtaining the damper characteristic frequency of the damper includes: Obtain the frequency estimate of the photovoltaic bracket; The damper characteristic frequency of the damper is determined based on the ratio of the frequency estimate to the characteristic frequency ratio.

4. The method according to claim 3, characterized in that, The process of obtaining the frequency estimate of the photovoltaic bracket includes: Obtain the acceleration response information of the photovoltaic support structure; A Fourier transform is performed on the acceleration response information to extract the frequency estimate of the photovoltaic bracket from the acceleration response information.

5. The method according to claim 1, characterized in that, The step of analyzing data on the mass of the support structure and the mass of the damper to determine the characteristic damping force that enables vibration mode tuning between the damper and the photovoltaic support structure includes: Obtain the actual damping ratio between the damper and the photovoltaic support; The relative speed between the photovoltaic support and the damper is determined based on the speed of the photovoltaic support and the speed of the damper. The characteristic damping force of the damper is determined based on the actual damping ratio and the relative velocity.

6. The method according to claim 5, characterized in that, Obtaining the actual damping ratio between the damper and the photovoltaic support includes: Obtain the support stiffness of the photovoltaic bracket; The frequency ratio between the damper and the photovoltaic support is determined based on the mass ratio, the characteristic stiffness, and the support stiffness. Based on the mass ratio and the frequency ratio, the characteristic damping ratio between the damper and the photovoltaic support is determined; The actual damping ratio between the damper and the photovoltaic support is determined based on the characteristic damping ratio, the characteristic frequency of the damper, and the mass of the damper.

7. A damper control device, characterized in that, The device includes: The quality acquisition module is used to acquire the support mass of the photovoltaic support and the damper mass of the damper installed on the photovoltaic support. The data analysis module is used to perform data analysis on the mass of the support and the mass of the damper to determine the characteristic stiffness and characteristic damping force that enable vibration mode tuning between the damper and the photovoltaic support. A damper control module is used to control the damper to operate according to the characteristic stiffness and the characteristic damping force.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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