Flow automatic control instrument converter

Abstract

The utility model relates to the technical field of flow detection and control, and discloses a flow automatic control instrument converter. According to the utility model, the flow automatic control instrument converter is connected with a mass flow meter sensor and an execution mechanism, and comprises a signal conditioning and acquisition module, a CPU module, an execution control module, a temperature detection module, a signal output module, a man-machine interaction module, a 5G communication module and a power supply management module; the CPU module is composed of a CPU calculation module and a CPU processing module. The signal conditioning and acquisition module, the CPU module, the execution control module, the temperature detection module, the signal output module, the man-machine interaction module and the 5G communication module are connected with the CPU module. The problem that the flow automatic control instrument is insufficient in flow detection and control precision can be at least solved.

Description

Technical Field

[0001] The utility model relates to the technical field of flow detection and control, in particular to a flow automatic control instrument converter. Background Art

[0002] The mass flow meter is a flow meter designed using the Coriolis force principle. There is a driving coil at the center of the measuring tube of the mass flow meter, and a pair of detection coils at the inlet and outlet of the measuring tube. The driving coil inputs an alternating current to make the two parallel measuring tubes vibrate at their natural frequency. When fluid flows through the measuring tubes, the vibration of the measuring tubes shifts in phase. The mass flow value can be obtained by detecting the vibration phase shift. The vibration frequency of the measuring tube is determined by the total mass of the measuring tube and the fluid in the tube. When the density of the fluid changes, the vibration frequency of the measuring tube also changes accordingly, thereby obtaining the density value of the fluid in the tube.

[0003] High-pressure flow automatic controller is an integrated instrument composed of flow meter, converter and actuator. At present, the flow meter in high-pressure flow automatic controller uses turbine flow meter, electromagnetic flow meter or vortex flow meter to measure the flow in the pipeline. The highest accuracy is only 0.5%, and only electromagnetic flow meter can achieve it. However, electromagnetic flow meter can only measure conductive medium. The actuator consists of two driving adjustment mechanisms, linear stroke and angular stroke. The highest control accuracy is only 0.5% FS. High-pressure flow automatic controller is generally used for water injection, polymer injection and distribution injection in oil field, chemical industry and food industry. At present, the problems existing in the actual application of high-pressure flow automatic controller are low measurement accuracy, easy to block, some media cannot be measured, low control accuracy and long control time. Utility Model Content

[0004] The utility model aims to provide a flow automatic controller converter, which is at least used to solve the problem of insufficient flow detection and control accuracy of the flow automatic controller.

[0005] In order to solve the above technical problems, the embodiment of the utility model provides a flow automatic controller converter, which is connected to the mass flow meter sensor and the actuator, including: signal conditioning and acquisition module, CPU module, digital drive module, execution control module, temperature detection module, signal output module, human-computer interaction module, 5G communication module and power management module; the CPU module is composed of a CPU calculation module and a CPU processing module; the signal conditioning and acquisition module, digital drive module, execution control module, temperature detection module, signal output module, human-computer interaction module and 5G communication module are connected to the CPU module. By integrating the signal conditioning, data processing, execution control, communication and other modules into one, the measurement accuracy and control response speed of the system can be significantly improved.

[0006] In addition, the CPU processing module includes: digital drive submodule, execution control submodule, temperature detection submodule, signal output submodule, human-computer interaction submodule and 5G communication submodule. Through modular design, the CPU processing module can efficiently process different types of signals and control tasks, improve the flexibility and scalability of the system, enable each submodule to work independently and collaboratively, and enhance the overall performance of the system.

[0007] In addition, the signal conditioning and acquisition module includes: amplification circuit, filtering circuit and ADC analog-to-digital converter. The modular design makes signal conditioning and acquisition more accurate, ensures the high fidelity of the input signal, and enhances the accuracy of system measurement.

[0008] In addition, the amplifier circuit uses an INA128 instrument amplifier; the filter circuit uses an OPA voltage operational amplifier; and the ADC analog-to-digital converter uses an ADS1298R multi-channel synchronous analog-to-digital converter. The use of high-performance components ensures high precision and low noise in signal amplification, filtering, and analog-to-digital conversion, improving the quality of signal processing and the measurement accuracy of the system.

[0009] In addition, the CPU computing module uses the TMS320F28386 dual-core digital processor, including the first C28X core and the second C28 core. The dual-core processor provides powerful computing power and parallel processing capabilities, can efficiently handle complex computing tasks, improve the speed and accuracy of data processing, and optimize system performance

[0010] In addition, the execution control module adopts a 6-phase inverter bridge structure. The 6-phase inverter bridge structure improves the efficiency and reliability of the execution control module, can drive the actuator more stably, and achieve higher control accuracy and response speed.

[0011] In addition, the execution control module includes control isolation circuit, control drive circuit, control inverter circuit, brake circuit and signal feedback circuit. Through the combination of various circuit modules, precise control and protection of the actuator is achieved, providing functions such as signal isolation, drive, inverter, brake and feedback, and enhancing the safety and stability of the system.

[0012] In addition, the control isolation circuit uses the power TLP715 optocoupler; the control drive circuit uses the IR2110S half-bridge driver chip; the control inverter circuit uses the IRF3607 power MOS tube; the brake circuit is composed of an inductor and a diode; and the signal feedback circuit uses the OPA2277 operational amplifier. The use of high-performance components ensures the efficient and reliable operation of each circuit module. The optocoupler provides electrical isolation, the half-bridge driver chip and power MOS tube improve the driving capability, the brake circuit provides control stability, and the operational amplifier provides accurate signal feedback, which improves the overall performance and reliability of the system.

[0013] In addition, the execution control submodule includes a fuzzy controller and a transformer. The combination of the fuzzy controller and the transformer makes the execution control more flexible and intelligent, can better adapt to complex control environments, and improve control accuracy and response speed.

[0014] In addition, the digital drive module includes a programmable waveform generator, an operational amplifier, a serial input multiplier, and a circuit operational amplifier. The multifunctional digital drive module can generate a variety of drive waveforms to adapt to different application scenarios. Through precise signal processing and driving, it improves the system's driving capability and accuracy, and enhances the system's applicability and flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0016] Figure 1 This is a structural schematic diagram of a flow automatic control instrument converter of the utility model;

[0017] Figure 2 It is a structural schematic diagram of a control structure of the utility model. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the utility model clearer, the various embodiments of the utility model will be described in detail below with reference to the accompanying drawings. However, it can be understood by those skilled in the art that in the various embodiments of the utility model, many technical details are provided in order to enable readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical schemes claimed for protection in the claims of the present application can be implemented.

[0019] The first embodiment of the present utility model relates to a flow automatic control instrument converter. Figure 1 The flow automatic controller converter is connected with the mass flow meter sensor 10 and the actuator 20, and includes:

[0020] Signal conditioning and acquisition module 40, CPU module 30, digital drive module 50, execution control module 60, temperature detection module 70, signal output module 80, human-computer interaction module 90, 5G communication module 100 and power management module 110; the CPU module 30 is composed of a CPU calculation module 31 and a CPU processing module 32; the signal conditioning and acquisition module 40, digital drive module 50, execution control module 60, temperature detection module 70, signal output module 80, human-computer interaction module 90 and 5G communication module 100 are connected to the CPU module 30.

[0021] The flow automatic controller converter connects the mass flow meter sensor 10 and the actuator 20 to form a flow automatic controller. The flow automatic controller can detect flow data through the mass flow meter sensor 10 and control the actuator 20 according to the flow data. The mass flow meter sensor 10 is designed using the Coriolis principle. There is a driving coil at the center measuring tube, and there is a pair of detection coils at the measuring tube and the outlet, namely the first detection coil and the second detection coil; the driving coil inputs an alternating current, so that the two parallel measuring tubes vibrate according to their natural frequency. When a fluid flows through the measuring tube, the vibration of the measuring tube shifts, and the mass flow value can be obtained by detecting the vibration phase shift. The vibration frequency of the measuring tube is determined by the total mass of the measuring tube and the fluid in the tube. When the fluid density changes, the vibration frequency of the measuring tube also changes accordingly, thereby obtaining the density value of the fluid in the tube, and the overall measurement accuracy is as high as 0.1%. The actuator 20 adopts a plunger actuator (plunger angle stroke valve), and the flow size can be controlled by controlling the switch of the actuator 20.

[0022] The signal conditioning and acquisition module 40 is used to receive and process the signal from the mass flow meter sensor 10. The module includes an amplifier circuit, a filter circuit and an ADC analog-to-digital converter, and ensures high-precision and low-noise processing of the signal through amplification, filtering and analog-to-digital conversion of the signal.

[0023] The CPU module 30 is composed of a CPU calculation module 31 and a CPU processing module 32. The CPU module 30 uses a dual-core digital processor, including a first core and a second core, for efficient processing and calculation of signals. The CPU processing module 32 includes a digital drive submodule, an execution control submodule, a temperature detection submodule, a signal output submodule, a human-computer interaction submodule and a 5G communication submodule, and is responsible for processing and coordinating the signals of each submodule.

[0024] The execution control module 60 is used to control the actuator 20. The execution control module is a 6-phase inverter bridge structure, including a control isolation circuit, a control drive circuit, a control inverter circuit, a brake circuit and a signal feedback circuit. These components ensure the accuracy and stability of the execution control.

[0025] The temperature detection module 70 is used to detect the operating temperature of the system to ensure that the system operates within the optimal temperature range. The module monitors the temperature in real time and provides data to the CPU processing module 32 to adjust system parameters to ensure safe and stable operation of the system.

[0026] The signal output module 80 is used to output the processed signal to the external DCS system and transmit the signal with the DCS system. The DCS system is a new generation of instrument control system based on a microprocessor, adopting the design principles of decentralized control functions, centralized display operations, and taking into account the design principles of division and autonomy and comprehensive coordination.

[0027] The human-computer interaction module 90 provides an interactive interface between the user and the system. The user can monitor the system status in real time, input commands, and view the system's feedback information through this module, which is easy to operate and has a friendly interface.

[0028] The 5G communication module 100 realizes remote data transmission and control. The module uses 5G technology to achieve high-speed, low-latency data transmission. Users can remotely monitor and control the system, which improves the convenience and flexibility of system operation.

[0029] The power management module 110 is responsible for providing stable power to each module of the system. By managing the power supply, the module ensures that each module works efficiently under a stable power supply and avoids system failures caused by power fluctuations.

[0030] In summary, this embodiment achieves high-precision detection and control of traffic by integrating multiple modules such as signal conditioning and acquisition, CPU processing, execution control, temperature detection, signal output, human-computer interaction, 5G communication and power management, thereby improving the overall performance and reliability of the system and being suitable for a variety of industrial application scenarios.

[0031] The second embodiment of the utility model relates to a flow automatic controller converter. The second embodiment is an improvement on the first embodiment, and the specific improvements are:

[0032] The CPU processing module includes: digital drive sub-module, execution control sub-module, temperature detection sub-module, signal output sub-module, human-computer interaction sub-module and 5G communication sub-module.

[0033] The digital drive submodule is used to output the digital drive signal V1. The digital drive submodule is connected to the digital drive module, and controls the operation of the drive coil of the mass flow meter sensor by generating the digital drive signal V1 required by the mass flow meter sensor. This improves the accuracy and stability of the digital drive signal and adapts to different application scenarios.

[0034] The execution control submodule is used to collect the collected flow signals, speed, valve position and other control signals and output the control signals. The execution control submodule is connected to the execution control module. By processing the flow signal, speed signal, valve position signal, etc., the processed control signal is output to the execution control module to achieve precise control of the actuator. The response speed and accuracy of the control are improved, the stable operation of the actuator is ensured, and the overall control accuracy is as high as 0.1% FS.

[0035] The human-computer interaction submodule is used to output LCD display signals and receive key input signals. The human-computer interaction submodule is connected to the human-computer interaction module, and displays system status information to the user by outputting LCD display signals, and receives and processes the signals input by the user through keys. It provides a user-friendly interactive interface, simplifies system operation, and improves user experience.

[0036] The 5G communication submodule is used to output serial communication signals to the 5G communication module. The 5G communication submodule is connected to the 5G communication module, and by outputting serial communication signals, the system data is remotely transmitted through the 5G network to achieve remote monitoring and control. This improves the system's operational convenience and flexibility, and meets the needs of modern industrial Internet of Things.

[0037] The signal output submodule is used to output frequency signals and 4-20mA signals to the signal output module. The signal output submodule is connected to the signal output module, and transmits signals to the DCS system by outputting frequency signals and 4-20mA signals to ensure the accuracy and stability of signal transmission.

[0038] The temperature detection submodule is used to collect the temperature voltage signal V2 and process it to obtain the temperature value. The temperature detection submodule is connected to the temperature detection module, and the temperature voltage signal V2 is collected through the temperature detection module, and processed to obtain the temperature value, and the temperature data is fed back to the CPU calculation module for subsequent flow calculation compensation to improve the flow calculation accuracy.

[0039] In summary, this embodiment further enhances the processing capability and flexibility of the system by specifically improving and optimizing each submodule of the CPU processing module while maintaining the advantages of the first embodiment. Each submodule in the CPU processing module is interconnected with each functional module in the converter and cooperates with each other, so that the performance of the entire flow automatic controller converter is significantly improved, which can better adapt to the complex and changeable industrial field environment and meet the flow detection and control requirements of high precision, high reliability and high response speed.

[0040] The signal conditioning and acquisition module includes: an amplifier circuit, a filter circuit and an ADC analog-to-digital converter. The amplifier circuit uses the INA128 instrument amplifier; the filter circuit uses the OPA voltage operational amplifier; and the ADC analog-to-digital converter uses the ADS1298R multi-channel synchronous analog-to-digital converter. The signal conditioning and acquisition module is used to collect the first detection signal X1 of the first detection coil and the second detection signal X2 of the second detection coil output by the mass flow meter sensor, and process the collected signals into the first digital signal F1 and the second digital signal F2. The processing steps are: amplification processing, active high-pass and low-pass filtering, and ADC analog-to-digital conversion. The amplifier circuit part can use the high-performance instrument amplifier INA128, the filter part uses the low offset voltage operational amplifier OPA2277, and the ADC analog-to-digital converter uses the 24-bit multi-channel synchronous analog-to-digital converter ADS1298R, which can ensure the synchronization of the analog signal conversion into the digital signal and ensure the synchronous phase of the mass flow meter measuring tube detection coil signal.

[0041] The CPU module uses the TMS320F28386 dual-core digital processor, including the first C28X core and the second C28 core. The TMS320F28386 dual-core digital processor has two independent C28X cores. The first C28X core is responsible for calculating the digital signal processed by the signal conditioning and acquisition module; including receiving the first detection signal X1 and the second detection signal X2, and obtaining the digital signals F1 and F2 after amplification, filtering and analog-to-digital conversion. The first C28X core processes the first digital signal F1 and the second digital signal F2 to calculate the phase difference signal; by calculating the phase difference signal in real time, the accuracy and response speed of signal processing are ensured. The second C28 core is responsible for digital drive, data acquisition, flow calculation and flow compensation; controls the digital drive submodule and outputs the digital drive signal V1; collects the drive amplitude and processes and adjusts the amplitude of the signal drive to ensure the stability and consistency of the signal; receives and processes the temperature voltage signal V2 from the temperature detection module to obtain the temperature value; performs accurate flow calculation and compensation based on the phase difference signal obtained from the first C28X core, as well as parameters such as temperature and voltage; generates and outputs the control signal to the execution control module based on the calculated flow; realizes remote data transmission through the 5G communication submodule; outputs the frequency signal and 4-20mA signal to the signal output module through the signal output submodule; processes the input and output signals of the human-computer interaction submodule and provides a user-friendly interactive interface. By processing multiple tasks in parallel, the overall performance and efficiency of the system are improved, ensuring high accuracy and reliability of flow measurement and control.

[0042] The execution control module is a 6-phase inverter bridge structure. The execution control module includes a control isolation circuit, a control drive circuit, a control inverter circuit, a brake circuit and a signal feedback circuit. The control isolation circuit uses a power TLP715 optocoupler; the control drive circuit uses an IR2110S half-bridge driver chip; the control inverter circuit uses an IRF3607 power MOS tube, and the brake circuit is composed of an inductor and a diode; the signal feedback circuit uses an OPA2277 operational amplifier.

[0043] The control module mainly consists of a 6-phase inverter bridge, which is used to control the brushless DC motor to drive the actuator. The module consists of the following parts: the control isolation circuit uses the power TLP715 optocoupler; the control drive circuit uses the IR2110S half-bridge driver chip; the control inverter circuit uses the IRF3607 power MOS tube; the brake circuit consists of an inductor and a diode to discharge the reverse electromotive force generated by the motor, and the brake circuit is used to control the brake operation of the motor; the signal feedback circuit is mainly composed of the high-performance operational amplifier OPA2277. Control the operation of the brushless DC motor, drive the actuator to achieve flow regulation, and provide real-time feedback on the operating status of the actuator.

[0044] The control signal first passes through the control isolation circuit, and uses the power TLP715 optocoupler to remove clutter interference to ensure the purity and stability of the signal; the isolated control signal drives the IR2110S half-bridge driver chip in the control drive circuit to generate a complementary PWM signal; the PWM signal drives the IRF3607 power MOS tube in the control inverter circuit, and outputs a high-power control signal by controlling the inverter circuit to drive the rotation of the brushless DC motor, thereby controlling the action of the actuator; the brake circuit composed of a power inductor and a diode discharges the reverse electromotive force generated by the motor to ensure the stability and safety of the motor operation.

[0045] The signal feedback circuit is mainly composed of the high-performance operational amplifier OPA2277, which collects the valve position, speed and other parameters of the actuator in real time; the collected parameters are transmitted to the control signal feedback acquisition module through the signal feedback circuit to realize real-time monitoring of the operating status of the actuator. The CPU processing module performs real-time calculation and adjustment based on the feedback of valve position, speed and other parameters to ensure that the actuator operates accurately according to the preset parameters.

[0046] By controlling the isolation circuit, the noise interference in the signal is removed to ensure the purity of the control signal; using half-bridge driver chips and power MOS tubes to generate high-power control signals to achieve efficient driving of the DC brushless motor; the inductor and diode design in the inverter circuit ensures that the reverse electromotive force generated by the motor is effectively discharged to ensure the stable operation of the motor and control circuit; the signal feedback circuit composed of high-performance operational amplifiers collects and feeds back the operating parameters of the actuator in real time to ensure closed-loop regulation of the control system and improve the response speed and control accuracy of the system.

[0047] In summary, this embodiment demonstrates the efficiency and stability of the flow automatic controller converter in controlling the DC brushless motor driven actuator by describing the implementation process of the control module in detail. Through the coordinated work of various parts, the control module can achieve precise control and real-time monitoring of the actuator, improving the accuracy and reliability of flow regulation.

[0048] The execution control submodule includes a fuzzy controller and a transformer. The control submodule is used to output control signals and collect feedback from the control system. The core of the control is to effectively adjust the accuracy and real-time performance of the control parameters: proportional coefficient KP, differential coefficient KD, and integral coefficient KI through the introduction of a fuzzy controller. The fuzzy controller here uses the control parameter error e and the error change rate de / dt as input variables, and performs fuzzy reasoning with the fuzzy database. The fuzzy database data is obtained from a large number of data experiments. Specifically, the controller output can be realized through fuzzification, rule base, inference engine, defuzzification and other steps. After the processing of the fuzzy controller, the control accuracy and control efficiency problems can be basically solved. After being processed by the transformer, the intelligent identification control problem can be solved, and the overall control performance will not be affected by changes in the medium viscosity and working environment. The high-performance C28X processor can easily realize the complementary PWM waveform signal output and realize the brushless DC motor control. The control algorithm adopts the transformer simplified model plus fuzzy PID control algorithm, and the accuracy can reach 0.1%. It solves the problems of low control efficiency and low control accuracy of the existing PID and other closed-loop control algorithms.

[0049] The digital drive module includes a programmable waveform generator, an operational amplifier, a serial input multiplier and a circuit operational amplifier. The digital drive module is used to receive the digital drive signal V1 output by the CPU processing module to the mass flow meter sensor drive coil, and drive the measuring tube to vibrate regularly according to the preset vibration frequency; the digital drive module is composed of a high-performance programmable waveform generator AD9833, a high-performance operational amplifier, a serial input multiplier DAC8812, and a high-current operational amplifier. The specific process is: first, the CPU processing module outputs the digital drive signal V1 value waveform generator according to the preset vibration frequency, converts it into a corresponding sine wave signal output, and amplifies the signal through the operational amplifier, and then synthesizes the high-power drive signal with the current through the serial input multiplier, and then adjusts the signal through the high-voltage and high-current operational amplifier to output to the flow meter sensor drive coil, so that the mass flow meter measuring tube vibrates, and as the vibration starts, it is continuously feedback-adjusted until the measuring tube is driven to vibrate according to the set vibration frequency.

[0050] The digital drive method is used to drive the mass flowmeter pipeline vibration, and the drive amplitude can be adjusted in real time to make the mass flowmeter measuring tube vibration reach the optimal state, solving the problem that the analog drive cannot be adjusted automatically, and the intelligence and stability are guaranteed. Because the measuring tube vibrates for a long time, the performance of the tube will change slightly, and the analog drive cannot adjust automatically. The integrated flow automatic controller designed by integrating the mass flowmeter and the actuator solves the problems of low measurement accuracy, low control accuracy, and measurement medium selection of existing products.

[0051] Third embodiment

[0052] The third embodiment of the present application relates to a flow automatic controller converter. The third embodiment is an improvement on the first embodiment, and the specific improvements are:

[0053] like Figure 2As shown, there is a control structure in the flow automatic controller converter, including an execution control submodule and an execution control module. The input signal enters the control structure to start the flow detection and control process; the input signal and feedback parameters are received, and the two are compared to calculate the error signal and the error change rate; the error signal and the error change rate are passed to the fuzzy controller for fuzzification processing; the fuzzy rule base is used for reasoning, the fuzzy result is generated and defuzzified to obtain specific control parameters; the PID controller receives the control parameters and generates a control signal based on the PID control algorithm; the control signal is passed to the actuator through the execution control module to adjust the valve switch to adjust the fluid flow; at the same time, the feedback parameters (such as valve position and speed) in the execution process are collected and passed to the transformer converter for processing; the transformer converter processes the feedback parameters and adjusts the control signal to ensure the closed-loop operation of the control system; finally, the processed signal is passed back to the execution control module to realize error calculation and control adjustment to ensure the high accuracy and high stability of the system.

[0054] Those skilled in the art will appreciate that the above-mentioned embodiments are specific examples for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A flow controller converter, connected to a mass flow meter sensor and an actuator, characterized in that: The flow automatic controller converter comprises: Signal conditioning and acquisition module, CPU module, digital drive module, execution control module, temperature detection module, signal output module, human-computer interaction module, 5G communication module and power management module; the CPU module is composed of a CPU calculation module and a CPU processing module; The signal conditioning and acquisition module, digital drive module, execution control module, temperature detection module, signal output module, human-computer interaction module and 5G communication module are connected to the CPU module.

2. The flow automatic controller converter according to claim 1, characterized in that: The CPU processing module includes: a digital drive submodule, an execution control submodule, a temperature detection submodule, a signal output submodule, a human-computer interaction submodule and a 5G communication submodule.

3. The flow automatic controller converter according to claim 2, characterized in that: The signal conditioning and acquisition module includes: an amplifying circuit, a filtering circuit and an ADC analog-to-digital converter.

4. The flow automatic controller converter according to claim 3, characterized in that: The amplification circuit adopts INA128 instrument amplifier; the filtering circuit adopts OPA voltage operational amplifier; the ADC analog-to-digital converter adopts ADS1298R multi-channel synchronous analog-to-digital converter.

5. The flow automatic controller converter according to claim 1, characterized in that: The CPU module adopts a TMS320F28386 dual-core digital processor, including a first C28X core and a second C28 core.

6. The flow automatic controller converter according to claim 1, characterized in that: The execution control module is a 6-phase inverter bridge structure.

7. The flow automatic controller converter according to claim 6, characterized in that: The execution control module includes a control isolation circuit, a control drive circuit, a control inverter circuit, a brake circuit and a signal feedback circuit.

8. The flow automatic controller converter according to claim 7, characterized in that: The control isolation circuit adopts the power TLP715 optocoupler; the control drive circuit adopts the IR2110S half-bridge drive chip; the control inverter circuit adopts the IRF3607 power MOS tube; the brake circuit is composed of an inductor and a diode; and the signal feedback circuit adopts the OPA2277 operational amplifier.

9. The flow automatic controller converter according to any one of claims 2 to 4, characterized in that: The execution control submodule includes a fuzzy controller and a transformer.

10. The flow automatic controller converter according to any one of claims 1 to 8, characterized in that: The digital driving module includes a programmable waveform generator, an operational amplifier, a serial input multiplier and an operational amplifier.

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