Self-adaptive electric cylinder based on artificial intelligence and control method

Abstract

The invention discloses a self-adaptive electric cylinder based on artificial intelligence and a control method. The self-adaptive electric cylinder comprises a cylinder body, a piston rod, a ball screw, a cylinder bottom, a piston, a driving motor, a transmission device and a control unit. The control unit comprises a data acquisition module, an intelligent data processing module and an intelligent control module, meanwhile, an artificial intelligence large model and a preset electric cylinder optimal working model are integrally arranged in the control unit, and the intelligent data processing module and the intelligent control module both depend on the artificial intelligence large model to achieve working operation. According to the method, the artificial intelligence large model is combined with the preset optimal working model of the electric cylinder, a closed-loop control system is constructed, and therefore the problems that a traditional electric cylinder is limited in data collection dimension, low in transmission processing efficiency and unreasonable in control strategy are solved. The artificial intelligence technology is deeply integrated into the control unit, real-time monitoring and dynamic adjustment of the operation state of the electric cylinder are achieved, and the quick response capacity of the system under the complex working condition is ensured.

Description

Technical Field

[0001] This invention relates to the field of electric cylinder technology, and in particular to an adaptive electric cylinder and control method based on artificial intelligence. Background Technology

[0002] In industrial automation systems, electric cylinders, as core actuators, directly impact the accuracy and stability of equipment operation. Under current technological conditions, the intelligent development of electric cylinders faces significant challenges. On one hand, there are obvious deficiencies in data acquisition. Existing solutions rely on relatively simple methods for monitoring load and speed, and the sensor placement results in narrow data acquisition dimensions. Signals are susceptible to environmental interference, making data accuracy difficult to guarantee and failing to fully reflect the true state of the electric cylinder under complex working conditions. For example, the acquisition of tension, compression, and displacement data often suffers distortion due to improper sensor placement or excessively long signal transmission paths, especially in vibration or high-temperature environments where data drift is prominent. On the other hand, data processing and control mechanisms face bottlenecks. Traditional electric cylinder control units often employ remote deployment, requiring data to be transmitted over long distances to reach the processing module, causing signal delays and packet loss risks, severely hindering real-time analysis capabilities. Simultaneously, existing adaptive control systems rely on fixed parameters or simple models. When working conditions change rapidly, the algorithm response is slow, failing to adjust the control strategy in time, leading to shocks or instability during the motion process. In scenarios requiring high-precision control, such as semiconductor manufacturing or precision assembly, this limitation is particularly pronounced, manifesting as large speed fluctuations and significant positioning deviations, making it difficult to meet stringent process requirements. Furthermore, while attempts to introduce artificial intelligence technology have been made, limitations in data quality and algorithm efficiency often lead to problems such as decision lag and rigid control logic in practical applications, failing to effectively improve the adaptive capabilities and operational reliability of electric cylinders. Summary of the Invention

[0003] In view of this, the present invention provides an adaptive electric cylinder based on artificial intelligence, which solves the problems of inaccurate data acquisition and slow control response of electric cylinders under complex working conditions, realizes real-time adaptive control, and improves operating accuracy and stability.

[0004] To achieve the above objectives, the present invention provides the following technical solution: An artificial intelligence-based adaptive electric cylinder includes: a cylinder body, a piston rod, a ball screw, a cylinder bottom, a piston, a drive motor, a transmission device, and a control unit. The drive motor, transmission device, ball screw, and piston rod are sequentially connected for transmission. The control unit is signal-connected to the drive motor to control its operation. The control unit includes a data acquisition module, an intelligent data processing module, and an intelligent control module. Furthermore, the control unit integrates a large-scale artificial intelligence model and a preset optimal working model for the electric cylinder. Both the intelligent data processing module and the intelligent control module rely on the large-scale artificial intelligence model for operation.

[0005] Preferably, the AI-based adaptive electric cylinder further includes a tension / compression sensor, which is installed between the cylinder bottom and the cylinder body. The tension / compression sensor is used to collect the tension / compression loads experienced by the electric cylinder during operation, and the tension / compression sensor is signal-connected to the control unit.

[0006] Preferably, the AI-based adaptive electric cylinder further includes a magnetostrictive displacement sensor, which has a fixed end and a movable end. The fixed end is fixedly installed on the transmission device, and the movable end is fixedly installed on the piston. The magnetostrictive displacement sensor is used to check the displacement and speed of the piston rod during movement, and the magnetostrictive displacement sensor is signal-connected to the control unit.

[0007] Preferably, the AI-based adaptive electric cylinder further includes a three-proof device and a mounting box, the control unit is integrated in the three-proof device, and the three-proof device is fixedly installed in the mounting box located on the cylinder body.

[0008] This invention also proposes a control method for an artificial intelligence-based adaptive electric cylinder, applied to the artificial intelligence-based adaptive electric cylinder described in any of the above embodiments, comprising the following: The control unit acquires in real time the tensile and compressive load data of the electric cylinder transmitted by the tensile and compressive load sensors and the piston rod displacement and movement speed data transmitted by the magnetostrictive displacement sensor; The control unit uses a large artificial intelligence model to compare, analyze, and process the collected data with the preset optimal working model of the electric cylinder, and outputs control commands to control the drive motor.

[0009] Preferably, the data processing flow of the control unit specifically includes: the data acquisition module collects the tensile and compressive load data of the electric cylinder and the displacement and speed data of the piston rod in real time, and transmits the acquired data to the intelligent data processing module in real time; the intelligent data processing module uses an artificial intelligence big data model to compare, analyze and process the received data with the preset optimal working model of the electric cylinder, and transmits the processing results to the intelligent control module; the intelligent control module determines the control scheme of the drive motor based on the received processing results using the artificial intelligence big data model, and outputs the corresponding control commands to the drive motor.

[0010] Preferably, the overload alarm function of the control unit specifically includes: when the control unit determines that the current electric cylinder is overloaded, the control unit sends an overload alarm signal to the audible and visual alarm module or the control center. At the same time, the control unit outputs corresponding control commands to control the drive motor to brake and realize the piston rod to slowly extend or retract.

[0011] Preferably, when the load on the electric cylinder changes rapidly, the control unit uses a large artificial intelligence model to determine the motion control method and outputs corresponding control commands to control the operation of the drive motor.

[0012] Preferably, the overspeed alarm function of the control unit specifically includes: when the control unit determines that the current electric cylinder is overspeeding, the control unit sends an overspeed signal to the audible and visual alarm module or the control center. At the same time, the control unit uses an artificial intelligence big data model to adjust the control signal in real time to ensure that the operating speed of the electric cylinder meets the design requirements, thus playing an adaptive function.

[0013] Preferably, the precise position control function of the control unit specifically includes: the control unit monitors the piston rod displacement in real time through a magnetostrictive displacement sensor, and uses an artificial intelligence large model to determine the control scheme in order to achieve precise control of the piston rod.

[0014] The beneficial effects of this invention are as follows: Compared with the prior art, this application constructs a closed-loop control system by combining a large-scale artificial intelligence model with a preset optimal working model for the electric cylinder, thereby solving the problems of limited data acquisition dimensions, low transmission and processing efficiency, and unreasonable control strategies in traditional electric cylinders. By deeply integrating artificial intelligence technology into the control unit, real-time monitoring and dynamic adjustment of the electric cylinder's operating status are achieved, ensuring the system's rapid response capability under complex working conditions.

[0015] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of the artificial intelligence-based adaptive electric cylinder of the present invention.

[0017] Figure label: 1. Cylinder block; 2. Piston rod; 3. Ball screw; 4. Cylinder bottom; 5. Tension / compression sensor; 6. Magnetostrictive displacement sensor; 7. Piston; 8. Control unit; 9. Drive motor; 10. Transmission device. Detailed Implementation

[0018] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0019] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0020] The following is for reference. Figure 1 This invention describes an artificial intelligence-based adaptive electric cylinder in an embodiment of the invention.

[0021] This application discloses an artificial intelligence-based adaptive electric cylinder, comprising: a cylinder body 1, a piston rod 2, a ball screw 3, a cylinder bottom 4, a piston 7, a drive motor 9, a transmission device 10, and a control unit 8; the drive motor 9, the transmission device 10, the ball screw 3, and the piston rod 2 are sequentially connected for transmission, and the control unit 8 is signal-connected to the drive motor 9 to control the operation of the drive motor 9; the control unit 8 includes a data acquisition module, an intelligent data processing module, and an intelligent control module. Furthermore, the control unit 8 integrates an artificial intelligence large-scale model and a preset optimal working model for the electric cylinder. Both the intelligent data processing module and the intelligent control module rely on the artificial intelligence large-scale model to achieve their operation.

[0022] The control unit 8 can be understood as a device for receiving, processing, and outputting control signals. The data acquisition module acquires relevant parameters during the operation of the electric cylinder. The intelligent data processing module analyzes and processes the received data, employing machine learning algorithms, deep learning frameworks, or rule engines to perform data modeling and optimization. The intelligent control module generates control commands, dynamically adjusting the drive motor 9 using PID control algorithms, fuzzy control algorithms, or reinforcement learning algorithms.

[0023] In practical applications, a large-scale AI model can be understood as an algorithmic framework with powerful computational and generalization capabilities. It can extract characteristic patterns of the electric cylinder's operating state by learning from large amounts of historical data. For example, a large-scale AI model can use convolutional neural networks, recurrent neural networks, or Transformer architectures to efficiently process multidimensional data. A preset optimal operating model for the electric cylinder is an ideal operating state reference constructed based on experimental data or theoretical derivation. It can be generated using mathematical modeling tools, simulation software, or expert systems. Specifically, this model can describe the optimal operating parameters of the electric cylinder under different working conditions.

[0024] The innovation of this application lies in combining a large-scale artificial intelligence model with a preset optimal operating model for the electric cylinder to construct a closed-loop control system. This solves the problems of limited data acquisition dimensions, low transmission and processing efficiency, and unreasonable control strategies in traditional electric cylinders. By deeply integrating artificial intelligence technology into the control unit 8, real-time monitoring and dynamic adjustment of the electric cylinder's operating status are achieved, ensuring the system's rapid response capability under complex operating conditions.

[0025] The working principle of this application embodiment is as follows: An artificial intelligence-based adaptive electric cylinder achieves its function through the coordinated operation of a cylinder body 1, piston rod 2, ball screw 3, cylinder bottom 4, piston 7, drive motor 9, transmission device 10, and control unit 8. The drive motor 9, transmission device 10, ball screw 3, and piston rod 2 are sequentially connected to ensure the continuity and accuracy of power transmission, thereby efficiently converting the kinetic energy of the drive motor 9 into the mechanical motion of the piston rod 2. The control unit 8 is signal-connected to the drive motor 9, establishing a direct control channel, reducing signal transmission delay, and improving response speed. The control unit 8 includes a data acquisition module, an intelligent data processing module, and an intelligent control module, with clearly defined functions forming a complete control chain. The data acquisition module is responsible for acquiring operational data in real time, the intelligent data processing module analyzes and processes the data, and the intelligent control module generates control commands to ensure efficient data flow.

[0026] Furthermore, the control unit 8 integrates a large-scale artificial intelligence model and a preset optimal working model for the electric cylinder. The large-scale artificial intelligence model provides powerful data processing capabilities, while the preset optimal working model serves as an optimization benchmark. The combination of these two allows the system to quickly compare the current state with the ideal state. Thus, both the intelligent data processing module and the intelligent control module rely on the large-scale artificial intelligence model for operation, ensuring that data processing and decision-making processes are based on it, significantly improving processing efficiency and strategy rationality. Specifically, after the data acquisition module acquires operational data in real time, the intelligent data processing module uses the large-scale artificial intelligence model to compare and analyze the data with the preset model. Based on this, the intelligent control module generates precise control commands, directly controlling the drive motor 9 through signal connections, forming a fast-response closed-loop control. For example, when facing complex operating conditions, this technical solution can quickly adjust the control strategy through the large-scale artificial intelligence model, avoiding the decision delays and unreasonable control problems existing in traditional control methods. As a preferred implementation method, this closed-loop control mechanism effectively solves the problems of limited data acquisition dimensions, low transmission and processing efficiency, slow processing speed of the artificial intelligence model, and unreasonable control strategies, achieving efficient adaptive operation of the electric cylinder under various operating conditions.

[0027] In some embodiments, for example Figure 1 As shown, the AI-based adaptive electric cylinder also includes a tension / compression sensor 5, which is installed between the cylinder bottom 4 and the cylinder body 1. The tension / compression sensor 5 is used to collect the tension and compression loads experienced by the electric cylinder during operation, and is connected to the control unit 8.

[0028] Among them, the tension / compression sensor 5 refers to a sensing device capable of detecting the tension or compression force applied to an object. In practical applications, the installation position of the tension / compression sensor 5 directly affects the core force interface of the electric cylinder. This design aims to accurately capture the axial force change between the cylinder body 1 and the cylinder bottom 4, avoiding data distortion caused by mechanical clearance or external interference in traditional indirect measurement methods. Simultaneously, the signal connection between the tension / compression sensor 5 and the control unit 8 establishes a low-latency data transmission channel, ensuring that load information can be quickly transmitted to the control unit 8, thereby providing the necessary input for subsequent intelligent decision-making.

[0029] Specifically, the tension / compression sensor 5, installed between the cylinder bottom 4 and the cylinder body 1, enables continuous dynamic monitoring of the electric cylinder's operating status. When the electric cylinder is in operation, the tension / compression sensor 5 can collect the tension and compressive loads it receives in real time and transmit this data to the control unit 8. The control unit 8 analyzes and processes the received load data based on an artificial intelligence model, triggering a braking protection mechanism when an overload occurs, causing the piston rod 2 to move slowly to prevent equipment damage. Simultaneously, under rapidly changing load conditions, the system can dynamically adjust the control strategy of the drive motor 9, effectively suppressing motion shocks and improving equipment safety and operational stability. Furthermore, the introduction of the tension / compression sensor 5 compensates for the key deficiencies in load monitoring of the electric cylinder system, providing a reliable data foundation for adaptive control, enabling the entire system to better adapt to the operational needs under complex working conditions.

[0030] Through the above technical solutions, electric cylinders can respond promptly and make intelligent adjustments under overload or sudden load changes, significantly improving the safety, stability and intelligence of the equipment.

[0031] In some embodiments, for example Figure 1 As shown, the AI-based adaptive electric cylinder also includes a magnetostrictive displacement sensor 6. The magnetostrictive displacement sensor 6 has a fixed end and a movable end. The fixed end is fixedly installed on the transmission device 10, and the movable end is fixedly installed on the piston 7. The magnetostrictive displacement sensor 6 is used to check the displacement and speed of the piston rod 2 during movement. The magnetostrictive displacement sensor 6 is connected to the control unit 8 via signal.

[0032] Among them, the magnetostrictive displacement sensor 6 refers to a high-precision displacement measurement device designed based on the principle of magnetostriction. In practical applications, the fixed end refers to the part of the sensor that remains stationary, which can be fixed to the transmission device 10 by means of a rigid bracket or bolt connection to ensure the stability of the measurement reference. The movable end refers to the part that moves synchronously with the measured part, thereby reflecting the actual displacement state of the piston 7 in real time. The purpose of introducing this sensor is to provide direct and reliable displacement and velocity feedback data to overcome the error problems caused by traditional indirect calculation methods.

[0033] Specifically, the magnetostrictive displacement sensor 6 is rigidly connected to the transmission device 10 through its fixed end, ensuring the stability of the measurement reference point and avoiding measurement drift caused by the vibration of the cylinder 1. The tight coupling design between the moving end and the piston 7 allows the sensor to accurately capture the displacement changes of the piston 7 and transmit this data to the control unit 8 in real time. The control unit 8 uses a large artificial intelligence model to analyze and process the received displacement and velocity data, dynamically adjusting the operating state of the drive motor 9 to achieve precise control of the piston rod 2's movement. Furthermore, since the sensor directly acquires the actual motion state of the piston rod 2, it effectively avoids the influence of the cumulative errors of the transmission device 10 and the ball screw 3, significantly improving the system's response speed and control accuracy. This solution not only solves the speed fluctuation problem when the load changes rapidly but also provides a reliable technical guarantee for the adaptive control of the electric cylinder.

[0034] In some embodiments, the AI-based adaptive electric cylinder further includes a dustproof, waterproof, and shockproof device and a mounting box. The control unit 8 is integrated within the dustproof device, which is fixedly mounted in the mounting box located on the cylinder body 1. The dustproof device refers to a protective structure with dustproof, waterproof, and shockproof functions. The mounting box can be a dedicated bracket or an embedded structure fixed to the cylinder body 1, its purpose being to provide a precise mounting reference point for the dustproof device, ensuring a significant reduction in the physical distance between the control unit 8 and the sensor.

[0035] Specifically, this solution fundamentally optimizes data transmission paths and environmental adaptability by integrating the control unit 8 into a protective structure on the cylinder body 1. The tri-proof device provides dustproof, waterproof, and shockproof protection, preventing harsh environmental factors in industrial settings from directly intruding into the control unit 8 and ensuring its electrical stability during long-term operation. The mounting box, fixed to the cylinder body 1, significantly shortens the physical distance between the control unit 8 and the sensor, reducing the risk of signal attenuation. The integration of the control unit 8 within the tri-proof device achieves compact packaging of the data acquisition and processing module, avoiding signal interference and delays caused by traditional remote wiring, thereby ensuring the integrity and timeliness of sensor data. The tri-proof device, fixedly installed in the mounting box on the cylinder body 1, forms an integrated structure between the control unit 8 and the electric cylinder body, allowing data flow to directly drive the motor 9 without external relay, significantly improving the system's response speed and control reliability to changes in operating conditions, and providing a high-quality data foundation for real-time decision-making by large-scale artificial intelligence models.

[0036] This invention also proposes a control method for an artificial intelligence-based adaptive electric cylinder, applied to the artificial intelligence-based adaptive electric cylinder described in any of the above embodiments, comprising the following: The control unit 8 acquires the tensile and compressive load data of the electric cylinder transmitted by the tensile and compressive sensor 5 and the displacement and speed data of the piston rod 2 transmitted by the magnetostrictive displacement sensor 6 in real time. The control unit 8 uses an artificial intelligence big data model to compare, analyze and process the acquired data with the preset optimal working model of the electric cylinder, and outputs control commands to control the drive motor 9.

[0037] In this embodiment, by combining the multi-dimensional operational data collected by the tension / compression sensor 5 and the magnetostrictive displacement sensor 6 with an artificial intelligence model, and performing dynamic comparative analysis based on a preset optimal working model of the electric cylinder, the problem of untimely control response and insufficient accuracy of traditional electric cylinders when the load changes rapidly or the speed is abnormal is solved. Specifically, this technical solution achieves comprehensive monitoring and rapid decision-making of the electric cylinder's operating status, significantly improving the system's adaptive capability under complex working conditions, and achieving a dual optimization effect of operational stability and control accuracy.

[0038] In practical applications, the control unit 8, through its integrated large-scale artificial intelligence model and preset optimal operating model for the electric cylinder, can quickly complete data processing and strategy generation. For example, when faced with scenarios involving sudden load changes on an aerial work platform, this technical solution can instantly adjust the control parameters of the drive motor 9 to ensure smooth movement of the piston rod 2 that meets design requirements. Simultaneously, precise monitoring of displacement and speed further enhances the system's response speed and control accuracy, meeting the demands of high-precision industrial applications.

[0039] In some embodiments, the data processing flow of the control unit 8 specifically includes: The data acquisition module collects the tensile and compressive load data of the electric cylinder and the displacement and speed data of the piston rod 2 in real time, and transmits the acquired data to the intelligent data processing module in real time. The intelligent data processing module uses an artificial intelligence big data model to compare, analyze, and process the received data with the preset optimal working model of the electric cylinder, and transmits the processing results to the intelligent control module. Based on the received processing results, the intelligent control module uses an artificial intelligence model to determine the control scheme for the drive motor 9 and outputs corresponding control commands to the drive motor 9.

[0040] Specifically, the aforementioned data processing flow achieves efficient operation throughout the entire process from data acquisition to command output by constructing a modular, real-time closed-loop system. The data acquisition module collects and transmits tensile and compressive loads, displacement, and velocity data in real time, ensuring the immediacy and integrity of the raw data. The intelligent data processing module utilizes a large-scale artificial intelligence model to compare and analyze the received data with a preset optimal working model, fully leveraging the deep learning capabilities of the large model to process multi-dimensional, non-linear data and identify potential problems. Based on the processing results, the intelligent control module uses the large-scale artificial intelligence model to determine the control scheme and output commands, achieving rapid transformation from analysis to execution.

[0041] Based on this, the above process works organically with the overall structure of the aforementioned electric cylinder. For example, the precise data provided by the tension / compression sensor 5 and the magnetostrictive displacement sensor 6 provides a reliable basis for the analysis of the intelligent data processing module, while the commands output by the intelligent control module directly act on the drive motor 9, thereby ensuring the electric cylinder's adaptive capability under complex working conditions. Through the above technical solution, the problems of low data processing efficiency and slow response are effectively solved, significantly improving the control accuracy and adaptive performance of the electric cylinder.

[0042] In some embodiments, the overload alarm function of the control unit 8 specifically includes: when the control unit 8 determines that the current electric cylinder is overloaded, the control unit 8 sends an overload alarm signal to the audible and visual alarm module or the control center. At the same time, the control unit 8 outputs a corresponding control command to control the drive motor 9 to brake so that the piston rod 2 can slowly extend or retract.

[0043] The overload alarm signal is an electrical signal generated when the tensile or compressive load of the electric cylinder exceeds a preset safety range. It can be transmitted to the audible and visual alarm module or control center via wired or wireless means. In practical applications, the audible and visual alarm module can be an audible and visual alarm installed near the equipment to alert operators on-site; the control center can be a remote monitoring system, allowing managers to monitor the equipment status in real time. The purpose of introducing this feature is to promptly notify relevant personnel to take measures and avoid equipment damage or accidents due to information delays. Braking of the drive motor 9 refers to the process of gradually reducing its output torque and eventually stopping it by adjusting its operating parameters. This process can be achieved by changing parameters such as the current, voltage, or frequency of the drive motor 9, for example, by using PWM modulation technology to gradually reduce the motor's input power. Its purpose is to release mechanical stress through slow movement rather than sudden stopping, thereby protecting critical components such as the ball screw 3 and piston rod 2 from impact damage.

[0044] Specifically, when the control unit 8 determines that the electric cylinder is overloaded based on the data collected by the tension / compression sensor 5, the artificial intelligence big data model quickly analyzes the current load and triggers the protection mechanism. At this time, the control unit 8 sends an alarm signal to the audible and visual alarm module or the control center, and dynamically adjusts the braking strategy of the drive motor 9 according to the degree of overload. In this way, not only can relevant personnel be notified of abnormal situations in a timely manner, but the stability of the system can also be maintained during the protection process. In addition, by using the artificial intelligence big data model to optimize the motion trajectory, it ensures that the piston rod 2 extends or retracts at a smooth speed during braking, effectively preventing mechanical shock caused by sudden stopping, demonstrating the advantages of intelligent adaptive control in terms of safety protection.

[0045] The above solution integrates overload detection and intelligent protection mechanisms, which solves the problem of electric cylinders lacking effective automatic alarms and dynamic protection under overload conditions, ensuring that the system can respond autonomously and maintain equipment integrity under abnormal conditions.

[0046] In some embodiments, when the load on the electric cylinder changes rapidly, the control unit 8 uses an artificial intelligence big data model to determine the motion control method and outputs corresponding control commands to control the operation of the drive motor 9.

[0047] Specifically, when the load on the electric cylinder changes abruptly, the tension / compression sensor 5 collects load change data in real time and transmits it to the control unit 8. The intelligent data processing module in the control unit 8, relying on a large-scale artificial intelligence model, compares and analyzes the collected load data with a preset optimal working model to quickly identify the characteristics of the load change. Based on this, the intelligent control module determines a motion control method suitable for the current working condition based on the analysis results, suppressing mechanical shock by adjusting the output characteristics of the drive motor 9. This process ensures that the piston rod 2 maintains stable movement even during sudden load changes, effectively avoiding the response lag problem caused by traditional fixed-parameter control.

[0048] Through the above technical solution, the system can respond to sudden load changes within milliseconds, significantly improving the operational stability and safety of the electric cylinder under complex working conditions. Especially in applications such as aerial work platforms, this solution ensures the smooth movement of the mechanical structure when the load suddenly increases or decreases, thereby improving equipment safety and user comfort.

[0049] In some embodiments, the overspeed alarm function of the control unit 8 specifically includes: when the control unit 8 determines that the current electric cylinder is overspeeding, the control unit 8 sends an overspeed signal to the audible and visual alarm module or the control center. At the same time, the control unit 8 uses an artificial intelligence big data model to adjust the control signal in real time to ensure that the operating speed of the electric cylinder meets the design requirements, thus playing an adaptive function.

[0050] The overspeed alarm function refers to the process where, during the operation of the electric cylinder, the speed data fed back by the magnetostrictive displacement sensor 6 is analyzed by the intelligent data processing module in the control unit 8 to determine whether the current operating speed exceeds a preset safety threshold. Furthermore, the artificial intelligence big data model is an algorithm framework with deep learning capabilities that can quickly generate dynamically optimized control commands based on real-time data streams, ensuring that the operating parameters of the drive motor 9 are corrected in real time.

[0051] Specifically, the above technical solution effectively solves the problems of lag and insufficient adjustment in the response of the electric cylinder under overspeed conditions by integrating overspeed alarm with a real-time control mechanism driven by artificial intelligence. When the magnetostrictive displacement sensor 6 detects that the movement speed of the piston rod 2 exceeds the safe range, the control unit 8 immediately triggers an alarm signal and sends it to the audible and visual alarm module or the control center so that the operator can take timely measures. At the same time, the intelligent control module in the control unit 8, relying on the artificial intelligence model, dynamically adjusts the operating parameters of the drive motor 9 to ensure that the operating speed of the electric cylinder always remains within the design requirements. This mechanism not only strengthens the system's fault warning capability, but also, through the deep learning characteristics of the artificial intelligence model, makes the adjustment process of the control signal highly adaptable to the environment, ensuring speed stability even under complex working conditions such as sudden load changes, ultimately realizing the reliable performance of the electric cylinder's adaptive function.

[0052] Based on this, the above technical solution forms an organic whole with the aforementioned content. For example, the tension / compression sensor 5 and the magnetostrictive displacement sensor 6 provide the control unit 8 with accurate load and speed data, while the three-proof device and mounting box provide the control unit 8 with a stable operating environment. These components work together to enable the entire system to maintain efficient and stable operation under complex working conditions, significantly improving the safety and adaptability of the electric cylinder.

[0053] In some embodiments, the precise position control function of the control unit 8 specifically includes: the control unit 8 monitors the displacement of the piston rod 2 in real time through the magnetostrictive displacement sensor 6, and uses an artificial intelligence large model to determine the control scheme in order to achieve precise control of the piston rod 2.

[0054] Specifically, this technical solution uses a magnetostrictive displacement sensor 6 to monitor the displacement of the piston rod 2 in real time and transmits the collected displacement data to the control unit 8. The intelligent data processing module in the control unit 8 analyzes the received displacement data and compares it with a preset optimal working model to identify the current displacement deviation and its cause. Subsequently, the intelligent control module generates corresponding control commands based on an artificial intelligence model to adjust the operating state of the drive motor 9, thereby compensating for errors generated during manufacturing, wear, or external disturbances in mechanical components such as the transmission device 10 and the ball screw 3. This process not only achieves closed-loop control of the piston rod 2's displacement but also allows for real-time adjustment of control parameters to address dynamic changes under complex working conditions, ensuring stable positioning performance of the electric cylinder in high-precision scenarios such as semiconductor manufacturing and aerospace.

[0055] Furthermore, the above-mentioned solution effectively solves the problem of insufficient positional accuracy caused by inherent errors in the mechanical system in traditional methods by integrating real-time displacement feedback with AI-driven dynamic control optimization. For example, when faced with nonlinear errors in the transmission device 10 or wear of the ball screw 3, the magnetostrictive displacement sensor 6 can accurately capture these deviations and generate targeted compensation strategies through a large AI model, thereby significantly improving the robustness and repeatability of position control. Simultaneously, this solution can also quickly adjust control parameters under changes in external loads or environmental disturbances, ensuring that the electric cylinder can achieve high-precision displacement control under various operating conditions.

[0056] Other configurations and operations of the AI-based adaptive electric cylinder and control method according to embodiments of the present invention are known to those skilled in the art and will not be described in detail here.

[0057] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0058] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. An adaptive electric cylinder based on artificial intelligence, characterized in that, include: Cylinder block, piston rod, ball screw, cylinder bottom, piston, drive motor, transmission device and control unit; The drive motor, the transmission device, the ball screw, and the piston rod are sequentially connected in a transmission manner, and the control unit is signal-connected to the drive motor to control the operation of the drive motor; The control unit includes a data acquisition module, an intelligent data processing module, and an intelligent control module. Furthermore, the control unit integrates a large-scale artificial intelligence model and a preset optimal working model for the electric cylinder. Both the intelligent data processing module and the intelligent control module rely on the large-scale artificial intelligence model for their operation.

2. The adaptive electric cylinder based on artificial intelligence according to claim 1, characterized in that, It also includes a tension / compression sensor, which is installed between the cylinder bottom and the cylinder body. The tension / compression sensor is used to collect the tension / compression loads experienced by the electric cylinder during operation, and the tension / compression sensor is signal-connected to the control unit.

3. The adaptive electric cylinder based on artificial intelligence according to claim 1, characterized in that, It also includes a magnetostrictive displacement sensor, which has a fixed end and a movable end. The fixed end is fixedly installed on the transmission device, and the movable end is fixedly installed on the piston. The magnetostrictive displacement sensor is used to check the displacement and speed of the piston rod during movement. The magnetostrictive displacement sensor is signal-connected to the control unit.

4. The adaptive electric cylinder based on artificial intelligence according to claim 1, characterized in that, It also includes a three-proof device and a mounting box, the control unit is integrated in the three-proof device, and the three-proof device is fixedly installed in the mounting box located on the cylinder block.

5. A control method for an adaptive electric cylinder based on artificial intelligence, characterized in that, The AI-based adaptive electric cylinder applied to any one of claims 1-4 includes the following: The control unit acquires in real time the tensile and compressive load data of the electric cylinder transmitted by the tensile and compressive load sensors and the piston rod displacement and movement speed data transmitted by the magnetostrictive displacement sensor; The control unit uses a large artificial intelligence model to compare, analyze, and process the collected data with the preset optimal working model of the electric cylinder, and outputs control commands to control the drive motor.

6. The control method for an adaptive electric cylinder based on artificial intelligence according to claim 5, characterized in that, The data processing flow of the control unit specifically includes: The data acquisition module collects the tensile and compressive load data of the electric cylinder and the displacement and speed data of the piston rod in real time, and transmits the acquired data to the intelligent data processing module in real time. The intelligent data processing module uses an artificial intelligence big data model to compare, analyze, and process the received data with the preset optimal working model of the electric cylinder, and transmits the processing results to the intelligent control module. Based on the received processing results, the intelligent control module uses a large artificial intelligence model to determine the control scheme for the drive motor and outputs corresponding control commands to the drive motor.

7. The control method for an adaptive electric cylinder based on artificial intelligence according to claim 6, characterized in that, The overload alarm function of the control unit specifically includes: When the control unit determines that the current electric cylinder is overloaded, the control unit sends an overload alarm signal to the audible and visual alarm module or the control center. At the same time, the control unit outputs corresponding control commands to control the drive motor to brake and make the piston rod slowly extend or retract.

8. The control method for an adaptive electric cylinder based on artificial intelligence according to claim 6, characterized in that, When the load on the electric cylinder changes rapidly, the control unit uses a large artificial intelligence model to determine the motion control method and outputs corresponding control commands to control the operation of the drive motor.

9. The control method for an adaptive electric cylinder based on artificial intelligence according to claim 6, characterized in that, The overspeed alarm function of the control unit specifically includes: When the control unit determines that the current electric cylinder is overspeeding, the control unit sends an overspeed signal to the audible and visual alarm module or the control center. At the same time, the control unit uses an artificial intelligence model to adjust the control signal in real time to ensure that the operating speed of the electric cylinder meets the design requirements, thus achieving an adaptive function.

10. The control method for an adaptive electric cylinder based on artificial intelligence according to claim 6, characterized in that, The precise position control function of the control unit specifically includes: The control unit monitors the piston rod displacement in real time through a magnetostrictive displacement sensor and uses a large artificial intelligence model to determine the control scheme in order to achieve precise control of the piston rod.

Images