Radial plunger pump self-adaptive control system based on water pressure direct drive

Abstract

The invention discloses a radial plunger pump self-adaptive control system based on water pressure direct drive, and relates to the technical field of hydrodynamic force control. By integrating core technologies such as gap dynamic control, bionic microstructure friction reduction and matching pair material optimization, 10 MPa high-pressure output and water supply height self-adaptive matching is achieved. According to the system, a permanent magnet synchronous motor direct drive structure is adopted, a speed reducer is omitted, real-time monitoring of a sensor and a PI D self-adaptive algorithm are combined, a flow distribution pair gap is dynamically adjusted to be in the optimal lubricating state, meanwhile, frictional wear is reduced through a bionic micro-texture flow distribution plate, and the service life of equipment is prolonged. Compared with a traditional scheme, the system has the advantages that the pressure is increased by more than four times, the size is reduced, the energy consumption is reduced, foreign technical monopoly is broken, the system is suitable for scenes such as super high-rise building fire fighting and industrial high-pressure fluid conveying, and an efficient and reliable intelligent solution is provided for a high-pressure water hydraulic system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fluid power control, in particular to a radial plunger pump adaptive control system based on water pressure direct drive. BACKGROUND

[0002] In the field of super high-rise building fire fighting and industrial high-pressure fluid delivery, the pressure output capability of traditional hydraulic pumps and centrifugal pumps has become a core technical bottleneck. The existing fire pump rating pressure is generally only 2.5 MPa, and the theoretical water supply height limit is about 250 meters. However, in the fire rescue scenarios of super-hundred-meter buildings such as Shanghai Center (632 meters) and Dubai Khalifa Tower (828 meters), a pressure of more than 10 MPa is required to achieve effective water supply. The traditional equipment adopts a combination scheme of centrifugal pump + booster or imported high-pressure pump, which not only limits the direct improvement of pressure due to mechanical structure, but also derives problems such as high energy consumption (operation power up to 30 kW), large volume (equipment size 640x675x1285mm), and significant leakage risk, which cannot meet the fire fighting needs of super high-rise buildings for "high pressure direct supply and rapid response".

[0003] Although the existing technology attempts to improve pressure performance through material upgrading or multi-stage booster structure, it has always failed to break through the contradiction between "pressure-efficiency-volume". For example, although some high-pressure pumps can reach 10 MPa pressure, they lack gap dynamic compensation and lubrication adaptive adjustment mechanism, and under high pressure working condition, problems such as increased wear of flow distribution pair and failure of water film lubrication occur, resulting in a sharp drop of pump body efficiency by more than 40% and a service life shortened to 1 / 3 of ordinary equipment. This "reliability collapse under high pressure" technical defect makes the existing equipment unable to meet the continuous high pressure demand of super high-rise building fire fighting, and difficult to be applied on a large scale due to high maintenance cost, which becomes a core technical pain point restricting the development of the industry.

[0004] Therefore, the present application is proposed. SUMMARY

[0005] The purpose of the present application is to provide a radial plunger pump adaptive control system based on water pressure direct drive to solve the problems in the background art.

[0006] To solve the above technical problems, the radial plunger pump adaptive control system based on water pressure direct drive provided by the present application comprises:

[0007] The monitoring module is used to collect plunger pump operation parameters in real time, including flow distribution pair gap, fluid pressure, temperature and motor torque.

[0008] The control module is built-in adaptive algorithm, which calculates gap compensation, drive power adjustment value and lubrication state adjustment strategy based on operation parameters.

[0009] The driving module: a permanent magnet synchronous motor directly drives a radial plunger pump, and adjusts the motor speed and torque according to the instruction of the control module.

[0010] The execution module: including a gap adjustment mechanism and a bionic texture lubrication adjustment mechanism, for executing the compensation and adjustment instructions of the control module; through the cooperative work of the monitoring, control, driving and execution modules, the real-time perception and dynamic adjustment of the operating state of the water pressure direct drive radial plunger pump are realized, the adaptability of the system under different working conditions is improved, and the problems of insufficient pressure and high energy consumption of the existing water pump are effectively solved.

[0011] Further, in the monitoring module, a non-contact displacement sensor, a pressure sensor, a temperature sensor and a torque sensor are included for monitoring the gap between the flow distribution pair, the pump outlet pressure, the fluid temperature and the motor output torque; the integration of multiple types of sensors realizes comprehensive monitoring of pump operating parameters, provides accurate data support for adaptive control, improves the accuracy of system state judgment, and avoids control deviation caused by parameter monitoring lag.

[0012] Further, in the control module, the adaptive algorithm includes a gap compensation algorithm based on PID control and a lubrication state evaluation algorithm based on a fluid mechanics model; the PID control algorithm realizes dynamic compensation of the gap between the flow distribution pair, maintains the gap within a reasonable range, and reduces the leakage; the fluid mechanics model combines with the lubrication state evaluation to optimize the coupling effect of the bionic texture and the water film, improve the lubrication efficiency, and reduce the friction loss.

[0013] Further, the direct drive structure of the permanent magnet synchronous motor of the driving module eliminates the reducer, the motor speed adjustment range is 20 to 200 r / min, and the displacement of the plunger pump forms a closed loop matching control; the direct drive structure eliminates the energy loss and transmission error caused by the reducer, simplifies the system structure, and improves the transmission efficiency; the closed loop matching control realizes the dynamic adaptation of the motor speed and the pump displacement, ensures the stability of low speed operation, and reduces the energy.

[0014] Further, the gap adjustment mechanism of the execution module includes an outer ring fixed support and an inner ring elastic support structure, the inner ring realizes radial displacement adjustment through a piston mechanism controlled by a hydraulic servo valve, and the gap adjustment mechanism is linked with a numerical simulation model of the gap between the flow distribution pair; the gap adjustment mechanism controlled by the hydraulic servo valve realizes precise adjustment of the radial displacement of the inner ring, optimizes the adjustment strategy in combination with the numerical simulation model, ensures that the gap between the flow distribution pair is maintained in the best lubrication state, reduces friction and wear, and prolongs the service life of the pump.

[0015] Further, the bionic texture lubrication adjustment mechanism of the execution module includes a flow distribution disc with micro texture on the surface and a flow regulating valve, the micro texture has a diameter of 200-300 mu m and a depth of 500 mu m, and the flow regulating valve is used for adjusting the fluid flow rate according to the instruction of the control module; the bionic micro texture flow distribution disc reduces the wear rate by optimizing the relationship between the fluid supporting force and the lubrication film; the flow regulating valve dynamically adjusts the flow rate, so that the micro texture and the water flow form an optimal coupling state, further improving the lubrication effect and reducing the vibration noise.

[0016] Further, the pair of materials of the radial piston pump is 316L stainless steel and carbon fiber reinforced polyether ether ketone, and the control module is provided with a material wear warning model, when the abnormal increase of the friction coefficient is monitored, the pump operation pressure is automatically reduced; the pair of materials of 316L stainless steel and carbon fiber reinforced polyether ether ketone has excellent wear resistance and corrosion resistance, combined with the wear warning model, the pressure can be automatically adjusted when the material abnormally wears, so as to avoid equipment failure and prolong the system maintenance cycle.

[0017] Further, an energy consumption optimization module is further included: by comparing the current running power with the theoretical optimal power, the vector control parameters of the motor are dynamically adjusted; the energy consumption optimization module matches the running power with the theoretical optimal value in real time, and adjusts the vector control parameters to reduce energy loss, so that the energy consumption of the system is significantly reduced compared with the traditional scheme, and the energy utilization efficiency is improved.

[0018] Further, the control module communicates with the upper computer through the Modbus protocol, uploads the running data in real time, and supports remote setting of the pressure threshold and adaptive control mode switching; the Modbus communication protocol realizes real-time data interaction between the system and the upper computer, supports remote monitoring and parameter setting, improves the convenience and intelligent degree of equipment operation, and adapts to the remote management needs of industrial automation scenes.

[0019] A radial piston pump adaptive control system based on water pressure direct drive is applied to the super high-rise building fire water supply scene, can realize adaptive matching of water supply height under 10MPa pressure, and reduces error; the short adjustment period ensures the rapid response of the system to working condition changes, in the super high-rise building fire scene, through adaptive matching of pressure and water supply height, the water supply reliability is improved, the water supply height error caused by pressure fluctuation is reduced, and the fire rescue efficiency is ensured.

[0020] Compared with the prior art, the beneficial effects of the present application are:

[0021] 1. Through the coordinated adjustment of the adaptive control system, the core problem of insufficient pressure of the traditional water pump under the super-high pressure working condition is effectively solved, the water supply pressure is improved to the level meeting the fire demand of the super-high building, and through the direct drive structure and gap dynamic compensation design, the system energy consumption and operation noise are significantly reduced, the equipment volume is greatly reduced compared with the traditional scheme, and the high efficiency and compactness of high-pressure fluid delivery are realized.

[0022] 2. Through bionic micro-texture lubrication and material optimization matching, the wear resistance of the friction pair is obviously enhanced, the real-time wear monitoring and pressure adaptive adjustment strategy are combined, the service life of the equipment is prolonged, and the maintenance cost is reduced; based on the modular design and intelligent control algorithm, the equipment can automatically optimize the operating parameters according to different working conditions, the stability of high-pressure output is ensured, the adaptability of the system to complex working conditions is improved, and a reliable technical solution is provided for the super-high pressure fluid power application. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 It is a principle block diagram of a radial piston pump adaptive control system based on water pressure direct drive. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0025] Please refer to Figure 1 The present application provides a technical solution: a radial piston pump adaptive control system based on water pressure direct drive, comprising:

[0026] 1. System overall framework design

[0027] The radial piston pump adaptive control system based on water pressure direct drive proposed by the present application adopts a distributed hierarchical architecture, including a sensor layer, a data acquisition layer, a control decision layer, an execution layer and a communication layer.

[0028] 1.1 The sensor layer is responsible for monitoring the physical parameters of each key part of the pump body, specifically:

[0029] Flow distribution pair gap monitoring: an eddy current displacement sensor is used, model KD2306, measurement range 0-2mm, accuracy up to ±0.5μm, high accuracy;

[0030] Pressure monitoring: a ceramic piezoresistive pressure sensor is selected, model CYB130, range 0-16MPa, accuracy 0.1%FS, which belongs to the high accuracy type;

[0031] Temperature monitoring: with PT100 thermistor temperature sensor, -50℃-200℃ can be measured, accuracy ±0.1℃, high and low temperature can be used;

[0032] Torque monitoring: strain torque sensor, model JN338, 0-100N·m range, accuracy 0.1%FS, torque data accurate.

[0033] 1.2 The data acquisition layer uses industrial-grade data acquisition card PCI-1716L, 16-bit resolution, sampling rate up to 250kS / s, can be synchronized sampling, to ensure that the multi-channel data "walk in step". The acquisition card through the PCI bus with industrial computer "wire", the sensor signal conversion into digital signal.

[0034] 1.3 Control decision layer core is Advantech IPC-610H industrial computer, with Intel Core i7 processor, 8GB memory, 256GB SSD hard disk, running Windows10 IoT Enterprise Edition system, also installed MATLAB Runtime environment, dedicated to running adaptive control algorithm.

[0035] 1.4 The execution layer includes:

[0036] Gap adjustment actuator: P-611.3S type piezoelectric ceramic actuator, stroke 0-40μm, resolution 0.01μm, action is more precise;

[0037] Flow regulating actuator: D633-319 type electro-hydraulic servo valve, rated flow 63L / min, response frequency ≥100Hz, fast response speed;

[0038] Motor drive system: Mitsubishi FR-A840 type frequency converter with permanent magnet synchronous motor, 11kW power, speed range 0-3000r / min, flexible enough.

[0039] 1.5 Communication layer supports multiple protocols, Modbus RTU interacts with field devices, Profibus DP transmits data with PLC and other devices, Ethernet / IP can access factory automation network, good compatibility.

[0040] 2. Mechanical structure design and optimization

[0041] 2.1 Radial piston pump body design

[0042] This radial piston pump adopts seven piston structure, parameters as follows: displacement 0.122L / r, rated pressure 10MPa, maximum speed 200r / min; piston diameter φ16mm, stroke 12mm, distribution disc diameter φ120mm.

[0043] The pump body is made of high-strength ductile cast iron QT600-3, which is solid and durable. The cylinder body material is selected as 40CrNiMoA alloy steel, which is quenched and tempered to have a hardness of HRC 48-52, is wear-resistant and stable, and has a long service life.

[0044] 2.2 Design of flow distribution pair structure

[0045] The flow distribution pair is a planar flow distribution disc structure, and the flow distribution disc and the cylinder body end face form a friction pair. The flow distribution disc is made of 316L stainless steel and is surface-nitrided to have a hardness of HV1000 or more, and is wear-resistant. The cylinder body end face is made of carbon fiber reinforced polyether ether ketone (CFRPEEK) containing 30% carbon fiber, and has high self-lubricating and corrosion-resistant properties.

[0046] The surface of the flow distribution disc is processed with biomimetic micro-texture, which is made by laser micro-processing technology with the following parameters: micro-pit diameter 200-300 μm, depth 500 μm, pitch 500 μm, and area coverage rate 25%.

[0047] After optimization by CFD simulation, the micro-texture can reduce the friction coefficient of the flow distribution pair by 30% and the wear rate by 20%, which has a significant effect.

[0048] 2.3 Design of gap adjustment mechanism

[0049] The gap adjustment mechanism is controlled by hydraulic servo and mainly includes:

[0050] Elastic support ring: made of 65Mn spring steel with an elastic modulus of 200 GPa, which has good elasticity;

[0051] Hydraulic servo cylinder: inner diameter φ25 mm, stroke ±0.5 mm;

[0052] Displacement sensor real-time monitors the gap change;

[0053] The hydraulic pump station provides a stable hydraulic oil source of 6 MPa.

[0054] The working principle is as follows: when the control system finds that the gap of the flow distribution pair has changed, it controls the hydraulic oil into the servo cylinder through the electro-hydraulic servo valve, deforms the elastic support ring, adjusts the gap between the flow distribution disc and the cylinder body, and keeps it in the optimal range of 8-10 μm.

[0055] 3. Hardware system integration

[0056] 3.1 Sensor installation scheme

[0057] Each sensor is installed as follows:

[0058] Flow distribution pair gap sensor: non-contact eddy current sensor, installed on the pump body shell, measures the 0.5 mm distance between the end face and the outer circular surface of the flow distribution disc without contact, and can accurately measure;

[0059] Pressure sensor: Installed on the pump inlet and outlet pipes, with flange connection and tight seal;

[0060] Temperature sensor: Inserted into the oil chamber of the pump body, threaded connection, the temperature sensor head is in full contact with the oil;

[0061] Torque sensor: Installed between the shafts of the motor and the pump, connected by a coupling, ensuring accurate torque transmission.

[0062] All sensor signals are transmitted to the data acquisition card via shielded cables. The cables have a metal braided shielding layer and are grounded, providing strong anti-interference capabilities and reducing electromagnetic interference.

[0063] 3.2 Actuator Connection

[0064] The hydraulic servo valve of the clearance adjustment actuator is connected to the digital output module of the industrial control computer via an aviation connector, and the control signal is a ±10V analog signal. The motor frequency converter communicates with the industrial control computer via an RS485 interface, using the Modbus RTU protocol, and the speed adjustment is very precise.

[0065] The electro-hydraulic servo valve of the flow control actuator is connected to the analog output module of the industrial control computer, controlled by a 4-20mA current signal. The actuator's power cord uses flame-retardant cable; safety is paramount.

[0066] 3.3 Control Cabinet Design

[0067] The system uses a standard 19-inch industrial control cabinet, measuring 800mm × 600mm × 2000mm, with an IP54 protection rating. The internal component layout is as follows:

[0068] The upper layer houses communication equipment such as industrial control computers and switches;

[0069] The middle layer contains control equipment such as data acquisition cards and relay modules;

[0070] The lower layer houses power distribution equipment such as power modules, circuit breakers, and contactors;

[0071] A cooling fan and air filter are installed on the right side to ensure that the temperature inside the cabinet is between -10℃ and 50℃, providing a good operating environment for the equipment.

[0072] The control cabinet panel has operation buttons, indicator lights, and a touch screen, making on-site operation and monitoring convenient and easy to understand.

[0073] 4. Control Algorithm Design and Implementation

[0074] 4.1 Overall Architecture of Adaptive Control Algorithm

[0075] In this scheme, the adaptive control algorithm is designed hierarchically, including:

[0076] Data preprocessing layer: Cleans, filters, and normalizes sensor data;

[0077] State estimation layer: guess system state with Kalman filter algorithm;

[0078] Parameter identification layer: real-time system parameters with least squares method, dynamic update;

[0079] Control decision layer: rely on model predictive control (MPC) algorithm to control instruction;

[0080] Learning optimization layer: use neural network algorithm to optimize control parameters online.

[0081] 4.2 Gap adaptive control algorithm

[0082] Gap control with PID algorithm, steps as follows:

[0083] 1. Set a target gap d0 = 9 μm;

[0084] 2. Real-time sensor measures the current gap d;

[0085] 3. Calculate the error e = d - d0;

[0086] 4. Calculate PID output u = Kp·e + Ki·∫e·dt + Kd·de / dt;

[0087] 5. Convert u to the driving voltage of the piezoelectric ceramic actuator;

[0088] 6. Actuator adjusts the gap.

[0089] PID parameters are first set by Ziegler-Nichols method, initial Kp = 10, Ki = 0.5, Kd = 2. In order to make the system react faster and more stable, fuzzy adaptive PID is also added, which adjusts parameters in real time according to error e and error rate de / dt, and is flexible to use.

[0090] 4.3 Lubrication state evaluation algorithm

[0091] Evaluation algorithm combines fluid mechanics model and machine learning, steps:

[0092] 1. Collect pressure, temperature, flow and other parameters;

[0093] 2. Calculate Reynolds number Re = ρvd / μ to see if the fluid is laminar or turbulent;

[0094] 3. Calculate the oil film thickness h according to the equation of fluid mechanics;

[0095] 4. Calculate the friction coefficient μ = f(p, v, T, h);

[0096] 5. Use support vector machine (SVM) to classify the lubrication state into good, general and poor;

[0097] 6. Adjust the valve opening according to the classified flow rate, optimize lubrication, and it is equivalent to "on-demand oil supply" for the system.

[0098] 4.4 Energy consumption optimization control algorithm

[0099] Energy consumption optimization model predictive control (MPC), as follows:

[0100] 1. Build an energy consumption model P = f(p, q, η), p is pressure, q is flow rate, and η is efficiency;

[0101] 2. According to the current working condition and historical data, predict the future load demand, and predict in advance;

[0102] 3. On the premise of meeting the load, calculate how to minimize energy consumption, and solve min P;

[0103] 4. Generate the optimal control sequence, adjust the motor speed and pump displacement;

[0104] 5. Rolling optimization, constantly update the control sequence to ensure that it is always the optimal solution.

[0105] In this way, the system can reduce energy consumption by 15%-25% under different loads, saving energy and money.

[0106] 5. Software system development

[0107] 5.1 Software development environment

[0108] The software is modularly designed, and the development environment is:

[0109] The system uses Windows 10 IoT Enterprise;

[0110] The tool uses Visual Studio 2019;

[0111] The language uses C# and MATLAB;

[0112] The database uses SQL Server Compact Edition;

[0113] The communication library uses Modbus.NET and NModbus4, which is complete.

[0114] 5.2 Software function module design

[0115] The software has these modules:

[0116] Data acquisition module: real-time acquisition and preprocessing of sensor data;

[0117] Control algorithm module: calculate adaptive control strategy;

[0118] Execution control module: generate instructions to the actuator;

[0119] Data storage module: store operation data into database;

[0120] Human-machine interface module: provide operation interface and data visualization;

[0121] Communication management module: communicate with host computer and other devices.

[0122] Each module has clear division of labor and smooth cooperation.

[0123] 5.3 Human-machine interface design

[0124] The human-machine interface is developed with WPF, with good interactivity and visualization. The interface has:

[0125] Main monitoring interface: view the overall status of the system, key parameters and alarms;

[0126] Parameter setting interface: set operation and control parameters;

[0127] Trend analysis interface: view parameter history changes;

[0128] Alarm management interface: manage alarm records, confirmations, etc;

[0129] System configuration interface: configure hardware and communication.

[0130] The interface design conforms to industrial ergonomics, is simple to operate, and is comfortable to watch, allowing operators to quickly get started.

[0131] 6. System integration and debugging

[0132] 6.1 System integration process

[0133] Integration is done in this order:

[0134] 1. Install mechanical components: install pump body and gap adjustment mechanism according to drawings;

[0135] 2. Install sensors: install and connect signal cables;

[0136] 3. Install actuators: install servo valves, motors, etc. and connect control cables;

[0137] 4. Control cabinet wiring: install equipment and wiring;

[0138] 5. System integration: integrate all subsystems;

[0139] 6. Performance testing: test various indicators and optimize.

[0140] Install step by step, without panic and error.

[0141] 6.2 System debugging method

[0142] Debugging step-by-step debugging method:

[0143] 1. Hardware power-on check: check if the power is connected and the device is powered on normally;

[0144] 2. Sensor calibration: calibrate the sensor to ensure accurate data;

[0145] 3. Actuator debugging: individually adjust each actuator to ensure normal operation;

[0146] 4. Single loop debugging: adjust the gap, flow, pressure, and other single loops;

[0147] 5. Multi-loop debugging: adjust the coordination of each loop;

[0148] 6. Load debugging: test performance under different working conditions with load.

[0149] Make sure each step is adjusted properly to ensure the system is working properly.

[0150] 6.3 Performance testing and optimization

[0151] Test content includes:

[0152] Pressure characteristics: test pressure stability under different speeds and loads;

[0153] Flow characteristics: test flow regulation range and accuracy;

[0154] Dynamic response: test the reaction speed to step input;

[0155] Energy consumption test: test energy consumption under different working conditions;

[0156] Durability test: test continuous operation reliability.

[0157] Optimize based on test results, adjust control parameters, and improve mechanical structure to ensure system performance meets standards.

[0158] 7. Industrialization prospects and application fields

[0159] 7.1 Super high-rise building fire water supply: in super high-rise fire, it can provide stable high-pressure water, solve the problem of insufficient pressure of traditional pumps, ensure high-rise safety, and meet the demand.

[0160] 7.2 Ship hydraulic system: on ships, it can be used as a power source for steering engines and anchor machines, with small size, high efficiency, and reliability, suitable for small spaces and poor environments on ships.

[0161] 7.3 Industrial automation equipment: injection molding machines, die casting machines, numerical control machine tools, and other industrial equipment, which can accurately control pressure and flow, improve processing precision and production efficiency, and improve efficiency in factories.

[0162] 7.4 Marine engineering equipment: underwater robots, offshore platform hydraulic systems, etc. Marine equipment can adapt to seawater corrosion environment and provide reliable power, which is also needed for marine development.

[0163] 7.5 New energy field: wind power variable pitch system, solar tracking system, etc. New energy scenarios can accurately control angle and load, improve energy utilization, and meet the trend of green development.

[0164] After popularization, the system can provide high-performance, energy-saving and environmentally friendly hydraulic solutions for related industries, and promote the upgrading of industry technology.

Claims

1. An adaptive control system for a radial piston pump based on direct hydraulic drive, characterized in that: include: Monitoring module: used to collect real-time operating parameters of the plunger pump, including the flow distribution pair clearance, fluid pressure, temperature and motor torque; Control module: Built-in adaptive algorithm, which calculates clearance compensation, drive power adjustment value and lubrication status adjustment strategy based on operating parameters; Drive module: The radial piston pump is directly driven by a permanent magnet synchronous motor, and the motor speed and torque are adjusted according to the instructions of the control module. The execution module includes a gap adjustment mechanism and a biomimetic texture lubrication adjustment mechanism, which are used to execute the compensation and adjustment commands of the control module.

2. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The monitoring module includes a non-contact displacement sensor, a pressure sensor, a temperature sensor, and a torque sensor, which are used to monitor the flow distribution pair clearance, pump outlet pressure, fluid temperature, and motor output torque, respectively.

3. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The adaptive algorithms of the control module include a clearance compensation algorithm based on PID control and a lubrication state evaluation algorithm based on a fluid dynamics model.

4. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The permanent magnet synchronous motor direct drive structure of the drive module eliminates the need for a reducer, and the motor speed adjustment range is 20 to 200 r / min, forming a closed-loop matching control with the displacement of the plunger pump.

5. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The gap adjustment mechanism of the execution module includes an outer ring fixed bracket and an inner ring elastic support structure. The inner ring achieves radial displacement adjustment through a piston mechanism controlled by a hydraulic servo valve. The gap adjustment mechanism is linked with the numerical simulation model of the flow distribution pair gap.

6. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The biomimetic textured lubrication adjustment mechanism of the execution module includes a distribution plate with a microtextured surface and a flow regulating valve. The microtextured surface has a diameter of 200 to 300 μm and a depth of 500 μm. The flow regulating valve is used to adjust the fluid flow rate according to the instructions of the control module.

7. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The radial piston pump is equipped with 316L stainless steel and carbon fiber reinforced polyetheretherketone. The control module has a built-in material wear early warning model. When an abnormal increase in the friction coefficient is detected, the pump operating pressure is automatically reduced.

8. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: It also includes an energy consumption optimization module: dynamically adjusting the motor vector control parameters by comparing the current operating power with the theoretical optimal power.

9. The adaptive control system for a radial piston pump based on direct hydraulic drive as described in claim 1, characterized in that: The control module communicates with the host computer via the Modbus protocol, uploads operating data in real time, and supports remote setting of pressure thresholds and switching of adaptive control modes.

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