Multifunctional hydraulic system experiment table

Abstract

The application discloses a multifunctional hydraulic system experiment table, and relates to the technical field of hydraulic system experiment tables, comprising a time baseline synchronous control module, a phase-locked correction stable control module, a false peak identification correction module, a multi-dimensional fault-tolerant decision control module and a reverse energy buffer release anti-reverse module; the time baseline synchronous control module establishes a cross-sensor unified time baseline control structure, generates a synchronous reference surface by using a high-stability crystal oscillator signal, and takes the synchronous reference surface as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor. By unifying the time baseline and the phase-locked correction, the application realizes high-precision synchronous acquisition of the pressure and flow signals, ensures the real stability of high-pressure transient test data, reconstructs the control logic and introduces an energy buffer release strategy, so that the pressure relief process is smooth and controllable, pump reverse rotation and structural impact are avoided, and the safety, reliability and self-healing stability of the experiment table are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of hydraulic system test bench technology, and specifically to a multifunctional hydraulic system test bench. Background Technology

[0002] The multi-functional hydraulic system experimental platform is a comprehensive experimental platform integrating hydraulic power supply, component testing, data acquisition, and teaching demonstration. It is used to research, verify, and demonstrate the basic principles and engineering applications of hydraulic transmission and control technology. Its core function is to provide adjustable pressure and flow output to different types of hydraulic actuators (such as actuator cylinders, hydraulic motors, PTUs, PCUs, etc.) through a dual-pump power source consisting of a high-pressure plunger pump and a low-pressure vane pump. It is also equipped with control components such as relief valves, throttle valves, and solenoid directional valves to achieve various experimental modes such as pressure regulation, speed control, and direction switching. The experimental platform has a built-in high-precision sensor network and data acquisition system, which can monitor key parameters such as pressure, temperature, and liquid level in real time, and visualize, record, and analyze them through host computer software (such as LabVIEW). This system has dual attributes of engineering testing and teaching demonstration; it can not only be used to verify the performance of hydraulic components and system stability, but also for teaching the principles of hydraulic systems and conducting fault diagnosis experiments in fields such as aviation, machinery, and transportation.

[0003] The existing technology has the following shortcomings:

[0004] During the high-pressure transient test phase on the hydraulic system test bench, due to the high-frequency response and strong vibration environment of various sensors within the system, the sampling of pressure transmitters and flow sensors is prone to microsecond-level offsets, causing the phase-locked loop mechanism of the data acquisition system to lose synchronization stability. At this time, the phase matching relationship of the sensor signals is disrupted, and abnormal peaks appear in the instantaneous data curve, forming false peak responses unrelated to the actual pressure. If the host computer control logic fails to recognize this signal anomaly, it misjudges the false peak as a high-pressure jump event, triggering an emergency pressure relief program, causing the tested component to unload prematurely before the load reaches the preset conditions, disrupting the pressure balance of the test process. Due to the time difference between the execution of the unloading command and the output of the hydraulic pump, a reverse energy flow is instantaneously formed in the oil circuit, and the internal pressure gradient of the hydraulic pump reverses sharply, generating a short-term reverse torque impact, causing the pump shaft to reverse instantaneously, triggering stress concentration and fracture of the main shaft coupling structure, which in severe cases can lead to the scrapping of the power unit and overall system instability.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a multifunctional hydraulic system test bench to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a multifunctional hydraulic system test bench, comprising a time baseline synchronization control module, a phase-locked loop correction and stabilization control module, a false peak identification and correction module, a multidimensional fault-tolerant decision control module, and a reverse energy slow-release and anti-reverse module;

[0008] The time baseline synchronization control module establishes a unified time baseline control structure across sensors. It uses a high-stability crystal oscillator signal to generate a synchronization reference plane and uses the synchronization reference plane as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor. This ensures that the output signals of different sensors maintain consistent sampling timing under the same time baseline, thereby obtaining a time consistency matrix that includes the synchronization characteristics of pressure signal and flow signal.

[0009] The phase-locked correction stabilization control module constructs an adaptive phase-locked correction network under the constraints of a unified time baseline control structure. It uses the obtained time consistency matrix to extract sampling drift features, calculates the time offset trend in real time, and performs synchronous correction on the sampling sequence through a phase conjugate write-back mechanism, so that the corrected time domain signal remains continuous and stable.

[0010] The false peak identification and correction module establishes a false peak discrimination model based on the output phase-locked correction signal, performs joint analysis on the gradient difference trajectory between the pressure signal and the flow signal, uses the phase coupling inversion method to identify and eliminate non-physical responses, and generates a reliable data window that contains only physically valid signals.

[0011] The multi-dimensional fault-tolerant decision control module reconstructs the control logic triggering structure of the hydraulic system test bench based on the obtained reliable data window results. It embeds the multi-time window consistency test and phase connectivity verification algorithm into the control decision process to form a multi-dimensional fault-tolerant decision chain. This ensures that the triggering of the emergency pressure relief command must simultaneously meet the composite conditions of timing consistency, amplitude continuity, and energy trend stability to prevent false triggering.

[0012] The reverse energy release anti-reverse module, under the stable operation conditions of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy release control strategy. Based on the energy gradient change law of the pressure relief trigger signal, it synchronously adjusts the hydraulic pump drive frequency and control valve opening. It uses timing feedback to achieve dynamic buffering of the pressure relief rate and energy absorption of the reverse torque, thereby establishing a closed-loop anti-reverse control mechanism with self-healing characteristics.

[0013] Preferably, the steps for establishing a unified time baseline control structure across sensors include:

[0014] A high-stability crystal oscillator is set as the core clock source for a unified time baseline. Its output reference signal is distributed to the data acquisition units of the pressure sensor and the flow sensor. Delay equalization design is implemented on the time reference signal transmission path to ensure that the reference signals received by each sensor are consistent in phase.

[0015] After obtaining a unified time baseline, the response delay difference between the two sensors is measured by injecting calibration pulse signals with the same amplitude and frequency, and the signal distribution of the high-stability crystal oscillator is adjusted according to the calibration results to achieve the coincidence of the sampling start points.

[0016] After completing the initial synchronization of sampling, the time drift within the sampling period is continuously monitored and the phase of the reference signal is adjusted according to the drift trend to maintain dynamic time stability of the sampling trigger.

[0017] The synchronously acquired pressure and flow signals are verified for time consistency using a unified time baseline, generating a time consistency matrix that reflects the phase consistency of the signals.

[0018] Preferably, during the process of continuously monitoring the time drift within the sampling period and adjusting the phase allocation of the reference signal, the microsecond-level phase drift trend is identified by detecting the time interval change between the pressure sensor and the flow sensor under a unified time baseline, and the output signal of the high-stability crystal oscillator is compensated in real time with a small amplitude to ensure that the time axes of the pressure signal and the flow signal remain strictly parallel throughout the entire sampling period, thereby achieving dynamic time stability of the sampling process.

[0019] Preferably, the steps for constructing an adaptive phase-locked loop correction network include:

[0020] After the unified time baseline control structure is established and the timing consistency matrix is ​​obtained, the timing correspondence between pressure signals and flow signals is continuously monitored, feature information reflecting time offset is extracted, and microsecond-level offset trends are identified based on these features.

[0021] After extracting the sampling drift characteristics, the time offset trend is monitored and evaluated in real time, and the time reference signal of the high-stability crystal oscillator is slightly phase-adjusted according to the offset trend to maintain the synchronous correspondence between the unified time baseline and the sensor sampling signal.

[0022] After confirming the time offset trend, the phase conjugate write-back process is executed to make slight adjustments to the time position of the sampled sequence so that the pressure signal and the flow signal are realigned to the reference position of the unified time baseline.

[0023] The corrected signal is remapped to the timing consistency matrix for comparison and verification to confirm the continuity and stability of the signal in the time domain after phase-locked loop correction.

[0024] Preferably, during the phase conjugate write-back process, when adjusting the time position of the sampled sequence, the time reference signal output by the high-stability crystal oscillator is used as a reference to perform synchronous micro-amplitude compensation on the sampling points of the pressure signal and the flow signal, so that the phase deviation of the corrected signal under the unified time baseline is kept within the preset tolerance range, ensuring the temporal continuity and phase consistency of the two types of signals throughout the entire sampling period.

[0025] Preferably, the steps for establishing a spurious peak discrimination model include:

[0026] After obtaining the pressure and flow signals after phase-locked loop correction, the temporal variation trends of the two types of signals are analyzed synchronously. A gradient differential trajectory reflecting the transient response relationship is constructed on a unified time baseline, and false peak signals are initially identified based on sudden discontinuities or reverse jumps in the trajectory.

[0027] After obtaining the initial identification area, the phase relationship between the pressure signal and the flow signal is locally magnified and analyzed. By comparing the direction of phase change and the relative delay, the time interval and amplitude range of the false peak are confirmed.

[0028] After identifying the false peak region, phase coupling inversion processing is performed. Based on the continuity of adjacent real signals, the abnormal jump parts are corrected and backfilled to keep the signal changes in a natural transition.

[0029] The corrected pressure signal and flow signal are re-paired according to a unified time baseline to verify time continuity and phase consistency, generating a reliable data window that contains only physically valid signals.

[0030] Preferably, when performing phase coupling inversion processing, the correction backfill is performed by matching the pressure change rate and flow change rate of the real signals adjacent to the time interval where the false peak is located, so as to maintain the phase correspondence between the corrected pressure signal and the flow signal under a unified time baseline, and ensure that the energy transfer characteristics of pressure and flow remain stable and consistent in the generated reliable data window.

[0031] Preferably, the steps for reconstructing the control logic triggering structure of the hydraulic system test bench include:

[0032] After obtaining a reliable data window, a time series consistency analysis is performed on the continuous data within the window. The entire acquisition cycle is divided into several continuous time windows. By comparing the pressure change trend and flow response trajectory of adjacent time windows, the true energy transfer status is identified and abnormal areas are screened out.

[0033] After completing the multi-time-window consistency check, the phase connectivity within the same trusted data window is checked by comparing the phase difference and time delay between the pressure signal and the flow signal to confirm the synchronization relationship of the signals.

[0034] Based on the results of multi-time window consistency and phase connectivity verification, a multi-dimensional fault-tolerant decision chain is established with time continuity, amplitude stability and energy trend consistency as criteria to make a composite trigger judgment for the pressure rise process.

[0035] Under the condition that the decision chain is operating stably, the dynamic reconstruction of the control logic is completed, so that the triggering of the emergency pressure relief command must meet three conditions at the same time to ensure system safety and stability.

[0036] Preferably, in the process of establishing a multi-dimensional fault-tolerant decision chain, a threshold is set for the rate of change of the phase difference between the pressure signal and the flow signal. When the phase difference in adjacent time windows exceeds the preset range, the pressure relief trigger is automatically delayed, and a secondary balance check is performed on the energy trend to ensure that the pressure relief trigger is executed only when both phase connectivity and energy stability are satisfied.

[0037] Preferably, the steps for constructing a reverse energy release control strategy include:

[0038] After the multi-dimensional fault-tolerant decision chain confirms that the pressure relief triggering condition is met, the energy gradient change curve corresponding to the pressure relief triggering signal is obtained, the energy changes before and after pressure relief are compared, the time gradient characteristics of energy release are determined, and when the rate of change exceeds the preset threshold, the energy slow release control stage is entered.

[0039] After obtaining the energy gradient change law, the hydraulic pump drive frequency is adjusted in real time to keep its output power and pressure relief rate dynamically matched. Energy balance and pressure stability are achieved by reducing or increasing the drive frequency.

[0040] While adjusting the hydraulic pump drive frequency, the opening of the control valve is synchronously coordinated. The valve opening is adjusted by monitoring the trend of the slope change of the energy gradient curve, so that the energy release process changes from a sudden drop to a slow release.

[0041] After the hydraulic pump drive frequency and control valve opening are synchronized, closed-loop energy feedback is performed. When the energy release is detected to be in equilibrium or there are signs of reversal, a secondary slow release operation is performed to prevent the hydraulic pump from reversing.

[0042] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0043] This invention achieves time synchronization and phase consistency between pressure and flow signals during high-frequency dynamic acquisition by establishing a unified time baseline control structure across sensors and employing an adaptive phase-locked loop correction mechanism. This ensures that the hydraulic system test bench maintains high accuracy and timing stability in signal sampling even under high-pressure transient environments. By performing nanosecond-level phase calibration and real-time correction of time base drift on the sensor outputs, the invention resolves the signal misalignment and spurious peak superposition problems caused by inconsistent sampling timing among multiple sensors. This ensures that the acquired signals fully correspond to the actual physical response, significantly improving the authenticity and repeatability of the test data.

[0044] This invention reconstructs the control logic triggering structure based on a trusted data window and introduces a multi-dimensional fault-tolerant decision chain and a reverse energy release control strategy. This enables intelligent decision-making and energy self-balancing adjustment of the hydraulic system during the pressure relief process, making the triggering of emergency pressure relief actions more precise, safe, and controllable. By synchronously adjusting the hydraulic pump drive frequency and the control valve opening, the energy release process is transformed from abrupt to gradual, significantly reducing reverse torque impact and mechanical stress concentration, preventing hydraulic pump reversal and power unit structural damage. This not only improves the operational safety and equipment lifespan of the hydraulic system test bench but also endows the system with self-healing and dynamic stability capabilities during high-pressure transient testing. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0046] Figure 1 This is a schematic diagram of a multifunctional hydraulic system test bench according to the present invention. Detailed Implementation

[0047] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0048] This invention provides, for example Figure 1 The multifunctional hydraulic system test bench shown includes a time baseline synchronization control module, a phase-locked correction and stabilization control module, a false peak identification and correction module, a multidimensional fault-tolerant decision control module, and a reverse energy slow-release and anti-reverse module.

[0049] The time baseline synchronization control module establishes a unified time baseline control structure across sensors. It uses a high-stability crystal oscillator signal to generate a synchronization reference plane and uses the synchronization reference plane as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor. This ensures that the output signals of different sensors maintain consistent sampling timing under the same time baseline, thereby obtaining a time consistency matrix that includes the synchronization characteristics of pressure signal and flow signal.

[0050] The specific implementation method for this step is as follows:

[0051] By setting a high-stability crystal oscillator as the core clock source for a unified time baseline, a single-frequency reference signal is introduced into the signal acquisition link of the hydraulic system test bench. The reference signal output by this high-stability crystal oscillator is distributed to the data acquisition units of the pressure and flow sensors, and a time reference channel is established at the sensor input, ensuring that the sampling behavior of both types of sensors is performed based on this unified frequency signal. To avoid sampling offset caused by signal transmission delay, a delay equalization design is introduced on the time reference signal transmission path to ensure that the time reference signals received by each sensor remain consistent in phase. In this way, a unified time reference framework across sensors is established, ensuring that under high-frequency vibration and high-pressure impact environments in the hydraulic system, each sensor can still complete the sampling action based on the same moment, providing a stable foundation for subsequent phase calibration.

[0052] After obtaining a unified time baseline, the sampling signals from the pressure and flow sensors are calibrated for time response. By injecting calibration pulse signals of the same amplitude and frequency into the signal sampling front-end of both types of sensors, the difference between the response delay and sampling start time of the two sensors under the same excitation is measured, thereby obtaining quantitative characteristics of the sampling time error. Based on the calibration results, the reference signal output from the high-stability crystal oscillator is redistributed to the sampling ports of the two sensors to compensate for their inherent response delay difference, ensuring that the sampling start points of the two types of sensors precisely coincide under the same time baseline. This method not only ensures the synchronization of the different sensors' start-up within the sampling period but also effectively reduces the time drift caused by differences in sensor response characteristics, making the signal timing relationship more stable in subsequent data processing.

[0053] After synchronizing at the start of sampling, precise corrections are made to the time drift within the sampling period. At this point, the synchronization signals from the pressure and flow sensors are continuously monitored under a unified time baseline. By comparing the stability of the time intervals between the two signals throughout the entire sampling period, microsecond-level phase drift trends are identified. When a slight change in the time interval is detected, the phase allocation of the high-stability crystal oscillator reference signal is immediately adjusted to provide micro-amplitude time compensation for the sampling triggering of both sensors, thereby eliminating time jitter caused by temperature changes, mechanical vibration, or line capacitance effects. Through multiple iterative corrections, the time axes of the pressure and flow signals are kept strictly parallel throughout the entire sampling period, achieving dynamic time stability in the sampling process. The key to this process is consistently using a unified time baseline as the sampling trigger basis, ensuring that at any given moment, the sampling points of the pressure and flow signals correspond to the same time reference position, thus achieving truly synchronous time-series acquisition.

[0054] After time drift correction, the synchronously acquired pressure and flow signals are subjected to time consistency verification, generating a time consistency matrix containing the synchronization characteristics of the two types of signals. This matrix uses a unified time baseline as the horizontal axis, mapping the pressure and flow sample values ​​at the same moment in chronological order, thus constructing a synchronization mapping relationship across signals. This mapping relationship intuitively reflects the correspondence and phase consistency of the two types of signals in the time dimension, providing a data foundation for subsequent signal reliability analysis. The time consistency matrix not only records the sampling correlation state of the two types of sensors under a unified time baseline but also reflects the real-time dynamic characteristics of the system during high-pressure transient response. Multiple verifications show that this method can effectively eliminate phase misalignment and spurious peak overlap caused by inconsistent sampling benchmarks, maintaining a high degree of temporal coupling consistency in the sampled signals, and providing accurate time reference support for subsequent signal identification, state judgment, and control logic decision-making in the hydraulic system.

[0055] Through the above steps, the cross-sensor unified time baseline control structure can achieve stable operation in the high-frequency, high-vibration hydraulic test environment. It not only ensures the accurate synchronization of the sampling timing of the pressure sensor and the flow sensor, but also establishes a quantifiable and verifiable signal consistency reference system in the time domain.

[0056] The phase-locked correction stabilization control module constructs an adaptive phase-locked correction network under the constraints of a unified time baseline control structure. It uses the obtained time consistency matrix to extract sampling drift features, calculates the time offset trend in real time, and performs synchronous correction on the sampling sequence through a phase conjugate write-back mechanism, so that the corrected time domain signal remains continuous and stable.

[0057] The specific implementation method for this step is as follows:

[0058] After the unified time baseline control structure is established and the timing consistency matrix is ​​obtained, the time correspondence between the pressure signal and the flow signal in this matrix is ​​continuously monitored to extract characteristic information reflecting time offset. Under high-pressure transient conditions in the hydraulic system, the time response of the sensor output signal may exhibit slight deviations due to mechanical vibration, electromagnetic interference, or temperature drift. Therefore, in this implementation, the timing consistency matrix formed in the previous stage is used as the time reference. The current acquired signal is compared with the corresponding time value in the reference matrix on a sample-by-sample basis to identify the microsecond-level offset trend on the time axis. Through this continuous comparison method, it is possible to accurately determine whether the phase relationship between the pressure signal and the flow signal deviates under the same time baseline, providing a quantitative basis for subsequent time synchronization correction. At this time, the entire correction process is still carried out under the constraint of the unified time baseline, ensuring that all judgments are based on the same reference time.

[0059] After extracting the sampling drift characteristics, the obtained time offset trend is monitored and evaluated in real time. Since the fluctuations in hydraulic systems under high pressure often exhibit periodic changes, to avoid misjudgments caused by single sampling anomalies, it is necessary to track the direction and rate of change of the time offset over multiple consecutive sampling periods to obtain the stability trend of the sampling drift. When a time offset in the same direction is detected in a continuous sampling sequence, it indicates that the sensor sampling time base is experiencing a stable drift. At this point, a small-amplitude phase adjustment is made to the time reference signal output by the high-stability crystal oscillator based on the offset trend to maintain the synchronous correspondence between the unified time baseline and the sensor sampling signal. Through this continuous tracking and trend correction mechanism, the relationship between the time base and the sampling signal remains consistent under dynamic operating conditions, ensuring the effectiveness of subsequent signal correction processes.

[0060] After confirming the time offset trend, the phase conjugate write-back process is initiated to restore the time synchronization of the sampled sequence. The key to this process is utilizing the previously analyzed offset characteristics to reverse the temporal position of the sampled sequence, realigning the signal sampling points to a reference position on a unified time baseline. Specifically, in each sampling period, based on the detected time offset, the sampling points of the pressure and flow signals are slightly adjusted relative to the reference timeline, restoring the two types of signals to phase matching within the same sampling period. This process does not change the amplitude characteristics of the signals; it only rearranges the relative positions of the signal sampling points in the time domain, thus achieving physical synchronization restoration. By iteratively executing the phase conjugate write-back, random time drift caused by mechanical vibration or temperature fluctuations can be effectively eliminated, ensuring phase continuity and temporal balance for both types of signals throughout the sampling window.

[0061] After phase repair of the sampling sequence is completed, the time continuity and stability of the corrected signal are verified to ensure the reliability of the correction effect. At this point, using a unified time baseline as the verification basis, the corrected pressure and flow signals are remapped into a timing consistency matrix and compared point-by-point with the matrix before correction. When the comparison results show that the phase deviation of the corrected signal remains within the preset tolerance range throughout the entire time domain, and the time interval between each sampling period tends to be constant, the phase-locked loop correction process can be determined to have reached a stable state. The verified signal will be used as high-precision synchronous sampling data input to the subsequent signal analysis and control logic stages. Through this process, the signal acquisition accuracy of the entire hydraulic experimental platform under high-pressure transient testing conditions is significantly improved, avoiding the phase misalignment, false peak superposition, and control logic misjudgment problems caused by time drift in traditional data acquisition methods.

[0062] Through the above implementation steps, the adaptive phase-locked loop correction structure achieves dynamic stabilization and continuous repair of the sampled signal under the constraint of a unified time baseline, ensuring that the time relationship between the pressure signal and the flow signal in the hydraulic system remains highly consistent. This not only improves the time integrity of the signal but also provides a data foundation for subsequent false peak detection and control logic reconstruction.

[0063] The false peak identification and correction module establishes a false peak discrimination model based on the output phase-locked correction signal, performs joint analysis on the gradient difference trajectory between the pressure signal and the flow signal, uses the phase coupling inversion method to identify and eliminate non-physical responses, and generates a reliable data window that contains only physically valid signals.

[0064] The specific implementation method for this step is as follows:

[0065] After obtaining the phase-locked loop (PLL) corrected pressure and flow signals, the temporal trends of both signals are analyzed synchronously to construct gradient differential trajectories reflecting their transient response relationship. The core of this process lies in utilizing the temporal continuity of the PLL corrected signal output from the previous stage to synchronously compare the pressure change rate and flow change rate on a unified time baseline, thereby obtaining the corresponding response characteristics of both at the same moment. Since there is an interdependent energy transfer relationship between pressure and flow changes under normal operating conditions in a hydraulic system, their gradient differential trajectories should maintain phase coordination and consistent change within a certain time range. When sudden discontinuities or reverse jumps appear in the gradient differential trajectory, it can be preliminarily determined that a false peak signal may exist in that region. In this way, by utilizing the temporal consistency characteristic of the PLL corrected signal, non-physical disturbances are made explicit in the time dimension, providing a preliminary screening basis for subsequent identification.

[0066] After identifying the initial region, a deeper analysis of the phase relationship between the pressure and flow signals is conducted to further confirm the characteristic distribution of spurious peaks. Specifically, under a unified time baseline constraint, the abnormal response region detected in the previous step is locally magnified for observation, comparing the phase change direction and relative delay of the two types of signals within this time period. When the hydraulic system is in a true physical response state, the phase change of the pressure signal should maintain a stable relative relationship with the phase evolution of the flow signal; that is, when the pressure rises, the flow rate usually exhibits a predictable trend. However, in the case of spurious peak formation, the pressure signal often exhibits instantaneous jump characteristics unrelated to the flow signal, and this jump lacks a causal correspondence in energy transfer. By comparing the coherence of the phase changes and the matching of energy trends of the two types of signals on the time baseline, the time period and amplitude range of the spurious peak can be accurately identified, providing accurate location for the next step of eliminating non-physical responses.

[0067] After determining the time interval of the false peak, the signal in that region undergoes phase coupling inversion processing to eliminate the interference of non-physical responses on the overall data structure. The key to this process is to utilize the phase correspondence characteristics of pressure and flow signals under a unified time baseline to trace the signal change trend before and after the appearance of the false peak, and to correct and backfill based on the continuity of adjacent real signals. Specifically, for the time interval of the detected false peak, the real responses of its adjacent intervals are used as a reference for temporal continuity. Abnormal jumps are reintegrated into the overall time series through a smooth phase connection method, ensuring a natural transition in the signal's change trend over time, thereby eliminating phase discontinuities caused by non-physical abrupt changes. The signal curve after inversion correction can re-reflect the energy correspondence between pressure and flow, restoring the overall signal's physical rationality and temporal continuity. This process not only eliminates the interference of single-point noise or local disturbances on system judgment but also reconstructs the true dynamic response trajectory in the time dimension.

[0068] After completing the inversion correction of non-physical responses, the processed signal undergoes reliable data verification to generate a reliable data window containing only true physical characteristics. This process uses a unified time baseline as a reference, re-pairing the corrected pressure and flow signals on the time axis to form a two-dimensional data window containing synchronization features. Within this data window, all time points correspond to physically consistent pressure-flow relationships, with no phase misalignment, amplitude jumps, or signal discontinuities. By continuously monitoring the stability and consistency of the data window, it can be verified whether the signal maintains its true response characteristics throughout the entire test cycle. When the temporal continuity, phase consistency, and energy change trend of the data window all conform to the physical laws of the hydraulic system, it can be used as the input data source for subsequent control logic judgment and state identification. Verification shows that this reliable data window can effectively isolate non-physical factors such as transient interference, sensor noise, and sampling spurious peaks, enabling the hydraulic test bench to obtain highly reliable raw signal input during high-pressure dynamic testing.

[0069] Through the above steps, the spurious peak discrimination structure achieves a complete closed-loop process based on the phase-locked loop correction signal, from time consistency verification, phase coupling analysis, non-physical response repair to the generation of a reliable data window. This implementation method, without relying on external calibration equipment, can actively identify and eliminate spurious signals caused by transient noise, thereby ensuring the authenticity and stability of data collected by the hydraulic system under complex dynamic conditions.

[0070] The multi-dimensional fault-tolerant decision control module reconstructs the control logic triggering structure of the hydraulic system test bench based on the obtained reliable data window results. It embeds the multi-time window consistency test and phase connectivity verification algorithm into the control decision process to form a multi-dimensional fault-tolerant decision chain. This ensures that the triggering of the emergency pressure relief command must simultaneously meet the composite conditions of timing consistency, amplitude continuity, and energy trend stability to prevent false triggering.

[0071] The specific implementation method for this step is as follows:

[0072] After obtaining the reliable data window, a time-series consistency analysis is performed on the continuous data within the window to construct a multi-time-window verification framework. This step uses the time axis within the reliable data window as a benchmark, dividing the entire signal acquisition cycle into several continuous time windows. Each time window corresponds to the pressure and flow rate relationship of the hydraulic system at a specific dynamic stage. By comparing the pressure change trends and flow response trajectories within adjacent time windows, the signal continuity and response consistency between time windows are determined. When the pressure rise rate and flow rate change direction are consistent and the change ratio is stable between adjacent time windows, the system can be confirmed to be in a normal dynamic loading state. If a sudden pressure increase occurs within a time window without a corresponding change in flow rate, it is considered a potential abnormal area, and the entry into the control decision process needs to be delayed. Through this segmented continuity verification method, the system can identify the true energy transfer state in the time dimension, thereby achieving time-based pre-screening of data authenticity before control logic judgment.

[0073] After completing the multi-time-window consistency check, the phase connectivity within the same reliable data window is verified to confirm the synchronization relationship between the pressure and flow signals at the time baseline. This step relies on the timing consistency results from the previous stage, comparing the phase of the pressure peak and the corresponding flow response within each time window. When the hydraulic system is operating normally, the phase difference between pressure and flow should remain within a reasonable physical delay range and show a continuous trend with changes in system load. If an interruption in phase connectivity is detected within a certain time period—that is, a pressure peak occurs without a corresponding flow response, or the time delay between the two exceeds the physically permissible range—an abnormal signal is determined to exist in that stage. This phase connectivity verification method further eliminates instantaneous spurious peaks caused by external vibration, electrical interference, or sampling errors, ensuring that the signals entering the control logic maintain time consistency and true energy correspondence. This step enables cross-validation of the multi-time-window check results and the phase consistency check results in the time dimension, providing reliable input for the subsequent construction of the decision chain.

[0074] Based on the results of dual verification of consistency and phase connectivity across multiple time windows, a multi-dimensional fault-tolerant decision chain is established to realize a composite triggering mechanism for the control logic. This decision chain uses time continuity, amplitude stability, and energy trend consistency as core criteria, integrating the analysis results of the first two steps into a comprehensive decision condition. In actual operation, when the hydraulic system experiences a rapid pressure increase, the decision chain first determines whether the increase process exhibits continuous change across multiple adjacent time windows. If verified, it further checks whether the flow curve corresponding to the pressure change maintains a consistent trend. Finally, it confirms whether the energy conversion of the process proceeds smoothly within a reasonable range. Only when all three conditions are simultaneously met does the system identify this state as a genuine high-pressure event, allowing it to enter the pressure relief triggering logic. If any condition is not met, the event is considered an abnormal signal and automatically blocked. This fault-tolerant judgment method, which superimposes multiple conditions, significantly improves the anti-interference capability of the control logic and avoids the risk of malfunctions caused by single threshold judgments.

[0075] Based on the stable operation of the multi-dimensional fault-tolerant decision chain, the dynamic reconstruction of the control logic trigger structure is completed, making the execution of emergency pressure relief commands safer and more reliable. Before each high-pressure sudden change judgment, the system undergoes triple screening: multi-time-window consistency verification, phase connectivity check, and energy trend balance judgment. Only when the three criteria simultaneously reach agreement under a unified time baseline will the system issue a pressure relief trigger command. During the execution phase, the energy release rate and pressure drop slope of the pressure relief process are continuously monitored to ensure the smooth and controllable pressure relief process. If uneven energy release or abnormal phase relationship is detected during the pressure relief process, the current pressure relief command is immediately terminated and the decision process is re-entered to prevent system malfunction or structural impact. Through this dynamic decision and real-time correction mechanism, the control logic not only possesses static anti-false triggering capabilities but also adaptively adjusts the decision conditions during operation, ensuring the entire hydraulic system maintains a safe and stable operating state under complex working conditions.

[0076] Through the above implementation steps, the reconstructed control logic triggering structure, supported by a reliable data window, forms a multi-dimensional judgment system based on time consistency, phase connectivity, and energy balance. This transforms the emergency depressurization process of the hydraulic system test bench from a single threshold response mode to a composite decision-driven mode. This implementation effectively avoids the false triggering problem caused by transient spurious peaks or signal misalignment in traditional control logic, fundamentally improving the response accuracy of the hydraulic system in high-pressure transient experiments.

[0077] The reverse energy release anti-reverse module, under the stable operation conditions of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy release control strategy. Based on the energy gradient change law of the pressure relief trigger signal, it synchronously adjusts the hydraulic pump drive frequency and control valve opening. It uses timing feedback to realize dynamic buffering of pressure relief rate and energy absorption of reverse torque, thereby establishing a closed-loop anti-reverse control mechanism with self-healing characteristics.

[0078] The specific implementation method for this step is as follows:

[0079] After the multi-dimensional fault-tolerant decision chain confirms the pressure relief trigger condition, the energy gradient change curve corresponding to the pressure relief trigger signal is immediately acquired to determine the energy distribution state inside the hydraulic system. This process is based on the pressure and flow synchronization data recorded in the reliable data window. By comparing the energy accumulation stage before pressure relief triggering with the energy drop stage at the moment of pressure relief, the temporal gradient characteristics of system energy release are determined. Hydraulic systems often experience a sudden energy drop at the moment of high-pressure unloading, and the magnitude and duration of this drop directly determine the intensity and direction of pressure wave propagation within the system. When the energy gradient change rate exceeds the preset equilibrium threshold, it indicates that the pressure relief process will lead to significant reverse pressure fluctuations. At this point, the energy slow-release control stage needs to be entered to prevent the formation of reverse impact. Through this predictive step, the reverse energy transmission trend can be perceived in advance, providing a time margin for subsequent dynamic adjustment.

[0080] After obtaining the energy gradient change pattern, the hydraulic pump drive frequency is adjusted in real time to maintain a dynamic match between its output power and the pressure relief rate. Specifically, when the energy decrease rate of the pressure relief signal is fast, the hydraulic pump drive frequency is reduced to delay the release of the pump's output torque, thereby weakening the instantaneous impact of reverse energy backflow. Conversely, when the pressure relief energy change is relatively gradual, the hydraulic pump drive frequency is appropriately increased to maintain the continuity of energy flow within the system and prevent pressure stagnation caused by slow energy release. This adjustment process relies on the timing feedback information provided by the multi-dimensional fault-tolerant decision chain to achieve real-time drive response while maintaining a unified time baseline. Through dynamic control of the drive frequency, an adjustable energy matching relationship is formed between the hydraulic pump and the pressure relief valve, ensuring that the pressure relief action exhibits a smooth transition characteristic at the energy level and avoiding the generation of instantaneous reverse torque peaks within the hydraulic pump.

[0081] While dynamically adjusting the hydraulic pump drive frequency, the control valve opening is synchronously coordinated to achieve balanced control of the pressure relief rate and system energy release. Specifically, the control valve opening is finely adjusted by continuously monitoring the slope of the energy gradient curve. When the system energy release rate is detected to be too fast, the control valve opening is gradually reduced to decrease the flow rate of the pressure relief oil and prolong the duration of the pressure balancing process. When the energy release rate tends to stabilize, the control valve opening is slowly increased to allow the system pressure to decrease steadily at the set rate. At this point, the adjustment of the hydraulic pump drive frequency and the change in the control valve opening are synchronized in time, forming a dynamic symmetrical relationship between energy input and output. Through this synchronous adjustment method, the energy conversion path during the pressure relief process changes from a unidirectional sudden drop to a gradual release and dispersion, effectively suppressing system pressure fluctuations and maintaining a stable oil flow direction, thereby preventing the formation of reverse energy flow.

[0082] After synchronizing the hydraulic pump drive frequency and control valve opening, a closed-loop energy feedback process is implemented throughout the depressurization process to achieve anti-reverse control with self-healing characteristics. This process is based on time-series data collected during the depressurization process, monitoring the pressure difference and flow direction between the hydraulic pump outlet and the valve pre-containment chamber in real time. When energy release is detected to be balancing and pressure fluctuation amplitude is below a preset threshold, the system automatically maintains the current adjustment state until depressurization is complete. If a pressure rebound trend or flow direction reversal occurs in the later stages of depressurization, a secondary slow-release operation is immediately executed. This involves slightly reducing the pump drive frequency and tightening the control valve opening to gradually absorb residual energy, ensuring a completely stable termination of the energy transfer process. Verification shows that this closed-loop energy feedback process effectively eliminates the risk of hydraulic pump reversal caused by pressure rebound, achieving adaptive energy absorption and structural stress balance. After the entire depressurization cycle ends, the system automatically returns to standby mode, providing stable initial conditions for the next high-pressure loading.

[0083] Through the above steps, the reverse energy release control strategy, supported by a multi-dimensional fault-tolerant decision chain, realizes the dynamic transition of hydraulic system energy from sudden release to gradual equilibrium, enabling the energy transfer process to maintain controllability and stability in both time and space dimensions. This not only effectively avoids the instantaneous reverse torque impact caused by the reversal of the pressure gradient in the hydraulic pump, but also introduces a self-healing closed-loop control concept in the energy release stage, giving the hydraulic system self-adjustment and self-balancing capabilities.

[0084] This invention achieves time synchronization and phase consistency between pressure and flow signals during high-frequency dynamic acquisition by establishing a unified time baseline control structure across sensors and employing an adaptive phase-locked loop correction mechanism. This ensures that the hydraulic system test bench maintains high accuracy and timing stability in signal sampling even under high-pressure transient environments. By performing nanosecond-level phase calibration and real-time correction of time base drift on the sensor outputs, the invention resolves the signal misalignment and spurious peak superposition problems caused by inconsistent sampling timing among multiple sensors. This ensures that the acquired signals fully correspond to the actual physical response, significantly improving the authenticity and repeatability of the test data.

[0085] This invention reconstructs the control logic triggering structure based on a trusted data window and introduces a multi-dimensional fault-tolerant decision chain and a reverse energy release control strategy. This enables intelligent decision-making and energy self-balancing adjustment of the hydraulic system during the pressure relief process, making the triggering of emergency pressure relief actions more precise, safe, and controllable. By synchronously adjusting the hydraulic pump drive frequency and the control valve opening, the energy release process is transformed from abrupt to gradual, significantly reducing reverse torque impact and mechanical stress concentration, preventing hydraulic pump reversal and power unit structural damage. This not only improves the operational safety and equipment lifespan of the hydraulic system test bench but also endows the system with self-healing and dynamic stability capabilities during high-pressure transient testing.

[0086] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A multifunctional hydraulic system experimental platform, characterized in that, It includes a time baseline synchronization control module, a phase-locked correction stabilization control module, a spurious peak identification and correction module, a multi-dimensional fault-tolerant decision control module, and a reverse energy slow release anti-reversal module; The time baseline synchronization control module establishes a unified time baseline control structure across sensors. It uses a high-stability crystal oscillator signal to generate a synchronization reference plane and uses the synchronization reference plane as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor. This ensures that the output signals of different sensors maintain consistent sampling timing under the same time baseline, and obtains a time consistency matrix that includes the synchronization characteristics of the pressure signal and the flow signal. The phase-locked correction stabilization control module constructs an adaptive phase-locked correction network under the constraints of a unified time baseline control structure. It extracts sampling drift features using the obtained time consistency matrix, calculates the time offset trend in real time, and performs synchronous correction on the sampling sequence through a phase conjugate write-back mechanism. The false peak identification and correction module establishes a false peak discrimination model based on the output phase-locked correction signal, performs joint analysis on the gradient difference trajectory between the pressure signal and the flow signal, uses the phase coupling inversion method to identify and eliminate non-physical responses, and generates a reliable data window that contains only physically valid signals. The multi-dimensional fault-tolerant decision control module reconstructs the control logic triggering structure of the hydraulic system test bench based on the obtained reliable data window results. It embeds the multi-time window consistency test and phase connectivity verification algorithm into the control decision process to form a multi-dimensional fault-tolerant decision chain, so that the triggering of the emergency pressure relief command must simultaneously meet the composite conditions of timing consistency, amplitude continuity and energy trend stability. The reverse energy release and anti-reverse module, under the stable operation conditions of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy release control strategy. Based on the energy gradient change law of the pressure relief trigger signal, it synchronously adjusts the hydraulic pump drive frequency and control valve opening. It uses timing feedback to realize dynamic buffering of pressure relief rate and energy absorption of reverse torque, and establishes a closed-loop anti-reverse control mechanism with self-healing characteristics.

2. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to establish a unified time baseline control structure across sensors include: A high-stability crystal oscillator is set as the core clock source for a unified time baseline. Its output reference signal is distributed to the data acquisition units of the pressure sensor and the flow sensor. Delay equalization design is implemented on the time reference signal transmission path to ensure that the reference signals received by each sensor are consistent in phase. After obtaining a unified time baseline, the response delay difference between the two sensors is measured by injecting calibration pulse signals of the same amplitude and frequency, and the signal distribution of the high-stability crystal oscillator is adjusted according to the calibration results to achieve the coincidence of the sampling start points; After completing the initial synchronization of sampling, the time drift within the sampling period is continuously monitored and the phase of the reference signal is adjusted according to the drift trend; The synchronously acquired pressure and flow signals are verified for time consistency using a unified time baseline, generating a time consistency matrix that reflects the phase consistency of the signals.

3. The multifunctional hydraulic system test bench according to claim 2, characterized in that, During the continuous monitoring of time drift within the sampling period and adjustment of the reference signal phase allocation, the microsecond-level phase drift trend is identified by detecting the time interval change between the pressure sensor and the flow sensor under a unified time baseline. The output signal of the high-stability crystal oscillator is then compensated in real time with a small amplitude to ensure that the time axes of the pressure signal and the flow signal remain strictly parallel throughout the entire sampling period.

4. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to construct an adaptive phase-locked loop correction network include: After the unified time baseline control structure is established and the timing consistency matrix is ​​obtained, the timing correspondence between pressure signals and flow signals is continuously monitored, feature information reflecting time offset is extracted, and microsecond-level offset trends are identified based on this feature information. After extracting the sampling drift characteristics, the time offset trend is monitored and evaluated in real time, and the time reference signal of the high-stability crystal oscillator is slightly phase-adjusted according to the offset trend to maintain the synchronous correspondence between the unified time baseline and the sensor sampling signal. After confirming the time offset trend, the phase conjugate write-back process is executed to make slight adjustments to the time position of the sampled sequence so that the pressure signal and the flow signal are realigned to the reference position of the unified time baseline. The corrected signal is remapped to the timing consistency matrix for comparison and verification, confirming that the signal is continuously stable in the time domain after phase-locked loop correction.

5. A multifunctional hydraulic system test bench according to claim 4, characterized in that, During the phase conjugate write-back process, when adjusting the time position of the sampled sequence, the time reference signal output by the high-stability crystal oscillator is used as a reference to perform synchronous micro-amplitude compensation on the sampling points of the pressure signal and the flow signal, so that the phase deviation of the corrected signal under the unified time baseline is kept within the preset tolerance range.

6. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to establish a spurious peak discrimination model include: After obtaining the pressure and flow signals after phase-locked loop correction, the temporal variation trends of the two types of signals are analyzed synchronously. A gradient differential trajectory reflecting the transient response relationship is constructed on a unified time baseline, and false peak signals are initially identified based on sudden discontinuities or reverse jumps in the trajectory. After obtaining the initial identification area, the phase relationship between the pressure signal and the flow signal is locally magnified and analyzed. By comparing the direction of phase change and the relative delay, the time interval and amplitude range of the false peak are confirmed. After identifying the false peak region, phase coupling inversion processing is performed. Based on the continuity of adjacent real signals, the abnormal jump parts are corrected and backfilled to keep the signal changes in a natural transition. The corrected pressure signal and flow signal are re-paired according to a unified time baseline to verify time continuity and phase consistency, generating a reliable data window that contains only physically valid signals.

7. A multifunctional hydraulic system test bench according to claim 6, characterized in that, During the phase coupling inversion process, the correction backfill is performed by matching the pressure change rate and flow change rate of the real signals adjacent to the time interval where the false peak is located, so as to maintain the phase correspondence between the corrected pressure signal and the flow signal under a unified time baseline.

8. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps for reconstructing the control logic triggering structure of the hydraulic system test bench include: After obtaining a reliable data window, a time series consistency analysis is performed on the continuous data within the window. The entire acquisition cycle is divided into several continuous time windows. By comparing the pressure change trend and flow response trajectory of adjacent time windows, the true energy transfer status is identified and abnormal areas are screened out. After completing the multi-time-window consistency check, the phase connectivity within the same trusted data window is checked by comparing the phase difference and time delay between the pressure signal and the flow signal to confirm the synchronization relationship of the signals. Based on the results of multi-time window consistency and phase connectivity verification, a multi-dimensional fault-tolerant decision chain is established with time continuity, amplitude stability and energy trend consistency as criteria to make a composite trigger judgment for the pressure rise process. Under the condition that the decision chain is operating stably, the dynamic reconstruction of the control logic is completed, so that the triggering of the emergency pressure relief command must meet three conditions at the same time.

9. A multifunctional hydraulic system test bench according to claim 8, characterized in that, In the process of establishing a multi-dimensional fault-tolerant decision chain, a threshold is set for the rate of change of the phase difference between the pressure signal and the flow signal. When the phase difference in adjacent time windows exceeds the preset range, the pressure relief trigger is automatically delayed, and the energy trend is checked twice to ensure that the pressure relief trigger is executed only when both phase connectivity and energy stability are satisfied.

10. A multifunctional hydraulic system test bench according to claim 8, characterized in that, The steps to construct a reverse energy release control strategy include: After the multi-dimensional fault-tolerant decision chain confirms that the pressure relief triggering condition is met, the energy gradient change curve corresponding to the pressure relief triggering signal is obtained, the energy changes before and after pressure relief are compared, the time gradient characteristics of energy release are determined, and when the rate of change exceeds the preset threshold, the energy slow release control stage is entered. After obtaining the energy gradient change law, the hydraulic pump drive frequency is adjusted in real time to keep its output power and pressure relief rate dynamically matched. Energy balance and pressure stability are achieved by reducing or increasing the drive frequency. While adjusting the hydraulic pump drive frequency, the opening of the control valve is synchronously coordinated. The valve opening is adjusted by monitoring the trend of the slope change of the energy gradient curve, so that the energy release process changes from a sudden drop to a slow release. After the hydraulic pump drive frequency and control valve opening are synchronized, closed-loop energy feedback is performed. When the energy release is detected to be in equilibrium or a reverse sign is detected, a secondary slow release operation is performed.

Images