Optimal configuration method of magneto-rheological intelligent damper for active vibration suppression of large mechanical structure

Abstract

The invention relates to the technical field of vibration control. The magneto-rheological intelligent damper optimal configuration method for active vibration suppression of the large mechanical structure comprises the steps that vibration mode and damping demand quantitative analysis processing is conducted on a target mechanical structure, and a vibration energy distribution map is generated; based on the vibration energy distribution map, damper cluster topological optimization configuration processing is carried out, and a damper layout scheme is generated; carrying out oscillation synchronization control strategy implementation processing based on the damper layout scheme, and generating a real-time phase and amplitude instruction; cooperative interference suppression processing between dampers is carried out on the real-time phase and amplitude instruction, and a cooperative control signal is generated; and on the basis of the action effect of the coordination control signal, online self-adaptive optimization processing is carried out, and iteratively updated control parameters are generated, so that the technical effects of improving the multi-damper coordination control precision, reducing vibration suppression efficiency attenuation and avoiding local vibration energy residue are achieved.

Description

Technical Field

[0001] The present invention relates to the field of vibration control technology, and in particular to a method for optimizing the configuration of magnetorheological intelligent dampers for active vibration suppression of large mechanical structures. Background Art

[0002] As industrial equipment evolves toward larger and higher-precision components, controlling the vibration of large mechanical structures under complex dynamic loads has become a core technology for ensuring safe operation. Active vibration suppression significantly extends equipment life and improves operational accuracy by offsetting structural vibration energy in real time, making it a key supporting technology in the manufacturing of major equipment.

[0003] However, the traditional magnetorheological damper vibration suppression method has the following problems in the application of large mechanical structures: the fixed phase difference strategy of multiple dampers causes the output vectors to cancel each other out or even aggravate the vibration; the degradation of structural stiffness and the time-varying load spectrum cause the long-term suppression efficiency to decay; and the lack of a spatial conflict quantitative model for the interference of multiple dampers' force fields leads to local vibration residual. Summary of the Invention

[0004] Based on this, it is necessary to provide an optimized configuration method for magnetorheological intelligent dampers for active vibration suppression of large mechanical structures to address the above technical problems, so as to achieve the technical effects of improving the collaborative control accuracy of multiple dampers, reducing the attenuation of vibration suppression efficiency, and avoiding local vibration energy residue.

[0005] In a first aspect, the present application provides a method for optimizing the configuration of magnetorheological intelligent dampers for active vibration suppression of large mechanical structures, the method comprising:

[0006] Quantitatively analyze the vibration modes and damping requirements of the target mechanical structure to generate a vibration energy distribution map;

[0007] Based on the vibration energy distribution map, the damper cluster topology optimization configuration is performed to generate the damper layout plan;

[0008] Based on the damper layout scheme, the oscillation synchronization control strategy is implemented to generate real-time phase and amplitude commands;

[0009] The real-time phase and amplitude commands are processed to suppress the coordinated interference between dampers and generate coordinated control signals;

[0010] Based on the effect of the coordinated control signal, online adaptive optimization processing is performed to generate iteratively updated control parameters.

[0011] Furthermore, the real-time phase and amplitude commands are subjected to collaborative interference suppression between dampers to generate coordinated control signals, including:

[0012] Perform output direction conflict detection on real-time phase and amplitude instructions to generate a force field interference risk matrix;

[0013] Based on the force field interference risk matrix, the phase mutual exclusivity analysis and processing is carried out through the vector synthesis conflict identification algorithm to generate the phase adjustment priority sequence;

[0014] Based on the phase adjustment priority sequence, dynamic phase margin redistribution is performed on the real-time phase and amplitude commands to generate conflict-free phase commands.

[0015] The conflict-eliminated phase instructions are coordinated with the damping force amplitude to generate a coordinated control signal.

[0016] Furthermore, based on the force field interference risk matrix, a phase mutual exclusivity analysis is performed through a vector synthesis conflict identification algorithm to generate a phase adjustment priority sequence, including:

[0017] Perform master-slave damper role calibration on the force field interference risk matrix to generate the dominant damper identifier and the slave damper identifier;

[0018] Based on the dominant damper identification, the conflict energy focusing analysis is performed through vector synthetic field strength calculation to generate a key interference area map;

[0019] The phase mutual repulsion is quantified on the key interference region map to generate a phase conflict level sequence;

[0020] Based on the phase conflict level sequence, the damper output coordination sorting process is carried out through a dynamic priority allocation strategy to generate a phase adjustment priority sequence.

[0021] Furthermore, based on the phase adjustment priority sequence, dynamic phase margin redistribution processing is performed on the real-time phase and amplitude instructions to generate conflict-free phase instructions, including:

[0022] Based on the phase adjustment priority sequence, the phase margin boundary calculation is performed on the real-time phase and amplitude instructions to generate the phase adjustable margin range of each damper;

[0023] Conduct conflict resolution space modeling on the phase adjustable margin range to generate a feasible region for phase reallocation;

[0024] Based on the feasible region of phase reallocation, the phase offset is iteratively calculated by the non-dominated sorting optimization algorithm to generate a phase offset vector that meets the coordination constraints.

[0025] A phase offset vector that satisfies coordination constraints is applied to the phase components in the real-time phase and amplitude instructions, and phase instruction reconstruction processing is performed to generate conflict-free phase instructions.

[0026] Furthermore, based on the damper layout scheme, the oscillation synchronization control strategy is implemented to generate real-time phase and amplitude instructions, including:

[0027] Based on the damper layout scheme, the vibration response prediction process is carried out through spatial position correlation mapping to generate the structural vibration phase distribution map;

[0028] Perform dominant mode phase extraction processing on the structural vibration phase distribution spectrum to generate a global reference phase;

[0029] Based on the global reference phase, the damper target phase is calculated and processed through the anti-phase synchronization strategy to generate a preliminary phase instruction;

[0030] The preliminary phase instruction is optimized by amplitude-phase coupling to generate real-time phase and amplitude instructions.

[0031] Furthermore, based on the global reference phase, the damper target phase is calculated and processed through the anti-phase synchronization strategy to generate a preliminary phase instruction, including:

[0032] Performing an inverted conversion process on the global reference phase to generate a reference inverted phase;

[0033] Based on the spatial relationship between the damper position and the vibration source, the phase transmission delay compensation calculation is performed to generate the phase compensation value;

[0034] Applying a phase compensation amount to the reference inverted phase, performing phase pre-correction processing, and generating a corrected inverted target phase;

[0035] Based on the corrected inverted target phase, the target phase boundary is calculated and processed through the dynamic phase margin constraint strategy to generate a preliminary phase instruction.

[0036] Furthermore, based on the vibration energy distribution map, the damper cluster topology optimization configuration is performed to generate a damper layout plan, including:

[0037] Identify the energy concentration area of ​​the vibration energy distribution map and generate the key area for vibration control;

[0038] Based on the key vibration control areas, the main energy flow is identified and processed through the vibration transfer path tracing algorithm to generate the main vibration transfer path network;

[0039] Based on the main vibration transmission path network, topology coverage optimization is performed to generate the initial damper layout;

[0040] Spatial interference constraints are imposed on the initial damper layout, and layout feasibility correction is performed to generate a damper layout plan.

[0041] In a second aspect, the present application also provides a magnetorheological intelligent damper optimization configuration system for active vibration suppression of large mechanical structures, the system comprising:

[0042] The vibration analysis module is used to perform quantitative analysis of the vibration mode and damping requirements of the target mechanical structure and generate a vibration energy distribution map;

[0043] The topology configuration module is used to perform damper cluster topology optimization configuration processing based on the vibration energy distribution map and generate a damper layout plan;

[0044] Synchronous control module, which is used to implement the oscillation synchronization control strategy based on the damper layout scheme and generate real-time phase and amplitude instructions;

[0045] Interference suppression module, used to perform collaborative interference suppression processing between dampers on real-time phase and amplitude commands to generate coordinated control signals;

[0046] The adaptive optimization module is used to perform online adaptive optimization processing based on the effect of the coordinated control signal and generate iteratively updated control parameters.

[0047] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any method in the first aspect of the present application are implemented.

[0048] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any method in the first aspect of the present application when the computer program is executed by a processor.

[0049] The present application provides a magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures, including: quantitative analysis and processing of the vibration mode and damping demand of the target mechanical structure to generate a vibration energy distribution map; based on the vibration energy distribution map, performing damper cluster topology optimization configuration processing to generate a damper layout plan; based on the damper layout plan, performing oscillation synchronization control strategy implementation processing to generate real-time phase and amplitude instructions; performing collaborative interference suppression processing between dampers on the real-time phase and amplitude instructions to generate a coordinated control signal; based on the effect of the coordinated control signal, performing online adaptive optimization processing to generate iteratively updated control parameters, so as to achieve the technical effect of improving the collaborative control accuracy of multiple dampers, reducing the attenuation of vibration suppression efficiency, and avoiding local vibration energy residue. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0051] Figure 1 A flowchart of a method for optimizing the configuration of a magnetorheological intelligent damper for active vibration suppression of a large mechanical structure in one embodiment of the present invention;

[0052] Figure 2 A flowchart of generating a phase adjustment priority sequence by performing phase mutual exclusivity analysis and processing based on a force field interference risk matrix and a vector synthesis conflict identification algorithm in one embodiment of the present invention;

[0053] Figure 3 This is a structural diagram of a magnetorheological intelligent damper optimization configuration system for active vibration suppression of large mechanical structures in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned purposes, features and advantages of the present application more clearly understood, the specific implementation methods of the present application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to fully understand the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the connotation of the application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0055] like Figure 1 As shown, the present application provides a method for optimizing the configuration of magnetorheological intelligent dampers for active vibration suppression of large mechanical structures, the method comprising:

[0056] S101: Performing a quantitative analysis of the vibration modes and damping requirements of the target mechanical structure to generate a vibration energy distribution map.

[0057] Specifically, vibration modal analysis is performed on the target mechanical structure. Key modal parameters, such as the structure's natural frequency, mode shape, and modal damping ratio, are determined through experiments or finite element analysis, and a modal parameter database is constructed. Subsequently, the damping requirements for each component are quantified based on the structure's actual operating conditions and vibration suppression objectives. Based on dynamic principles and vibration control theory, the required damping effect in each region is evaluated to achieve effective vibration suppression.

[0058] Next, the modal parameters are combined with the damping requirements, and energy analysis methods are used to calculate the energy distribution of various parts of the structure under different vibration modes, identifying the areas of vibration energy concentration and transmission paths. These analysis results are then integrated and processed, and visualization techniques are used to generate intuitive vibration energy distribution maps. This more clearly demonstrates the distribution characteristics and patterns of the structural vibration energy, providing a more accurate basis for subsequent damper cluster topology optimization configuration.

[0059] S102: Based on the vibration energy distribution map, perform damper cluster topology optimization configuration processing to generate a damper layout plan.

[0060] Specifically, an in-depth analysis of the vibration energy distribution map identifies areas of concentrated vibration energy, which are key areas for vibration control. A vibration transmission path tracing algorithm then uses this to reversely trace the primary transmission paths of vibration energy from these concentrated energy areas. This constructs a primary vibration transmission path network and identifies the key nodes and channels of vibration transmission.

[0061] On this basis, a topology optimization algorithm was used to optimize the possible damper placements, taking into account the structural geometry, material properties, and damper performance parameters. This generated an initial damper layout to ensure that the damper layout effectively covered the primary vibration transmission path and achieved effective damping of vibration energy. This initial layout was then verified for spatial interference constraints, checking and adjusting the relative positions of the dampers to avoid spatial conflicts. The damper installation orientation and angle were also optimized to ensure that the dampers' mechanical properties were fully utilized.

[0062] S103: Based on the damper layout scheme, the oscillation synchronization control strategy is implemented to generate real-time phase and amplitude instructions.

[0063] Specifically, based on the damper layout, spatial position correlation mapping is used to predict the structural vibration response and generate a structural vibration phase distribution map, combining the mechanical structure's geometry and vibration characteristics. This map is then subjected to dominant modal phase extraction, identifying the dominant modal phase with the greatest impact on vibration and generating a global reference phase.

[0064] Based on the global reference phase, the damper target phase is calculated and processed using an anti-phase synchronization strategy to generate a preliminary phase command. This preliminary phase command is then optimized using amplitude-phase coupling. The matching relationship between phase and amplitude is adjusted based on the damper's performance parameters and the actual structural vibration response, generating real-time phase and amplitude commands that effectively suppress vibration.

[0065] S104: Performing inter-damper collaborative interference suppression processing on the real-time phase and amplitude instructions to generate a coordinated control signal.

[0066] Specifically, the system performs output direction conflict detection on real-time phase and amplitude commands. By analyzing the phase and amplitude relationships of each damper, it identifies potential force field interference risks and generates a force field interference risk matrix. Based on this force field interference risk matrix, a vector synthesis conflict identification algorithm is then used to analyze the phase mutual exclusivity of each damper, determine the severity and priority of the phase conflict, and generate a phase adjustment priority sequence.

[0067] Based on the phase adjustment priority sequence, dynamic phase margin redistribution is performed on real-time phase and amplitude commands. While ensuring coordinated damper operation, the phase margins of each damper are adjusted to generate conflict-free phase commands. These conflict-free phase commands are then coordinated with the damping force amplitude. Based on the damper performance parameters and the actual structural vibration requirements, the damping force amplitudes of each damper are optimized to coordinate with each other, generating a coordinated control signal that effectively suppresses vibration and avoids mutual interference.

[0068] S105: Based on the effect of the coordinated control signal, perform online adaptive optimization processing to generate iteratively updated control parameters.

[0069] Specifically, the system monitors the effectiveness of coordinated control signals in the damper cluster in real time, collecting actual damper response data, including damping force output, phase tracking accuracy, and real-time feedback on structural vibration. This data is then processed and, combined with pre-defined control objectives and performance metrics, the system assesses the deviation between the current control effect and the desired target, identifying parameter dimensions requiring optimization.

[0070] Using an online adaptive optimization algorithm, damper control parameters, such as the phase compensation coefficient, amplitude adjustment factor, and damping coefficient, are dynamically adjusted based on deviation information to minimize the gap between the actual response and the control target. The optimized parameters are then verified for feasibility and stability to ensure they effectively execute within the damper cluster and do not cause system instability. The verified parameters are then updated to the damper control system, generating a closed-loop optimization control process. The control parameters are continuously iteratively updated to continuously improve vibration suppression effectiveness.

[0071] An embodiment of the present application provides a magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures, including: performing quantitative analysis and processing on the vibration modes and damping requirements of the target mechanical structure to generate a vibration energy distribution map; based on the vibration energy distribution map, performing damper cluster topology optimization configuration processing to generate a damper layout plan; based on the damper layout plan, performing oscillation synchronization control strategy implementation processing to generate real-time phase and amplitude instructions; performing collaborative interference suppression processing between dampers on the real-time phase and amplitude instructions to generate a coordinated control signal; based on the effect of the coordinated control signal, performing online adaptive optimization processing to generate iteratively updated control parameters to achieve the technical effect of improving the collaborative control accuracy of multiple dampers, reducing the attenuation of vibration suppression efficiency, and avoiding local vibration energy residue.

[0072] Furthermore, the real-time phase and amplitude commands are subjected to collaborative interference suppression between dampers to generate coordinated control signals, including:

[0073] Perform output direction conflict detection on real-time phase and amplitude instructions to generate a force field interference risk matrix;

[0074] Based on the force field interference risk matrix, the phase mutual exclusivity analysis and processing is carried out through the vector synthesis conflict identification algorithm to generate the phase adjustment priority sequence;

[0075] Based on the phase adjustment priority sequence, dynamic phase margin redistribution is performed on the real-time phase and amplitude commands to generate conflict-free phase commands.

[0076] The conflict-eliminated phase instructions are coordinated with the damping force amplitude to generate a coordinated control signal.

[0077] Specifically, the system performs force direction conflict detection on real-time phase and amplitude commands. By analyzing the phase and amplitude relationships of each damper, it identifies potential force field interference risks and generates a force field interference risk matrix. This step aims to determine whether there are potential force direction conflicts between different dampers so that appropriate action can be taken.

[0078] Based on the generated force field interference risk matrix, a vector synthesis conflict identification algorithm is used to analyze phase mutual exclusivity and generate a phase adjustment priority sequence. This step uses the algorithm to analyze the force field interference risk matrix, determine the degree of conflict between the damper phases, and generate a priority sequence based on this, providing a basis for subsequent phase adjustments.

[0079] Based on the phase adjustment priority sequence, dynamic phase margin redistribution is performed on real-time phase and amplitude commands to generate conflict-free phase commands. In this process, the phase margins of each damper are redistributed according to the phase adjustment priority sequence to eliminate potential phase conflicts and ensure coordinated operation between the dampers.

[0080] The conflict-free phase commands are then coordinated to generate a coordinated control signal. This step aims to coordinate the damping force amplitudes of each damper based on the adjusted phase commands, enabling them to work together and generate a coordinated control signal that effectively suppresses vibration and avoids mutual interference.

[0081] like Figure 2 As shown, based on the force field interference risk matrix, the phase mutual exclusivity analysis is performed through the vector synthesis conflict identification algorithm to generate a phase adjustment priority sequence, including:

[0082] S201: performing master-slave damper role calibration processing on the force field interference risk matrix to generate a leading damper identifier and a slave damper identifier;

[0083] S202: Based on the dominant damper identification, conflict energy focusing analysis and processing are performed through vector synthetic field strength calculation to generate a key interference area map;

[0084] S203: performing phase mutual repulsion quantification processing on the key interference region map to generate a phase conflict level sequence;

[0085] S204: Based on the phase conflict level sequence, a damper output coordination sorting process is performed through a dynamic priority allocation strategy to generate a phase adjustment priority sequence.

[0086] Specifically, the force field interference risk matrix is ​​calibrated for the master and slave damper roles. According to the layout position of the damper, the vibration energy transfer path and the control signal response characteristics, the dominant and subordinate roles of the damper are distinguished, the dominant damper identification and the slave damper identification are generated, and the control priority is assigned to the dominant damper to ensure that it plays a dominant role in vibration suppression.

[0087] Based on the identification of the dominant damper and the use of the vector synthetic field strength calculation method, the output direction and amplitude of multiple dampers are comprehensively considered to focus on the conflicting energy and analyze and process it. The concentrated area of ​​energy conflict is determined, and a key interference area map is generated to provide more accurate regional positioning for subsequent phase adjustment.

[0088] The phase mutual exclusion quantification is performed on the key interference area map. By analyzing the phase difference and conflict degree in the key area, the phase mutual exclusion relationship between the dampers is quantified, and a phase conflict level sequence is generated to clarify the severity of the phase conflict and the priority order.

[0089] Based on the phase conflict level sequence, a dynamic priority allocation strategy is used to coordinate and sort the damper output. Taking into account the damper's performance parameters, vibration control objectives, and real-time vibration feedback information, the damper's phase and output sequence are dynamically adjusted to generate a phase adjustment priority sequence. This provides optimized phase adjustment guidance for the coordinated control of the dampers, ensuring that the damper cluster collaborates efficiently during the vibration suppression process and avoids mutual interference.

[0090] Furthermore, based on the phase adjustment priority sequence, dynamic phase margin redistribution processing is performed on the real-time phase and amplitude instructions to generate conflict-free phase instructions, including:

[0091] Based on the phase adjustment priority sequence, the phase margin boundary calculation is performed on the real-time phase and amplitude instructions to generate the phase adjustable margin range of each damper;

[0092] Conduct conflict resolution space modeling on the phase adjustable margin range to generate a feasible region for phase reallocation;

[0093] Based on the feasible region of phase reallocation, the phase offset is iteratively calculated by the non-dominated sorting optimization algorithm to generate a phase offset vector that meets the coordination constraints.

[0094] A phase offset vector that satisfies coordination constraints is applied to the phase components in the real-time phase and amplitude instructions, and phase instruction reconstruction processing is performed to generate conflict-free phase instructions.

[0095] Specifically, the phase margin boundaries of real-time phase and amplitude commands are calculated based on the phase adjustment priority sequence. Taking into account the physical limits of the dampers, the control objectives, and the current operating state, the phase adjustment range of each damper is determined, and the phase adjustment margin range of each damper is generated. A conflict resolution space modeling process is then performed on the phase adjustment margin range to construct a phase adjustment space that satisfies all constraints. This generates a feasible domain for phase reallocation, ensuring that subsequent phase adjustments are performed within this feasible domain to avoid new conflicts.

[0096] Based on the feasible domain of phase reallocation, a non-dominated sorting optimization algorithm is used to iteratively calculate the phase offset. The optimal phase offset is searched within the feasible domain to optimize the coordinated control performance of the damper cluster and generate a phase offset vector that satisfies the coordination constraints. A phase offset vector that satisfies the coordination constraints is applied to the phase components of the real-time phase and amplitude commands. Phase command reconstruction is then performed, and the adjusted phase information is integrated into the original command to generate conflict-free phase commands, ensuring phase coordination and consistency of the damper cluster when performing vibration suppression tasks.

[0097] Furthermore, based on the damper layout scheme, the oscillation synchronization control strategy is implemented to generate real-time phase and amplitude instructions, including:

[0098] Based on the damper layout scheme, the vibration response prediction process is carried out through spatial position correlation mapping to generate the structural vibration phase distribution map;

[0099] Perform dominant mode phase extraction processing on the structural vibration phase distribution spectrum to generate a global reference phase;

[0100] Based on the global reference phase, the damper target phase is calculated and processed through the anti-phase synchronization strategy to generate a preliminary phase instruction;

[0101] The preliminary phase instruction is optimized by amplitude-phase coupling to generate real-time phase and amplitude instructions.

[0102] Specifically, based on the damper layout, spatial position correlation mapping technology, combined with the geometric model and dynamic characteristics of the mechanical structure, accurately predicts the structural response during vibration, generating a structural vibration phase distribution map that reflects the vibration phase information of each part of the structure. The dominant modal phase is then extracted from the structural vibration phase distribution map. Modal analysis methods are used to identify the dominant modal phase that contributes most to the overall vibration. This is used as the global reference phase, providing a reference standard for subsequent phase synchronization.

[0103] Based on a global reference phase, an anti-phase synchronization strategy is employed. Based on the damper's position in the structure and the vibration transmission path, the phase target to be tracked by each damper is calculated. This generates preliminary phase commands to ensure that the damper's output is in phase with the structural vibration, achieving energy cancellation. This preliminary phase command is then optimized using amplitude-phase coupling. This takes into account the dynamic characteristics of the dampers, the amplitude distribution of the structural vibration, and the system's stability requirements. The amplitude and phase parameters in the phase commands are adjusted to generate real-time phase and amplitude commands that effectively suppress vibration while ensuring system stability, enabling efficient coordinated control of the damper cluster.

[0104] Furthermore, based on the global reference phase, the damper target phase is calculated and processed through the anti-phase synchronization strategy to generate a preliminary phase instruction, including:

[0105] Performing an inverted conversion process on the global reference phase to generate a reference inverted phase;

[0106] Based on the spatial relationship between the damper position and the vibration source, the phase transmission delay compensation calculation is performed to generate the phase compensation value;

[0107] Applying a phase compensation amount to the reference inverted phase, performing phase pre-correction processing, and generating a corrected inverted target phase;

[0108] Based on the corrected inverted target phase, the target phase boundary is calculated and processed through the dynamic phase margin constraint strategy to generate a preliminary phase instruction.

[0109] Specifically, the global reference phase is inverted and converted to its opposite phase using signal processing techniques to generate a reference inverted phase. This ensures that the damper's output cancels out the structural vibration. Next, based on the spatial relationship between the damper's position and the vibration source, the propagation characteristics of the vibration wave in the structure are analyzed. The phase transmission delay caused by spatial distance differences is calculated, and a phase compensation is generated to correct for phase differences between dampers in different locations.

[0110] Phase compensation is applied to the baseline inverted phase for phase pre-correction. The phase after delay compensation is determined as the corrected inverted target phase, ensuring that the damper can more accurately track the target phase during actual operation. Based on the corrected inverted target phase, a dynamic phase margin constraint strategy is then used to calculate the adjustable range of the target phase according to the damper's dynamic performance and system stability requirements. This generates preliminary phase commands, providing the basis for subsequent amplitude-phase coupled optimization, ensuring that the control commands for the damper cluster are both effective in suppressing vibration and practically operable.

[0111] Furthermore, based on the vibration energy distribution map, the damper cluster topology optimization configuration is performed to generate a damper layout plan, including:

[0112] Identify the energy concentration area of ​​the vibration energy distribution map and generate the key area for vibration control;

[0113] Based on the key vibration control areas, the main energy flow is identified and processed through the vibration transfer path tracing algorithm to generate the main vibration transfer path network;

[0114] Based on the main vibration transmission path network, topology coverage optimization is performed to generate the initial damper layout;

[0115] Spatial interference constraints are imposed on the initial damper layout, and layout feasibility correction is performed to generate a damper layout plan.

[0116] Specifically, the vibration energy distribution map is processed to identify areas of concentrated energy. Signal processing and pattern recognition techniques are used to identify locations where vibration energy is significantly higher than surrounding areas, generating key vibration control areas. Based on these key vibration control areas, a vibration transmission path tracing algorithm is then used to analyze the propagation paths and transmission mechanisms of vibration energy, identify the primary paths that dominate vibration energy transmission, and generate a primary vibration transmission path network.

[0117] Based on the primary vibration transmission path network, topological coverage optimization is performed, comprehensively considering the damper layout density, coverage, and geometric constraints of the structure to generate an initial damper layout. Spatial interference constraints are then applied to the initial damper layout to check and adjust the spatial positional relationships between dampers to avoid installation conflicts. The installation angle and orientation of the dampers are optimized to ensure their effectiveness and accessibility. The layout feasibility is then corrected to generate a damper layout solution.

[0118] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0119] In one embodiment, if Figure 3 As shown, the present application also provides a magnetorheological intelligent damper optimization configuration system 300 for active vibration suppression of large mechanical structures, the system 300 comprising:

[0120] The vibration analysis module 301 is used to perform a quantitative analysis of the vibration mode and damping requirements of the target mechanical structure and generate a vibration energy distribution map;

[0121] A topology configuration module 302 is used to perform damper cluster topology optimization configuration processing based on the vibration energy distribution map and generate a damper layout plan;

[0122] Synchronous control module 303, used to implement the oscillation synchronization control strategy based on the damper layout scheme and generate real-time phase and amplitude instructions;

[0123] Interference suppression module 304, used to perform collaborative interference suppression processing between dampers on real-time phase and amplitude instructions to generate coordinated control signals;

[0124] The adaptive optimization module 305 is used to perform online adaptive optimization processing based on the effect of the coordinated control signal and generate iteratively updated control parameters.

[0125] Specifically, the vibration analysis module 301 performs a quantitative analysis of the target mechanical structure's vibration modes and damping requirements, generating a vibration energy distribution map to clarify the structure's vibration characteristics and energy concentration areas. Based on the vibration energy distribution map, the topology configuration module 302 performs damper cluster topology optimization and generates a damper layout plan to determine the optimal installation location and number of dampers.

[0126] Based on the damper layout, the synchronous control module 303 implements the oscillation synchronization control strategy, generating real-time phase and amplitude commands to provide more precise control parameters for the dampers. The interference suppression module 304 performs collaborative interference suppression between dampers on the real-time phase and amplitude commands, generating coordinated control signals to ensure the damper cluster works together and avoids mutual interference. The adaptive optimization module 305 performs online adaptive optimization based on the effects of the coordinated control signals, generating iteratively updated control parameters to continuously improve vibration suppression.

[0127] The interference suppression module 304 is further configured to:

[0128] Perform output direction conflict detection on real-time phase and amplitude instructions to generate a force field interference risk matrix;

[0129] Based on the force field interference risk matrix, the phase mutual exclusivity analysis and processing is carried out through the vector synthesis conflict identification algorithm to generate the phase adjustment priority sequence;

[0130] Based on the phase adjustment priority sequence, dynamic phase margin redistribution is performed on the real-time phase and amplitude commands to generate conflict-free phase commands.

[0131] The conflict-eliminated phase instructions are coordinated with the damping force amplitude to generate a coordinated control signal.

[0132] The interference suppression module 304 is further configured to:

[0133] Perform master-slave damper role calibration on the force field interference risk matrix to generate the dominant damper identifier and the slave damper identifier;

[0134] Based on the dominant damper identification, the conflict energy focusing analysis is performed through vector synthetic field strength calculation to generate a key interference area map;

[0135] The phase mutual repulsion is quantified on the key interference region map to generate a phase conflict level sequence;

[0136] Based on the phase conflict level sequence, the damper output coordination sorting process is carried out through a dynamic priority allocation strategy to generate a phase adjustment priority sequence.

[0137] The interference suppression module 304 is further configured to:

[0138] Based on the phase adjustment priority sequence, the phase margin boundary calculation is performed on the real-time phase and amplitude instructions to generate the phase adjustable margin range of each damper;

[0139] Conduct conflict resolution space modeling on the phase adjustable margin range to generate a feasible region for phase reallocation;

[0140] Based on the feasible region of phase reallocation, the phase offset is iteratively calculated by the non-dominated sorting optimization algorithm to generate a phase offset vector that meets the coordination constraints.

[0141] A phase offset vector that satisfies coordination constraints is applied to the phase components in the real-time phase and amplitude instructions, and phase instruction reconstruction processing is performed to generate conflict-free phase instructions.

[0142] The synchronization control module 303 is further used for:

[0143] Based on the damper layout scheme, the vibration response prediction process is carried out through spatial position correlation mapping to generate the structural vibration phase distribution map;

[0144] Perform dominant mode phase extraction processing on the structural vibration phase distribution spectrum to generate a global reference phase;

[0145] Based on the global reference phase, the damper target phase is calculated and processed through the anti-phase synchronization strategy to generate a preliminary phase instruction;

[0146] The preliminary phase instruction is optimized by amplitude-phase coupling to generate real-time phase and amplitude instructions.

[0147] The synchronization control module 303 is further used for:

[0148] Performing an inverted conversion process on the global reference phase to generate a reference inverted phase;

[0149] Based on the spatial relationship between the damper position and the vibration source, the phase transmission delay compensation calculation is performed to generate the phase compensation value;

[0150] Applying a phase compensation amount to the reference inverted phase, performing phase pre-correction processing, and generating a corrected inverted target phase;

[0151] Based on the corrected inverted target phase, the target phase boundary is calculated and processed through the dynamic phase margin constraint strategy to generate a preliminary phase instruction.

[0152] The topology configuration module 302 is further configured to:

[0153] Identify the energy concentration area of ​​the vibration energy distribution map and generate the key area for vibration control;

[0154] Based on the key vibration control areas, the main energy flow is identified and processed through the vibration transfer path tracing algorithm to generate the main vibration transfer path network;

[0155] Based on the main vibration transmission path network, topology coverage optimization is performed to generate the initial damper layout;

[0156] Spatial interference constraints are imposed on the initial damper layout, and layout feasibility correction is performed to generate a damper layout plan.

[0157] In one embodiment, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0158] In one embodiment, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps in the above-mentioned method embodiments when the computer program is executed by a processor.

[0159] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely illustrative, wherein the components described as separate parts may or may not be physically separated, and the parts displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0160] The above-described embodiments merely represent several implementation methods of the embodiments of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the concept of the embodiments of the present application, and these modifications and improvements fall within the scope of protection of the embodiments of the present application.

Claims

1. A magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures, characterized in that: The method comprises: Quantitatively analyze the vibration modes and damping requirements of the target mechanical structure to generate a vibration energy distribution map; Based on the vibration energy distribution map, a damper cluster topology optimization configuration process is performed to generate a damper layout plan; Based on the damper layout scheme, an oscillation synchronization control strategy is implemented to generate real-time phase and amplitude instructions; Performing inter-damper collaborative interference suppression processing on the real-time phase and amplitude instructions to generate a coordinated control signal; Based on the effect of the coordinated control signal, online adaptive optimization processing is performed to generate iteratively updated control parameters.

2. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 1 is characterized in that: The step of performing inter-damper collaborative interference suppression processing on the real-time phase and amplitude instructions to generate a coordinated control signal includes: Performing output direction conflict detection processing on the real-time phase and amplitude instructions to generate a force field interference risk matrix; Based on the force field interference risk matrix, a phase mutual exclusivity analysis process is performed using a vector synthesis conflict identification algorithm to generate a phase adjustment priority sequence; Based on the phase adjustment priority sequence, dynamically reallocating the real-time phase and amplitude instructions to generate conflict-free phase instructions; The conflict-eliminated phase command is subjected to damping force amplitude coordination processing to generate the coordinated control signal.

3. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 2 is characterized in that: The method of performing phase mutual exclusivity analysis and processing based on the force field interference risk matrix and generating a phase adjustment priority sequence by using a vector synthesis conflict identification algorithm includes: Performing master-slave damper role calibration processing on the force field interference risk matrix to generate a leading damper identifier and a slave damper identifier; Based on the dominant damper identification, conflict energy focusing analysis and processing are performed through vector synthetic field strength calculation to generate a key interference area map; performing phase mutual repulsion quantification processing on the key interference region map to generate a phase conflict level sequence; Based on the phase conflict level sequence, a damper output coordination sorting process is performed through a dynamic priority allocation strategy to generate the phase adjustment priority sequence.

4. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 2 is characterized in that: The performing dynamic phase margin reallocation processing on the real-time phase and amplitude instructions based on the phase adjustment priority sequence to generate conflict-eliminating phase instructions includes: Based on the phase adjustment priority sequence, performing phase margin boundary calculation processing on the real-time phase and amplitude instructions to generate a phase adjustable margin range for each damper; Performing conflict resolution space modeling processing on the phase adjustable margin range to generate a phase reallocation feasible domain; Based on the phase reallocation feasible region, a phase offset is iteratively calculated and processed by a non-dominated sorting optimization algorithm to generate a phase offset vector that satisfies the coordination constraint; The phase offset vector satisfying the coordination constraint is applied to the phase component in the real-time phase and amplitude instruction, and phase instruction reconstruction processing is performed to generate the conflict-eliminating phase instruction.

5. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 1 is characterized in that: The implementation of the oscillation synchronization control strategy based on the damper layout scheme to generate real-time phase and amplitude instructions includes: Based on the damper layout scheme, vibration response prediction processing is performed through spatial position correlation mapping to generate a structural vibration phase distribution map; Performing dominant mode phase extraction processing on the structural vibration phase distribution spectrum to generate a global reference phase; Based on the global reference phase, a damper target phase is calculated and processed through an anti-phase synchronization strategy to generate a preliminary phase instruction; The preliminary phase instruction is subjected to amplitude-phase coupling optimization processing to generate the real-time phase and amplitude instruction.

6. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 5 is characterized in that: The step of calculating the target phase of the damper based on the global reference phase and generating a preliminary phase instruction by using an anti-phase synchronization strategy includes: Performing an inverting conversion process on the global reference phase to generate a reference inverted phase; Based on the spatial relationship between the damper position and the vibration source, the phase transmission delay compensation calculation is performed to generate the phase compensation value; Applying the phase compensation amount to the reference inverted phase, performing phase pre-correction processing, and generating a corrected inverted target phase; Based on the corrected inverted target phase, a target phase boundary calculation process is performed through a dynamic phase margin constraint strategy to generate the preliminary phase instruction.

7. The magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to claim 1 is characterized in that: The damper cluster topology optimization configuration process is performed based on the vibration energy distribution map to generate a damper layout plan, including: Performing energy concentration area identification processing on the vibration energy distribution map to generate a vibration control key area; Based on the vibration control key area, a main energy flow identification process is performed using a vibration transfer path tracing algorithm to generate a main vibration transfer path network; Based on the main vibration transmission path network, topology coverage optimization processing is performed to generate an initial damper layout; A spatial interference constraint condition is imposed on the initial damper layout, and a layout feasibility correction process is performed to generate the damper layout solution.

8. Magnetorheological intelligent damper optimization configuration system for active vibration suppression of large mechanical structures, characterized by: The system comprises: The vibration analysis module is used to perform quantitative analysis of the vibration mode and damping requirements of the target mechanical structure and generate a vibration energy distribution map; A topology configuration module, configured to perform damper cluster topology optimization configuration processing based on the vibration energy distribution map and generate a damper layout plan; A synchronous control module, configured to implement an oscillation synchronous control strategy based on the damper layout scheme and generate real-time phase and amplitude instructions; An interference suppression module is used to perform collaborative interference suppression processing between dampers on the real-time phase and amplitude instructions to generate a coordinated control signal; The adaptive optimization module is used to perform online adaptive optimization processing based on the effect of the coordinated control signal to generate iteratively updated control parameters.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the magnetorheological intelligent damper optimization configuration method for active vibration suppression of large mechanical structures according to any one of claims 1 to 7 are implemented.

Images