A control system and method for an electronic pump of a high efficiency hydraulic drive system

Abstract

The application discloses a control system and method for an electronic pump of a high-efficiency hydraulic driving system, and the method comprises the following steps: obtaining to-be-processed control signal information and hydraulic system feedback signal information; the hydraulic system feedback signal information comprises first feedback signal information and second feedback signal information; performing conversion processing on the to-be-processed control signal information and the hydraulic system feedback signal information to obtain target processing signal information; the target processing signal information comprises first target processing signal information and second target processing signal information; and performing optimization processing on the target processing signal information by using the to-be-processed control signal information and the hydraulic system feedback signal information to obtain target control signal information.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and in particular to a control system and method for an electronic pump used in a high-efficiency hydraulic drive system. Background Technology

[0002] Hydraulic drive systems are widely used in industrial automation, engineering machinery, and mobile hydraulic equipment due to their high power density and reliability. However, traditional hydraulic systems often employ mechanically or hydraulically controlled variable or fixed displacement pumps, relying on mechanical feedback or manual adjustment, which suffers from low energy efficiency, slow response, and poor dynamic adaptability. Especially under frequent load fluctuations or complex operating conditions, traditional pump control systems struggle to match actual demands in real time, resulting in significant energy dissipation through throttling losses or overflow, severe system overheating, and a substantial reduction in overall efficiency. In recent years, with the development of electronic control technology, electronic pumps have gradually replaced some mechanical pumps. However, their control strategies are still largely based on fixed-parameter PID or open-loop control, failing to fully integrate multi-dimensional sensor information such as pressure, flow rate, and speed, leading to insufficient dynamic adjustment accuracy and untapped potential for energy efficiency optimization under varying load conditions. Furthermore, existing control methods have limited ability to compensate for the nonlinear characteristics of the system, further restricting the overall performance of the hydraulic system. Therefore, this paper proposes a control system and method for electronic pumps in high-efficiency hydraulic drive systems to improve system control accuracy and efficiency, thereby enhancing the operational efficiency of the hydraulic drive system. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a control system and method for an electronic pump in a high-efficiency hydraulic drive system, which is beneficial to improving the control accuracy and control efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0004] To address the aforementioned technical problems, a first aspect of the present invention discloses a control method, the method comprising: Acquire control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information. The control signal information to be processed and the feedback signal information of the hydraulic system are converted and processed to obtain the target processing signal information; the target processing signal information includes first target processing signal information and second target processing signal information. The target processing signal information is optimized by using the control signal information to be processed and the feedback signal information of the hydraulic system to obtain the target control signal information.

[0005] A second aspect of this invention discloses a control system, the system comprising: The acquisition module is used to acquire control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information. The first processing module is used to convert and process the control signal information to be processed and the feedback signal information of the hydraulic system to obtain target processing signal information; the target processing signal information includes first target processing signal information and second target processing signal information. The second processing module is used to optimize the target processing signal information by using the control signal information to be processed and the feedback signal information of the hydraulic system to obtain the target control signal information.

[0006] A third aspect of the present invention discloses another control system, the system comprising: Memory containing executable program code; A processor coupled to memory; The processor calls the executable program code stored in the memory to execute some or all of the steps in the control method disclosed in the first aspect of the present invention.

[0007] The fourth aspect of the present invention discloses a computer-readable storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the control method disclosed in the first aspect of the present invention. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of a scenario for the control system provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating a control method disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a control system disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another control system disclosed in an embodiment of the present invention. Detailed Implementation

[0010] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] It should be noted that the terminology used in the embodiments of this application is for the purpose of describing specific embodiments only and is not intended to limit the application. The singular forms "a," "the," and "the" used in the embodiments of this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0012] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0013] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0014] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0015] It should be noted that the term "and / or" used in this application is merely a description of the same field in the related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0016] It should be noted that, depending on the context, the word "if" as used herein can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0017] It should be noted that in the description of this application, the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the system or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0018] It should be noted that the phrase "within the range" used in this application, unless otherwise specified, includes both endpoints of the range by default. For example, in the range of 1 to 5, it includes the values ​​1 and 5.

[0019] It should be noted that since the method in this application embodiment is executed in a computer device, the processing objects of each computer device exist in the form of data or information, such as time, which is essentially time information. It is understood that if size, quantity, position, etc. are mentioned in subsequent embodiments, they are all corresponding data that exist so that the computer device can process them. Specific details will not be elaborated here.

[0020] It should be noted that the artificial intelligence-related technologies that may be involved in this application will be briefly described. Artificial intelligence (AI) is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results. In other words, artificial intelligence is a comprehensive technology in computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a way similar to human intelligence. Artificial intelligence is the study of the design principles and implementation methods of various intelligent machines, enabling machines to have the functions of perception, reasoning, and decision-making.

[0021] Artificial intelligence (AI) is a comprehensive discipline encompassing a wide range of fields, including both hardware and software technologies. Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies primarily include computer vision, speech processing, natural language processing, and machine learning / deep learning.

[0022] Computer vision (CV) is a science that studies how to enable machines to "see." More specifically, it refers to machine vision, which uses cameras and computers to replace human eyes in recognizing and measuring targets, and then performs image processing to create images more suitable for human observation or transmission to instruments. As a scientific discipline, computer vision studies related theories and technologies, attempting to build artificial intelligence systems capable of extracting information from images or multidimensional data. Computer vision technologies typically include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content / behavior recognition, 3D object reconstruction, 3D technology, virtual reality, augmented reality, simultaneous localization and mapping (SLAM), and common biometric recognition technologies such as facial recognition and fingerprint recognition.

[0023] Monomodal information refers to data of only one type, such as text, images, audio, video, or electromagnetic signals. Multimodal information refers to data that includes at least two types of monomodal information. Furthermore, multimodal information is suitable for complex tasks that require the integration of multiple information sources, such as sentiment analysis, robot interaction, and autonomous driving. By integrating information from multiple modalities, higher performance and accuracy can usually be achieved in these tasks.

[0024] Large models refer to artificial neural network models with a very large number of parameters. In the field of artificial intelligence, large models typically refer to models with hundreds of millions to trillions of parameters. These models usually need to be trained on large-scale datasets and require a significant amount of computing resources for optimization and tuning. Large models are commonly used to solve complex tasks such as natural language processing, computer vision, and speech recognition. Generative AI is a type of AI that can create new content and ideas, including dialogues, stories, images, videos, and music. In this embodiment, the large model can be a large-scale pre-trained model such as the ChatGPT series, BERT, XLNet, Zhipu model, Claude, Moonshot AI model, ChatGLM model, Tongwen Qianyi model, MiniMax model, Xinghuo model, Llama model, 360GPT model, Qwen model, Baichuan model, Yunque model, vivoLM model, deepseek, Tencent Yuanbao, and Wenxin Yiyan, etc., and this embodiment does not limit the scope of the large model.

[0025] This application provides a control method, system, computer device, and computer-readable storage medium, which will be described in detail below.

[0026] Please see Figure 1 , Figure 1 This is a schematic diagram of a scenario for the control system provided in an embodiment of this application. The control system may include a computer device 100, which integrates the control system, such as... Figure 1 Computer equipment in the country.

[0027] In this embodiment, the computer device 100 is mainly used to acquire control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information; the control signal information to be processed and the hydraulic system feedback signal information are converted and processed to obtain target processing signal information; the target processing signal information includes first target processing signal information and second target processing signal information; the target processing signal information is optimized using the control signal information to be processed and the hydraulic system feedback signal information to obtain target control signal information.

[0028] It can improve the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0029] In this embodiment, the computer device 100 can be a standalone server, a server network, or a server cluster. For example, the computer device 100 described in this embodiment includes, but is not limited to, a computer, a network host, a single network server, a set of multiple network servers, or a cloud server composed of multiple servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0030] It is understood that the computer device 100 used in the embodiments of this application can be a device that includes both receiving and transmitting hardware, that is, a device having receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. Such a device may include: cellular or other communication devices having a single-line display, a multi-line display, or a cellular or other communication device without a multi-line display. Specifically, the computer device 100 may be a desktop terminal or a mobile terminal, and may also be one of a mobile phone, tablet computer, laptop computer, etc.

[0031] Those skilled in the art will understand that Figure 1 The application environment shown is merely one application scenario of the solution in this application and does not constitute a limitation on the application scenario of the solution in this application. Other application environments may include those that are more specific to this application. Figure 1 The number of computer devices shown is more or less, for example Figure 1 Only one computer device is shown in the diagram. It is understood that the control system may also include one or more other services, which are not limited here.

[0032] In addition, such as Figure 1 As shown, the control system may also include a memory 200 for storing data, such as image data and location information.

[0033] It should be noted that, Figure 1 The schematic diagram of the control system shown is merely an example. The control system and scenario described in this application are intended to more clearly illustrate the technical solutions of this application and do not constitute a limitation on the technical solutions provided in this application. As those skilled in the art will know, with the evolution of control systems and the emergence of new business scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

[0034] This invention discloses a control system and method for an electronic pump used in a high-efficiency hydraulic drive system, which helps to improve the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system. Detailed descriptions follow.

[0035] Example 1 Please see Figure 2 , Figure 2 This is a flowchart illustrating a control method disclosed in an embodiment of the present invention. Wherein, Figure 2 The described control method is applied in a management system, such as a local server or a cloud server for management, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the control method may include the following operations: 101. Obtain the control signal information to be processed and the feedback signal information of the hydraulic system.

[0036] In this embodiment of the invention, the feedback signal information of the hydraulic system includes first feedback signal information and second feedback signal information.

[0037] 102. Convert the control signal information to be processed and the feedback signal information from the hydraulic system to obtain the target processing signal information.

[0038] In this embodiment of the invention, the target processing signal information includes first target processing signal information and second target processing signal information.

[0039] 103. Optimize the target processing signal information by using the control signal information to be processed and the feedback signal information of the hydraulic system to obtain the target control signal information.

[0040] It should be noted that the aforementioned first feedback signal information represents the displacement of the actuator of the hydraulic drive system, such as the displacement of the hydraulic cylinder, and this embodiment of the present invention does not limit it.

[0041] It should be noted that the aforementioned second feedback signal information represents the speed of the actuator of the hydraulic drive system, such as the speed of the hydraulic cylinder, and this embodiment of the present invention does not limit it.

[0042] It should be noted that the above-mentioned target control signal information represents the control element used to control the hydraulic drive system, such as a multi-way valve, and the embodiments of the present invention are not limited thereto.

[0043] It should be noted that the power component of the above-mentioned hydraulic drive system is an electronic pump, and this embodiment of the present invention does not limit it.

[0044] It should be noted that the above-mentioned control signal information to be processed represents the desired displacement, and the embodiments of the present invention are not limited thereto.

[0045] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0046] In an optional embodiment, the above-described optimization processing of the target processing signal information using the control signal information to be processed and the hydraulic system feedback signal information to obtain the target control signal information includes: Based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first control signal information is determined; Based on the second target processing signal information in the target processing signal information, the second control signal information is determined; Based on the first control signal information and the second control signal information, the target control signal information is determined.

[0047] It should be noted that the second control signal information determined based on the second target processing signal information in the target processing signal information described above can be derived based on a fuzzy RBF neural network, a fuzzy PID, or a large model; this embodiment of the invention does not impose any limitations. Furthermore, the aforementioned second control signal information is the main body for generating nonlinear signals for controlling the hydraulic drive system. It employs a fuzzy inference control algorithm, ensuring both control accuracy and reliability; this embodiment of the invention does not impose any limitations.

[0048] In this optional embodiment, as an optional implementation, the determination of the target control signal information based on the first control signal information and the second control signal information includes: The first control signal information and the second control signal information are weighted and summed to obtain the third control signal information; The third control signal information is linearly transformed to obtain the target control signal information.

[0049] It should be noted that the weighted summation of the first control signal information and the second control signal information described above is to fuse the two control signals to form a control signal with both precision and response speed, which is beneficial for more accurate and efficient control of the hydraulic drive system. This embodiment of the invention does not limit the scope of the invention.

[0050] It should be noted that the above-mentioned linear transformation processing of the third control signal information is to convert the signal generated from the displacement / velocity information into a signal that the control element can process. This requires linear amplification of the third control signal information to achieve controllability of the actuator. This embodiment of the present invention does not limit this.

[0051] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0052] In another optional embodiment, the first control signal information is determined based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, including: Based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first adjustment parameter information is determined; The first control signal information is obtained by multiplying the first adjustment parameter information and the first target processing signal information.

[0053] It should be noted that the above-mentioned product calculation of the first adjustment parameter information and the first target processing signal information is a direct dynamic calculation of the coarse reference signal generated by displacement, which retains the most original feature information of the original input signal (desired displacement). Thus, when the control signal formed by the other branch is fused in the subsequent process, it can reflect its original feature information. That is, by using the signal feature fusion of the original features through the dynamic adjustment signal formed by the first adjustment parameter, a direct influence on the two types of control targets, displacement and velocity, is formed, which is more conducive to improving control accuracy and response speed. This embodiment of the invention does not limit the scope of the invention.

[0054] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0055] In another optional embodiment, based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first adjustment parameter information is determined, including: The target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information are normalized to obtain normalized signal information; the normalized signal information includes three normalized signal value information; The normalized signal information is processed to obtain the first adjustment parameter information.

[0056] It should be noted that the three normalized signal values ​​mentioned above are the first normalized signal value, the second normalized signal value, and the third normalized signal value, respectively, and this embodiment of the invention does not limit them.

[0057] In this optional embodiment, as an optional implementation, the above-mentioned normalization processing of the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information to obtain normalized signal information includes: Get itinerary information; Divide the first feedback signal information from the control signal information to be processed and the hydraulic system feedback signal information by the stroke information to obtain the first normalized signal value information and the second normalized signal value information. The control signal information to be processed is converted into a signal type to obtain the converted control signal information; The normalization model is used to calculate and analyze the first target processing signal information, the conversion control signal information, and the second feedback signal information in the hydraulic system feedback signal information to obtain the third normalized signal value information. The normalization model is as follows: =G2 / max ( abs(G3), abs(G4)); In the formula, G1 represents the third normalized signal value information; G2 represents the first target processing signal information; G3 represents the conversion control signal information; G4 represents the second feedback signal information.

[0058] It should be noted that the above-mentioned stroke information represents the maximum displacement of the hydraulic actuator, such as 100mm, and this embodiment of the present invention is not limited thereto. Furthermore, the above-mentioned division of the first feedback signal information in the control signal information to be processed and the hydraulic system feedback signal information by the stroke information is to divide the corresponding value of the first feedback signal information in the control signal information to be processed and the hydraulic system feedback signal information by the maximum displacement value, thereby obtaining a normalized value between [0,1]. This embodiment of the present invention is not limited thereto.

[0059] It should be noted that the above-mentioned normalization process for the speed signal data is a dynamic process, a real-time changing normalization action to improve the dynamic response capability of the system control process. This embodiment of the invention does not limit this process. Specifically, firstly, the larger absolute value of the speed signal corresponding to the desired displacement and the feedback speed signal is selected (i.e., the process of dynamically selecting the normalization reference standard). Then, the speed-converted data (first target processing signal information) after displacement weighting is divided by the larger value selected in the previous step. In this step, the absolute value of the first target processing signal information is not taken because it needs to reflect the movement direction of the hydraulic actuator. Therefore, its directional (i.e., positive / negative) data is used for normalization calculation (i.e., a processing method to ensure fast response speed). Furthermore, the larger absolute value of the speed signal corresponding to the desired displacement and the feedback speed signal is the speed of the hydraulic actuator itself, which will be greater than the speed calculated from the displacement difference. Therefore, it can be ensured that the third normalized signal value information is between [0,1]. This embodiment of the invention does not limit this process.

[0060] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0061] In another optional embodiment, the normalized signal information is processed to obtain first adjustment parameter information, including: The normalized signal information is processed using the first parameter calculation model to obtain the first calculation parameter information; The calculation model for the first parameter is as follows: ; In the formula, The first character in the normalized signal information Information on a normalized signal value; Characterizing the first Adjust parameters; Characterizing the first Calculate parameters; Characterizes the information of the first calculation parameter; The first calculation parameter information is calculated and processed using the second parameter calculation model to obtain the first adjustment parameter information; The calculation model for the second parameter is as follows: ; In the formula, Characterizes the first adjustment parameter information; and These represent the fourth and fifth adjustment parameters, respectively.

[0062] It should be noted that the first to third adjustment parameters and the first to third calculation parameters mentioned above are all positive numbers not less than 0 and not greater than 1, and this embodiment of the present invention does not impose any limitations on them. Furthermore, the fourth and fifth adjustment parameters are positive numbers not less than 1 and not greater than 2, and this embodiment of the present invention does not impose any limitations on them.

[0063] It should be noted that the above-mentioned first parameter calculation model linearly fuses the input control signal information to be processed and the two types of feedforward signal information. Since the input data information has been normalized before the calculation is performed using the first parameter calculation model, the difference in displacement / velocity dimensions is eliminated. At the same time, it avoids the excessive influence of a single large value on the fusion quality caused by the large difference between the input expected value and the feedback signal, as well as the large difference between the absolute values ​​of different types of data. It realizes the effective fusion between multiple types of data and multiple input data, fully reflects the substantial impact of each input data on the overall signal generation, and can effectively improve the generation of more accurate control signals. This embodiment of the invention is not limited.

[0064] It should be noted that the above-mentioned second parameter calculation model is a nonlinear processing of linear fusion data. It mainly considers the complex nonlinear characteristics of the hydraulic drive system itself. The first control signal information formed by the first adjustment parameter information calculated by the second parameter calculation model is a dynamic correction of the generated control signal. Therefore, a nonlinear inverse exponential calculation is used to form the correction signal, thereby forming an adaptive signal adjustment capability to further improve the control accuracy and efficiency of the hydraulic drive system. This embodiment of the invention is not limited.

[0065] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0066] In an optional embodiment, the above-described conversion processing of the control signal information to be processed and the hydraulic system feedback signal information to obtain the target processing signal information includes: The first feedback signal information in the control signal information to be processed and the hydraulic system feedback signal information is weighted and summed to obtain the first processed signal information. Based on the first processed signal information and the second feedback signal information, the target processed signal information is determined.

[0067] It should be noted that when performing the weighted summation of the control signal information to be processed and the first feedback signal information in the hydraulic system feedback signal information, the weighting coefficient of the control signal information to be processed is a value between (0.5, 1), such as 0.5, 0.8, 1, and the weighting coefficient of the first feedback signal information is a value between [-1, -0.5), such as -0.5, -0.8, -1. This embodiment of the invention does not limit the weighting coefficient.

[0068] Furthermore, the weighted summation of the first feedback signal information in the control signal information and hydraulic system feedback signal information is a signal comparison process with relatively low precision between the input signal and the displacement of the hydraulic drive system, thereby forming a coarse signal reference, which is then converted into a speed signal to provide a reference for the generation of precise control signals. This embodiment of the invention is not limited to this.

[0069] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0070] In another optional embodiment, the target processing signal information is determined based on the first processing signal information and the second feedback signal information, including: The first processed signal information is converted into a signal type to obtain the first target processed signal information in the target processed signal information; The first target processing signal information and the second feedback signal information are weighted and summed to obtain the second target processing signal information in the target processing signal information.

[0071] It should be noted that the above-mentioned signal type conversion of the first processed signal information is to convert displacement into velocity, which can be obtained by differentiation based on data from several previous moments. This embodiment of the invention does not limit this.

[0072] It should be noted that when performing weighted summation on the first target processing signal information and the second feedback signal information, the weighting coefficient of the first target processing signal information is a value between (0.5, 1), such as 0.5, 0.8, 1, and the weighting coefficient of the second feedback signal information is a value between [-1, -0.5), such as -0.5, -0.8, -1. This embodiment of the invention does not limit the weighting coefficient.

[0073] Furthermore, the weighted summation of the first target processing signal information and the second feedback signal information introduces the second feedback signal, representing speed, into the control loop to improve the response speed of the hydraulic drive system. However, it is placed after the first feedback information, representing displacement. This is mainly because the actuator of the hydraulic drive system needs to ensure dual precision control of displacement and speed. The two control targets are used as feedforward signals simultaneously to form a dual closed-loop control of two related but somewhat independent control targets: displacement and speed. First, a relatively inaccurate signal reference is formed through coarse feedback of the displacement signal. Then, a more accurate control signal is corrected through the more sensitive control target speed to generate a high-efficiency control signal that combines control precision and response speed. This effectively improves control precision, and the feedback speed signal is used to compensate for the variation caused by the first feedback signal, improving the anti-interference capability of the hydraulic drive system and further improving the control precision of the hydraulic drive system. This embodiment of the invention is not limited.

[0074] It is evident that implementing the control method described in the embodiments of the present invention is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0075] Example 2 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a control system disclosed in an embodiment of the present invention. Figure 3 The described system can be applied to management systems, such as local servers or cloud servers, and this invention does not limit its application. Figure 3 As shown, the system may include: The acquisition module 201 is used to acquire control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information. The first processing module 202 is used to convert and process the control signal information to be processed and the hydraulic system feedback signal information to obtain the target processing signal information; the target processing signal information includes the first target processing signal information and the second target processing signal information. The second processing module 203 is used to optimize the target processing signal information by using the control signal information to be processed and the feedback signal information of the hydraulic system to obtain the target control signal information.

[0076] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0077] In another alternative embodiment, such as Figure 3 As shown, the target control signal information is optimized by using the control signal information to be processed and the feedback signal information from the hydraulic system to obtain the target control signal information, including: Based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first control signal information is determined; Based on the second target processing signal information in the target processing signal information, the second control signal information is determined; Based on the first control signal information and the second control signal information, the target control signal information is determined.

[0078] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0079] In yet another alternative embodiment, such as Figure 3 As shown, based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first control signal information is determined, including: Based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first adjustment parameter information is determined; The first control signal information is obtained by multiplying the first adjustment parameter information and the first target processing signal information.

[0080] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0081] In yet another alternative embodiment, such as Figure 3 As shown, based on the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information, the first adjustment parameter information is determined, including: The target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information are normalized to obtain normalized signal information; the normalized signal information includes three normalized signal value information; The normalized signal information is processed to obtain the first adjustment parameter information.

[0082] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0083] In yet another alternative embodiment, such as Figure 3 As shown, the normalized signal information is processed to obtain the first adjustment parameter information, including: The normalized signal information is processed using the first parameter calculation model to obtain the first calculation parameter information; The calculation model for the first parameter is as follows: ; In the formula, The first character in the normalized signal information Information on a normalized signal value; Characterizing the first Adjust parameters; Characterizing the first Calculate parameters; Characterizes the information of the first calculation parameter; The first calculation parameter information is calculated and processed using the second parameter calculation model to obtain the first adjustment parameter information; The calculation model for the second parameter is as follows: ; In the formula, Characterizes the first adjustment parameter information; and These represent the fourth and fifth adjustment parameters, respectively.

[0084] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0085] In yet another alternative embodiment, such as Figure 3As shown, the control signal information to be processed and the hydraulic system feedback signal information are converted and processed to obtain the target processing signal information, including: The first feedback signal information in the control signal information to be processed and the hydraulic system feedback signal information is weighted and summed to obtain the first processed signal information. Based on the first processed signal information and the second feedback signal information, the target processed signal information is determined.

[0086] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0087] In yet another alternative embodiment, such as Figure 3 As shown, based on the first processed signal information and the second feedback signal information, the target processed signal information is determined, including: The first processed signal information is converted into a signal type to obtain the first target processed signal information in the target processed signal information; The first target processing signal information and the second feedback signal information are weighted and summed to obtain the second target processing signal information in the target processing signal information.

[0088] It is evident that implementation Figure 3 The described control system is beneficial to improving the control accuracy and efficiency of the system, thereby improving the operating efficiency of the hydraulic drive system.

[0089] Example 3 Please see Figure 4 , Figure 4 This is a schematic diagram of another control system disclosed in an embodiment of the present invention. Wherein, Figure 4 The described system can be applied to management systems, such as local servers or cloud servers, and this invention does not limit its application. Figure 4 As shown, the system may include: Memory 301 storing executable program code; Processor 302 coupled to memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the control method described in Embodiment 1.

[0090] Example 4 This invention discloses a computer-readable storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to perform the steps of the control method described in Embodiment 1.

[0091] Example 5 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the control method described in Embodiment 1.

[0092] The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0093] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0094] Finally, it should be noted that the control system and method for an electronic pump in a high-efficiency hydraulic drive system disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method, characterized in that, The method includes: The system acquires control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information; the control signal information to be processed represents the desired displacement; the first feedback signal information represents the displacement of the actuator of the hydraulic drive system; the second feedback signal information represents the speed of the actuator of the hydraulic drive system. The control signal information to be processed and the feedback signal information of the hydraulic system are converted and processed to obtain the target processing signal information; the target processing signal information includes first target processing signal information and second target processing signal information. The first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information are normalized to obtain normalized signal information; the normalized signal information includes three normalized signal value information; The normalized signal information is processed to obtain the first adjustment parameter information; The first control signal information is obtained by multiplying the first adjustment parameter information and the first target processing signal information. Based on the second target processing signal information in the target processing signal information, the second control signal information is determined; Based on the first control signal information and the second control signal information, target control signal information is determined; the target control signal information represents the control element used to control the hydraulic drive system.

2. The control method according to claim 1, characterized in that, The step of calculating and processing the normalized signal information to obtain the first adjustment parameter information includes: The normalized signal information is processed using the first parameter calculation model to obtain the first calculation parameter information; The calculation model for the first parameter is as follows: ； In the formula, Characterizing the first normalized signal information The normalized signal value information; Characterizing the first Adjust parameters; Characterizing the first Calculate parameters; Characterizes the first calculation parameter information; The first calculation parameter information is processed using the second parameter calculation model to obtain the first adjustment parameter information; The calculation model for the second parameter is as follows: ； In the formula, Characterizes the information of the first adjustment parameter; and These represent the fourth and fifth adjustment parameters, respectively.

3. The control method according to claim 1, characterized in that, The process of converting the control signal information to be processed and the hydraulic system feedback signal information to obtain the target processing signal information includes: The first feedback signal information in the control signal information to be processed and the hydraulic system feedback signal information are weighted and summed to obtain the first processed signal information. Based on the first processed signal information and the second feedback signal information, the target processed signal information is determined.

4. The control method according to claim 3, characterized in that, The step of determining the target processing signal information based on the first processed signal information and the second feedback signal information includes: The first processed signal information is converted into a signal type to obtain the first target processed signal information in the target processed signal information; The first target processing signal information and the second feedback signal information are weighted and summed to obtain the second target processing signal information in the target processing signal information.

5. A control system, characterized in that, The system includes: The acquisition module is used to acquire control signal information to be processed and hydraulic system feedback signal information; the hydraulic system feedback signal information includes first feedback signal information and second feedback signal information; the control signal information to be processed represents the desired displacement; the first feedback signal information represents the displacement of the actuator of the hydraulic drive system; the second feedback signal information represents the speed of the actuator of the hydraulic drive system. The first processing module is used to convert and process the control signal information to be processed and the feedback signal information of the hydraulic system to obtain target processing signal information; the target processing signal information includes first target processing signal information and second target processing signal information. The second processing module is used to normalize the first target processing signal information, the control signal information to be processed, and the hydraulic system feedback signal information in the target processing signal information to obtain normalized signal information; the normalized signal information includes three normalized signal value information; The normalized signal information is processed to obtain the first adjustment parameter information; The first control signal information is obtained by multiplying the first adjustment parameter information and the first target processing signal information. Based on the second target processing signal information in the target processing signal information, the second control signal information is determined; Based on the first control signal information and the second control signal information, target control signal information is determined; the target control signal information represents the control element used to control the hydraulic drive system.

6. A control system, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the control method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when invoked, are used to execute the control method as described in any one of claims 1-4.

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