1746results about "Fluid-pressure actuator testing" patented technology

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention provides an intelligent optimization control method for stable operation of a hydraulic system in a complex environment, which comprises the following steps of: aiming at an abnormal mode, optimizing power configuration parameters by adopting a genetic algorithm, determining a standby pump activation threshold value and a main pump switching condition, and obtaining a power redundancy scheme; according to the slow response reason, pipeline interface data are obtained, a feedback control mechanism is adopted to adjust valve group cooperation parameters, and a rapid pressure adjustment sequence is obtained; acquiring real-time feedback data according to the final optimization instruction, and processing high-temperature and high-dust influence through an iterative updating process to obtain stable operation configuration; according to the stable operation configuration, the state of the whole system is judged, and if the state meets the preset standard, a cooperative control result is output and used for maintaining continuous operation of the hydraulic system in the complex environment.

The invention relates to the technical field of intelligent control of heavy equipment, in particular to a hydraulic synchronous intelligent control system for segmented turnover of an overweight steel structure, and discloses the hydraulic synchronous intelligent control system for segmented turnover of the overweight steel structure. According to the system, full-field strain data of a structure surface is acquired by deploying a flexible grid sensor array, and a deformation gradient topological graph is constructed to identify an instability risk area. And a dynamic fluid network model of the hydraulic system is established, fluid-solid coupling simulation is carried out in combination with deformation characteristics, and pressure pulsation transmission paths under different control instructions are predicted. And the system dynamically optimizes a data sampling strategy and network model parameters according to a prediction path, generates a hydraulic cylinder coordination action instruction subjected to pressure balance verification, and finally drives an execution mechanism to complete turnover operation. According to the scheme, full-field real-time sensing of structural deformation and dynamic coupling prediction control of hydraulic fluid are achieved, and the safety and control precision of the overweight component in the turnover process are improved.

The invention relates to the technical field of hydraulic valves, and discloses a digital hydraulic valve intelligent diagnosis system which comprises a data acquisition module, a data preprocessing and label generation module, a feature fusion module, a classification diagnosis and decision fusion module and a service life prediction and suggestion generation module. Data such as pressure, vibration, displacement, flow and pollution degree of the valve are comprehensively captured through deployment of a multi-source sensor array at key positions of the digital hydraulic valve and a self-adaptive acquisition strategy, early fault feature omission is avoided, then through preprocessing means such as soft-hard hybrid wavelet threshold denoising and multi-sensor time alignment, the data precision is effectively improved, and the accuracy of the data is improved. Then, through dynamic-static layered feature fusion and an attention weighting mechanism based on GRU, different feature advantages under steady-state and fault working conditions are fully combined, the fault feature distinction degree is greatly enhanced, and the problem that similar faults are likely to be confused is solved.

The invention relates to the technical field of cubic hydraulic press monitoring, in particular to a cubic hydraulic press health monitoring method and system based on an intelligent sensor, and the system comprises a health monitoring terminal, a data sensing module, a data processing module, a health diagnosis module, a fault management module, a diagnosis positioning module, a cooperative influence module and a rear-end execution module. According to the method, the time domain, the frequency domain and the time domain-frequency domain combined features are extracted, meanwhile, the state change slope is quantified, early warning of the equipment degradation trend is achieved, a fault type-abnormal feature-weight mapping table is constructed, a fault core component and the specific position are accurately positioned, and the fault core component is accurately determined by matching with digital twinborn visual marks. And meanwhile, the internal relation between components is quantified by constructing a component incidence matrix, the health influence coefficient of the cooperative component is calculated in combination with a fault grade coefficient, key components affected by faults are recognized in advance, a cooperative damage list is formed, and operation and maintenance personnel are assisted to intervene in advance.

A hydraulic motor output shaft vibration detection device disclosed by the present invention is characterized in that a limiting piece and a driving piece are sequentially installed in a detection box from top to bottom, a memory pointer is installed on the limiting piece, a main pointer is installed on the driving piece, and a contact rod is installed at the lower end of the detection box in an up-down sliding manner; the upper end of the contact rod extends into the detection box and is connected with the driving part, a limiting structure used for limiting the limiting part is installed in the detection box, an unlocking part is installed on the surface of the rear side of the detection box, and the limiting structure is in sliding connection with the unlocking part. The memory pointer is connected with the limiting structure through the limiting piece, the main pointer can detect the corresponding amplitude when the output shaft of the hydraulic motor rotates in real time, the memory pointer can record the maximum amplitude when the output shaft of the hydraulic motor rotates, instant recording of the amplitude is facilitated, and a recorder can clearly see the current vibration value and the maximum peak value at a glance.

The invention discloses a system and method for testing flow, displacement and hydraulic power of a main valve element. The system comprises two displacement sensors, a tested balance valve and a hydraulic testing assembly. A main valve core and a pilot valve core of the tested balance valve are coaxially and oppositely arranged; the two displacement sensors are coaxially fixed with the main valve core and the control piston respectively; the hydraulic test assembly detects the pressure of an oil return port A, a load oil port B, a feedback spring cavity pressure measuring port Pc and a pilot oil inlet X through pressure sensors; the load pressure, the pilot pressure and the oil return back pressure are controlled through a main load oil way, a pilot control oil way and an oil return back pressure oil way respectively, and meanwhile the flow of the oil return is measured through a flow meter. According to the invention, the flow, displacement and hydraulic force of the main valve core under different working conditions can be synchronously and dynamically measured.

The invention discloses a paper-plastic mold positioning auxiliary system capable of monitoring hydraulic pressure in real time through an AI. The paper-plastic mold positioning auxiliary system comprises an AI control center, a hydraulic monitoring unit, an air pressure monitoring unit, a positioning auxiliary execution unit, an abnormity protection unit and a data acquisition and transmission module. The hydraulic monitoring unit is used for collecting hydraulic oil cylinder pressure, temperature, hydraulic oil viscosity and equipment operation duration data; the air pressure monitoring unit collects air pressure, flow and valve delay time data of a pipeline valve; the data acquisition and transmission module transmits data to the AI control center, and the AI control center analyzes abnormity through a model and calculates a correction amount; the positioning auxiliary execution unit coordinates the positioning of the servo motor and the hydraulic oil cylinder; and the abnormal protection unit receives the early warning and starts a protection action. The system solves the problems of hydraulic monitoring lag and the like, realizes hydraulic and air pressure cooperative monitoring and positioning compensation, ensures production coherence and equipment safety, and is adaptive to automatic production of paper-plastic molds.

The invention discloses a hydraulic system sealing test bench and a sealing performance test method, and belongs to the technical field of sealing performance detection, the test bench comprises a vibration device, a pressure control system, a sealing element installation device, a flow adjusting system and a micro leakage detection unit; a to-be-tested sealing element is installed in the sealing element installation device to form a sealing cavity, and the sealing cavity is communicated with the pressure control system, the flow adjusting system and the hydraulic oil tank through pipelines to form a closed hydraulic loop. The vibration device is arranged on the outer side of the sealing element mounting device and used for applying vibration loads, the pressure control system is used for providing and adjusting hydraulic pressure in the sealing cavity, the flow adjusting system is used for controlling the flowing speed and flow of a hydraulic medium, and the micro-leakage detection unit is arranged below the sealing element mounting device and used for detecting leakage of the sealing cavity. The method has the advantages of being high in test condition controllability, high in leakage detection sensitivity, wide in adaptability and high in test result engineering guidance.

The invention provides a multi-pump zero-displacement hydraulic agile control system and a control method thereof. The system is composed of a hydraulic system, a mechanical system and an electric control system. According to the control method, a multi-pump zero-displacement switching mechanism and a deep reinforcement learning strategy based on an Actor-Critic architecture are fused, the effective oil supply amount is adjusted by dynamically starting and stopping part of hydraulic pumps, a servo motor rotating speed instruction is output in real time in combination with a neural network, and the strong coupling dynamic relation between sliding block displacement and the angle of a swing rod is coordinated. The system switches part of the pumps to a bypass state when approaching balance so as to reduce energy consumption, and starts all the pumps to guarantee recovery capacity when greatly deviating. According to the technical scheme, on the premise of not depending on an accurate mathematical model, agile, stable and energy-saving control over the inverted pendulum type under-actuated system can be achieved.

The invention belongs to the technical field of hydraulic test and intelligent control, and particularly discloses a hydraulic component test system integrating data acquisition and automatic data analysis functions, which comprises a physical hardware test platform, a test control software platform and a digital twinborn model of a tested component, and realizes real-time interaction through an OPC UA protocol. Model parameters are corrected on line by means of measured data, and steady state, transient state and disturbance working condition tests are automatically executed based on a working condition library; and dynamically optimizing a test sequence in a test process, skipping a redundant working condition or encrypting a critical region, and synchronously generating a structured performance report. The accuracy and consistency of test results are improved, working condition simulation signals are automatically generated, performance data are collected in real time, a comprehensive performance report is generated, manual operation is reduced, the test process optimization unit can skip redundant working conditions and refine failure boundary positioning, and the test time and cost are effectively saved.

The invention provides an intelligent operation optimization and fault processing method for a hydraulic power unit, and the method comprises the steps: collecting real-time pressure data and flow data from the hydraulic power unit through a sensor network, and carrying out the classification processing of the collected pressure data and flow data through a support vector machine algorithm, obtaining a current operation state classification result of the hydraulic power unit; through power redundancy configuration of the started hydraulic power unit, synchronous signal data are collected for the pressure regulating valve group, a neural network algorithm is adopted to conduct prediction processing on the synchronous signal data, and an expected response time sequence of pressure regulation is obtained; according to the obtained filter mechanism optimization result with the minimized oil path interruption, real-time monitoring is conducted on filter element blockage data in the high-dust environment, anomaly detection is conducted on the filter element blockage data through a support vector machine algorithm, and a predicted deviation value of pressure fluctuation is obtained.

The invention discloses a hydraulic system preset time dynamic surface position control method, which is based on a dynamic surface control framework, innovatively introduces a preset time-varying function, and designs a nonlinear robust position controller with preset time. Aiming at the position control problem of the hydraulic cylinder of the hydraulic system, the differential explosion problem frequently occurring in the classic backstepping control design of the hydraulic system is avoided, the influence of measurement noise on the control precision is reduced, the controller design is simplified, and the excellent transient performance of the system within the preset time is guaranteed; and the convergence time can be clearly determined and does not depend on initial conditions of the system, so that the method has high-precision tracking performance.

The invention discloses a self-adaptive test system and method for a hydraulic power unit, and the system comprises a test bench which is provided with a fixing tool for fixing the tested hydraulic power unit; the oil tank unit is arranged in the test bed and is used for supplying oil to and pumping oil from the tested hydraulic power unit; and the counterweight test unit is arranged in the test bench, the counterweight test unit comprises a counterweight module, and the counterweight module is connected with a working oil port of a tested hydraulic power unit through a first oil path. The device is simple in structure, directly simulates the real gravity load borne by the hydraulic execution mechanism through the counterweight module, and can accurately test the lifting and descending dynamic performance and the pressure maintaining internal leakage characteristic of the power unit under the load condition. The problems that a traditional back pressure method cannot truly simulate the gravity load, and descending speed control and energy recovery performance are difficult to evaluate are effectively solved.

The invention relates to the field of hydraulic system monitoring, in particular to a leakage monitoring method and system for a hydraulic system, and the method comprises the steps: obtaining the pressure data of a valve element of a hydraulic servo system in a zero position state; constructing a local analysis window by taking each pressure data point as a center, and performing local mean decomposition processing on the pressure data to obtain a residual component, the local mean decomposition processing including using an adaptive sliding step length for the data points; calculating an average descent rate of the residual component; and generating an alarm signal in response to the fact that the average descent rate is greater than a set threshold. According to the invention, the sensitivity and the accuracy of the zero-position tiny internal leakage detection of the hydraulic valve core are improved, and false alarm and missing alarm are effectively avoided.

The invention relates to a servo hydraulic multi-working-condition parameter self-adaptive switching and correcting method. The method comprises the steps that system real-time data flow including real-time hydraulic pressure, executing mechanism speed and control response deviation is monitored and collected; identifying the current working condition based on the real-time data and indexing the reference control parameters; running a parallel response evaluation program to generate a dynamic stability indicator and determine an expected performance threshold; the dynamic stability index is compared with an expected performance threshold value, and when parameter mismatch is confirmed, a temporary compensation coefficient is generated to correct the reference control parameter in real time; and monitoring the correction offset, and updating the working condition-parameter mapping database when the aging judgment condition is met. The method has the advantages that manual parameter adjustment can be replaced, automatic switching of millisecond-level working conditions is achieved, the problem of parameter mismatching caused by equipment aging is effectively solved through a model self-evolution mechanism, and the control precision and stability of the servo hydraulic system in the whole life cycle are ensured.

The invention relates to the technical field of electric power engineering, in particular to a simulation method of a power station motor high-oil-pressure jacking hydraulic system, which comprises the following steps: building a high-oil-pressure jacking hydraulic simulation system which comprises a control module, a constant-pressure variable pump, a pressure release valve, a measuring element, an oil tank, an equivalent load, an equivalent hydraulic cylinder and a pressure release hole; the equivalent hydraulic cylinder is used for jacking up the equivalent load and simulating a real scene that the motor is jacked up by high-pressure oil; theoretical modeling is conducted on a frame and all parts of the high-oil-pressure jacking hydraulic simulation system; by establishing a linkage mechanism of the equivalent area, the pressure and the flow of the pressure relief hole, pressure fluctuation and compensation response during working condition conversion are accurately simulated; smooth transition between the static jacking state and the operation pressure maintaining state is achieved, and the stability and the self-adaptive capacity of the system under the variable rotating speed condition are effectively verified. Compared with traditional static simulation, the whole process of the hydraulic and mechanical coupling effect in actual operation is reflected more comprehensively.

The invention relates to the technical field of hydraulic control, and discloses a hydraulic motor constant torque self-adaptive PID (Proportion Integration Differentiation) control system which comprises a controller and a hydraulic driving unit, the controller performs frequency domain separation on the pressure signal by using a signal preprocessing module, and extracts an average pressure difference representing the driving force and a ripple amplitude representing the fluid rigidity; the state observation module estimates an instantaneous volume elastic modulus based on the ripple amplitude, corrects a compression item in a flow continuity model by using the elastic modulus, and calculates an instantaneous leakage coefficient of the motor in real time; the self-adaptive control module establishes dynamic mapping of PID gain and physical parameters, the proportional gain is adjusted by using a leakage coefficient to match system damping, the integral gain is adjusted by using a volume elastic modulus to adapt to inherent frequency, and a control instruction is synthesized by combining feedforward compensation. According to the method, the problem of model mismatch caused by oil characteristic change and motor abrasion is effectively solved, and the whole-life-cycle control precision of the system is improved.

The invention discloses a hydraulic pump dynamic flow control method and system based on load feedback, and relates to the technical field related to hydraulic pumps, and the method comprises the steps that the load pressure of a hydraulic pump is monitored in real time, a first load pressure signal is generated, and a target flow parameter is set; a load pressure-flow mapping graph is constructed through dynamic mapping; dynamically responding to generate load compensation parameters to carry out load control on load pressure; and deviation calculation is carried out on the target flow parameter based on the second load pressure signal, a flow deviation signal is obtained to carry out dynamic flow control on the hydraulic pump, a flow displacement control result is fed back to carry out real-time correction on the load compensation parameter, and a flow closed-loop backtracking control channel is constructed. The technical problems that in the prior art, the flow control response of the hydraulic pump is lagged under the variable load working condition, the control precision is insufficient, and the energy efficiency is low are solved, and the technical effects that the dynamic response speed, the control precision, the stability and the energy efficiency of flow control of the hydraulic pump are improved are achieved.

The invention discloses a modularized hydraulic system testing system and method, and relates to the technical field of hydraulic testing, and the method comprises the following steps: S1, collecting outlet pulsating pressure signals of a high-pressure plunger pump and a low-pressure vane pump by adopting a nanosecond-level synchronous time mark system, generating a phase residual error map, and calculating a phase residual error map of the outlet pulsating pressure signals of the high-pressure plunger pump and the low-pressure vane pump; the hidden resonance risk is preliminarily judged through frequency drift and amplitude gradient calculation; and S2, on the basis of the synchronous acquisition base line, carrying out cross spectrum coherence degree calculation and phase difference time sequence analysis on the pulsating pressure sequence, identifying a frequency dislocation anchor point, generating a pump source pulsating interference fingerprint, and determining a time window of recessive resonance. According to the method, real-time identification, dynamic intervention and closed-loop control of recessive resonance in the hydraulic system are realized through nanosecond-level synchronous acquisition, phase conjugate inversion and frequency dislocation traction strategies, energy coupling caused by frequency dislocation is effectively avoided, the operation stability and safety of the system are improved, and the service life of equipment is prolonged.

The invention discloses a self-adaptive parameter control system and method for a halfpace field rice transplanter based on full-hydraulic transmission, particularly relates to the technical field of hydraulic parameter control, and aims to solve the technical problem of dynamic power competition between a walking system and a planting device when the full-hydraulic transmission rice transplanter works in a halfpace field. Working pressure signals of a walking motor and a planting device are monitored in real time, the divergence degree of envelope lines of the two pressure signals is calculated so as to recognize the power competition state of a system, and when power competition is detected, the required power of two execution mechanisms is dynamically calculated, and a hydraulic pump displacement distribution coefficient is generated; and then the interaction characteristics of the outlet pressure of the main pump and the output flow signal and the transmission characteristics of the pressure signal of the executing mechanism are fused, the dynamic balance degree of the system is generated, the displacement distribution coefficient is corrected, and finally the opening degree of the walking motor and the proportional valve of the planting device is synchronously adjusted based on the corrected coefficient. Accurate distribution and dynamic balance control of the power of the hydraulic system are achieved.

A vacuum system comprises at least a pneumatic positioning device comprising a mount configured to hold an effecting element and a pneumatic actuator connected to the mount. A control valve is connected to the pneumatic actuator and to a fluid supply. A fluid sensor measures the pressure of the pneumatic actuator. A method includes applying a controlling signal to the control valve to vary the pressure of the pneumatic actuator and move the mount from a starting position to an end position, monitoring the pressure of the pneumatic actuator by the fluid sensor, determining when the mount arrives at the end position, and deriving the controlling parameters based on processing a set of observed parameters, wherein the set of observed parameters comprises at least the controlling signal, the varying pressure, and arrival information of the mount at the end position.

The invention provides a bearing load real-time monitoring and hydraulic pressure self-adaptive adjusting system and method, and the system comprises a signal sensing unit which is used for collecting a bearing vibration signal, a hydraulic system pressure signal and a main shaft rotating speed signal; and the signal processing and calculating unit is connected with the signal sensing unit and is used for processing the collected signals, estimating the bearing load based on a pre-trained soft measurement model and generating a hydraulic control instruction. The dependence of traditional bearing load monitoring on an expensive force sensor is broken through, and by integrating operation signals such as vibration, hydraulic pressure and rotating speed which are easy to obtain, the bearing load monitoring precision is improved. According to the method, the incidence relation between signals and loads is established through off-line modeling, non-intrusive load real-time estimation is achieved, meanwhile, feed-forward and feedback composite control is adopted, hydraulic pressure is adjusted in a self-adaptive mode according to the estimated loads, traditional empirical fixed setting is replaced, monitoring, adjusting, early warning and maintenance prompting functions are integrated, and real-time monitoring is achieved. The technical problems that a traditional scheme is high in cost, blind in adjustment and dispersed in function are effectively solved.

The invention discloses an electric forklift gantry synchronous inclination system and an inclination system control method, and relates to the technical field of vehicle engineering and electrical control, and the method comprises the following steps: establishing a time-frequency phase-locked observation baseline, and calibrating an abnormal trigger window by collecting a pressure wave change track of the gantry synchronous inclination system under a reverse pressure bearing condition; generating a pressure wave characteristic fingerprint and a time delay matrix as dynamic references for resonance path identification; and according to the pressure wave characteristic fingerprints and the time delay matrix, inverting a hydraulic pipeline reflection topology, identifying a pressure energy concentration area, extracting a resonance source anchor point, constructing a wave energy distribution diagram, and forming a space positioning basis of the standing wave risk. According to the method, hydraulic standing wave risk modeling and boundary extraction are achieved through time-frequency observation and resonance path recognition, a standing wave damping structure is constructed in combination with the phase conjugate test and track shaping technology, steady-state damping and high-precision synchronous inclination control of the portal under reverse pressure bearing are achieved, and the system stability and operation safety are improved.

The invention relates to the technical field of multi-cylinder synchronous control, in particular to an electro-hydraulic-mechanical dual-redundancy high-precision execution method and system for multi-cylinder synchronous control. The method comprises the following steps: acquiring design data of the multi-cylinder hydraulic jacking equipment, and constructing a multi-cylinder operation simulation model based on a geometric structure and the design data; estimating the dynamic load overrun condition of the gate, detecting the distortion increase condition of the gate structure, and monitoring the increase trend of the gate to overcome the resistance; the multi-cylinder operation simulation model is analyzed according to the gate overcome resistance increasing condition, the local cylinder mechanical degradation increasing trend is determined, and hydraulic oil flow control distortion data is detected according to the local cylinder mechanical degradation increasing trend; detecting multi-cylinder operation stroke deviation according to local cylinder body mechanical degradation and hydraulic oil flow distortion conditions, identifying a multi-cylinder synchronization abnormal trend, and performing optimization processing to obtain multi-cylinder synchronization optimization data; through multi-cylinder synchronous control, multi-cylinder synchronous control is more efficient.

The invention discloses a fault diagnosis method and system for hydraulic element general equipment, and relates to the technical field of hydraulic element fault diagnos.The method comprises the steps that control channels of the general equipment are recognized based on hydraulic elements, transient signals are collected in all the control channels in real time, preset interference constraints are introduced, and fault diagnosis is conducted on the general equipment; generating an interference factor through a high-entropy random disturbance source, performing disturbance analysis on the amplitude, the frequency and the waveform state of the transient signal, and generating an interference identifier; a health state vector is formed in combination with the operation working state, the deviation degree of the health state vector and the health baseline characteristic spectrum is compared, if the deviation degree is smaller than a standard deviation threshold value, a state evaluation strategy is executed in the first diagnosis channel, and a health stability trend is recognized; if the deviation degree is greater than or equal to the standard deviation threshold value, executing a fault diagnosis strategy in the second diagnosis channel, and identifying a fault sign; according to the invention, efficient division of labor of health assessment and fault diagnosis is realized, and the effect of accurately identifying fault signs is achieved.

The invention discloses a power plant intelligent tool management system based on multi-device interconnection, and relates to the technical field of intelligent device management, and the system realizes digital mirroring of hydraulic tools through a tool digital twin module, and synchronizes a use state and a loss condition in real time. Secondly, the tool state monitoring module accurately monitors the external and internal loss conditions of the hydraulic tool through laser scanning and infrared thermal imaging scanning technologies, meanwhile, dynamic pressure fluctuation is monitored in real time in combination with a water hammer effect coefficient, the influence of the water hammer effect on a hydraulic system is effectively recognized, hydraulic parameters are optimized, and the working efficiency is improved. And the damage of the water hammer effect to the tools is prevented, and the safety and durability of the equipment are improved. The secondary monitoring module continuously monitors vibration and resonance states after the self-healing strategy is executed, and once abnormity is recognized, an early warning instruction is generated in time, and emergency recovery and repair measures are taken, so that equipment damage caused by resonance is effectively avoided.

An open and closed circuit parallel drive system and a control method based on a four-chamber hydraulic cylinder are provided. The system includes: a closed pump-controlled drive unit and an open valve-controlled drive unit. The four-chamber hydraulic cylinder is driven by the open valve-controlled drive unit with a large load power, and the operating velocity and displacement of the four-chamber hydraulic cylinder are controlled by the closed pump-controlled drive unit with a small load power, thereby improving the linearity and stability of the four-chamber hydraulic cylinder control and reducing the system installed power and throttling loss.

The invention relates to the technical field of ship hoisting control, in particular to a ship hoisting heaving active control system based on hydraulic compensation, and adopts the technical scheme as follows: precise advanced prediction of heaving motion of a ship in future 2-5 seconds is realized by integrating a motion sensing and prediction module and adopting a time sequence prediction model based on a long short-term memory network; a core control decision module adopts a model prediction control strategy fused with multi-source data to uniformly optimize multiple targets such as load stability, energy consumption and equipment wear; internal and external state changes of the system are sensed in real time through a system state monitoring and self-adaption module, control parameters are adjusted on line based on a fuzzy rule base, and the system is endowed with self-adaption capacity for coping with load changes, sea condition fluctuation and component performance degradation in the whole life cycle; a closed volume control scheme that a servo motor directly drives a two-way metering pump is adopted in the hydraulic execution and compensation module, throttling loss in a traditional valve control system is abandoned, and efficient conversion between hydraulic energy and mechanical energy is achieved.

The invention discloses an oil cylinder sealing optimization system based on electromagnetic induction regulation and control, and the system comprises an electromagnetic induction unit, a coil of which generates an alternating magnetic field in a sealing area, and acts on a magnetic sensitive composite material sealing element; the sensor unit monitors the leakage rate, the temperature and the pressure in real time; the control unit executes a self-adaptive PID control algorithm, dynamically adjusts PID parameters according to sensor data, and outputs a PWM signal to control the electromagnetic induction unit so as to optimize the sealing performance in real time; the controllable alternating magnetic field is applied to the magnetic-sensitive sealing element through the electromagnetic induction unit, the elastic modulus and the contact pressure of the magnetic-sensitive sealing element are regulated in real time through the magnetocaloric or magnetostrictive effect, meanwhile, key parameters such as leakage, temperature and pressure are monitored in real time in combination with a sensor, and the sealing state is rapidly responded and dynamically adjusted through a self-adaptive PID algorithm in the control unit. Oil cylinder sealing can be self-optimized according to working condition changes, and the problem that traditional static sealing cannot adapt to dynamic working conditions is solved.