An intelligent centrifugal fan control system

Abstract

The present invention discloses an intelligent centrifugal fan control system, including a data acquisition module, a preprocessing module, a centrifugal fan adjustment module, a compensation correction module and a centrifugal fan control module. The present invention belongs to the field of centrifugal fan control technology, and specifically refers to an intelligent centrifugal fan control system. The scheme effectively responds to the load change and the working state change of the speed error by fuzzy processing of the fan speed error, the error change rate and the load change rate; adjusts the control rules according to the changes of the real-time load and speed error, adapts to uncertain factors, and avoids the over-response or hysteresis response of the centrifugal fan under the changing load; reduces the influence of external disturbances on the operation of the fan by quickly adjusting the control input; avoids energy efficiency loss caused by over-regulation or slow control response based on the fixed time controller design; adjusts the control signal in real time based on the compensation mechanism design unit, responds to external disturbances in real time, and ensures the stability and efficiency of the centrifugal fan control.

Description

Technical Field

[0001] The invention relates to the technical field of centrifugal fan control, and in particular to an intelligent centrifugal fan control system. Background Art

[0002] The centrifugal fan control system is an automated system used to control and optimize the operation of centrifugal fans. Centrifugal fans are widely used in industries such as industry, ventilation, air conditioning, HVAC, and electricity, and are mainly used for gas transportation, air circulation, and exhaust. The goal of the centrifugal fan control system is to ensure the stable operation of the fan, improve efficiency, reduce energy consumption, and adjust the fan's speed, flow, pressure, power and other parameters according to actual needs. However, the general centrifugal fan control system has a slow control response speed to changes in different working states, and cannot adapt to load fluctuation uncertainties in real time, which leads to excessive vibration and energy waste. The general centrifugal fan control system has a poor ability to respond to external disturbances and cannot maintain stable operation in complex environments, which leads to energy efficiency loss. Summary of the invention

[0003] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an intelligent centrifugal fan control system. In view of the fact that the general centrifugal fan control system has a slow control response speed to different working state changes and cannot adapt to the uncertain factors of load fluctuations in real time, which leads to excessive vibration and energy waste, this solution effectively responds to the working state changes of load changes and speed errors through fuzzy processing of fan speed errors, error change rate and load change rate; adjusts the control rules according to the changes in real-time load and speed errors to adapt to uncertain factors and avoid excessive response or delayed response of the centrifugal fan under changing loads; in view of the fact that the general centrifugal fan control system has a poor ability to respond to external disturbances and cannot maintain stable operation in complex environments, which leads to energy efficiency loss, this solution reduces the impact of external disturbances on fan operation by quickly adjusting the control input; avoids energy efficiency loss caused by over-adjustment or slow control response based on fixed time controller design; adjusts the control signal in real time based on the compensation mechanism design unit, responds to external disturbances in real time, and ensures stable and efficient control of the centrifugal fan.

[0004] The technical solution adopted by the present invention is as follows: An intelligent centrifugal fan control system provided by the present invention includes a data acquisition module, a preprocessing module, a centrifugal fan adjustment module, a compensation correction module and a centrifugal fan control module;

[0005] The data acquisition module collects historical centrifugal fan operation data;

[0006] The preprocessing module performs data cleaning, data conversion and standardization on the collected data;

[0007] The centrifugal fan adjustment module calculates the centrifugal fan control input by fuzzy processing the speed error, error change rate and load change rate of the centrifugal fan, and outputs the speed adjustment amount and motor torque adjustment amount of the centrifugal fan based on fuzzy rules and adaptive weighting coefficients, thereby achieving precise adjustment of the centrifugal fan;

[0008] The compensation correction module optimizes the control input of the centrifugal fan by designing a sliding mode regulation and a fixed time controller, and dynamically adjusts the control signal to offset the external disturbance by combining the compensation mechanism and the extended Kalman filter;

[0009] The centrifugal fan control module controls the centrifugal fan based on the data collected in real time.

[0010] Furthermore, in the data acquisition module, the historical centrifugal fan operation data includes centrifugal fan operation parameters and operation status; and the operation status is used as a data label.

[0011] Furthermore, in the preprocessing module, the data cleaning is to process missing values ​​and duplicate values; the data conversion is to convert the data into a vector form; and the standardization processing is to standardize the data based on the maximum and minimum normalization method.

[0012] Furthermore, the centrifugal fan adjustment module specifically includes the following contents:

[0013] Input design unit; determine the control input and output of the centrifugal fan and perform fuzzy processing; specifically: define the input variables as the centrifugal fan speed error and the centrifugal fan error change rate, which are expressed as and ; ; ; Define the load change rate ; ; L is the load of the centrifugal fan; the input variables are fuzzy processed and expressed as: ; ; ;in, is the target set speed of the centrifugal fan; is the actual speed of the centrifugal fan; t is the running time; and are the membership degrees of the speed error and error change rate respectively; and are the standardized parameters of the speed error and error change rate, respectively;

[0014] Membership function construction unit; through the fuzzification process, the fuzzy membership of the centrifugal fan input is calculated to obtain the membership of the fuzzy rule , expressed as: ; ;in, and are the actual input value and the target value respectively; is the adaptive standard coefficient; is the initial standard coefficient; is a standard parameter;

[0015] Rule response strength calculation unit; calculation rule response strength; rule response strength The calculation is expressed as: ; ;in, is the membership degree of the nth fuzzy rule; N is the number of rules; is the adaptive weighting coefficient; is the error parameter; It is the average weighted value of the centrifugal fan speed error change, the centrifugal fan power error change and the centrifugal fan temperature error change;

[0016] Output calculation unit: Based on the fuzzy regulation rules, the final centrifugal fan control output is calculated, including the speed adjustment and the motor torque adjustment. Specifically, the quasi-centrifugal fan speed adjustment is obtained by weighted summation of the rule response strength. And the motor torque adjustment , expressed as: ; ; Get the centrifugal fan control output, expressed as: ; ; ;in, and They are the transposition of the parameter matrices related to the speed adjustment of the centrifugal fan and the torque adjustment of the motor respectively; and Under given fuzzy rules, and Fuzzy output of and They are the final centrifugal fan speed adjustment and motor torque adjustment respectively; is the fuzzy input vector.

[0017] Furthermore, the compensation correction module specifically includes the following contents:

[0018] Sliding mode control design unit; based on the centrifugal fan speed error and error change rate, design the dynamic control surface , expressed as: ; Calculate the dynamic adjustment surface change rate, expressed as: ;in, and is the dynamic adjustment surface coefficient; It is the dynamic adjustment surface change rate; and is the control gain coefficient; is a smoothing term; is the smoothing parameter; is the smoothing term adjustment coefficient;

[0019] Fixed time controller design unit; ensure that the centrifugal fan control system reaches the target state stably within a limited time; the control input is , Combined with the sliding mode dynamics, it can be expressed as: ;in, is a fixed-time control input that adjusts the control signal of the centrifugal fan; b is a scaling factor; sgn(·) is a sign function; α and β are nonlinear penalty factors; u and v are additional nonlinear terms that adjust the controller response to changes in the centrifugal fan speed error; γ is a control gain coefficient;

[0020] Compensation mechanism design unit; the compensation mechanism is used to adjust the control signal of the centrifugal fan to offset external disturbances; for external disturbances such as load fluctuations and friction changes, the compensation mechanism is expressed as: ;in, is the compensation control signal, which indicates the correction amount to the centrifugal fan control input; is the extended Kalman filter;

[0021] Centrifugal fan adjustment convergence judgment unit; randomly select historical centrifugal fan operation data as a test set; perform a compensation mechanism correction on the data, perform centrifugal fan adjustment processing based on the test set, and calculate the convergence time of the test set; convergence time It is expressed as: ; Among them, a maximum convergence time is set in advance. If the convergence time is higher than the maximum convergence time, the data operation status is judged to be abnormal; a prediction threshold is set in advance. If the accuracy of abnormal judgment on the test set is higher than the prediction threshold, the training is completed; otherwise, the module parameters are adjusted and the test set is reselected to perform centrifugal fan adjustment convergence judgment.

[0022] Furthermore, the centrifugal fan control module collects centrifugal fan operating parameters in real time, and controls the centrifugal fan based on the centrifugal fan adjustment module. If the convergence time calculated by the compensation correction module for the real-time collected data is higher than the maximum convergence time, an early warning process is performed.

[0023] The beneficial effects achieved by the present invention using the above scheme are as follows:

[0024] (1) In view of the problem that the general centrifugal fan control system has a slow control response speed to different working state changes and cannot adapt to the uncertain factors of load fluctuations in real time, which leads to excessive vibration and energy waste, this scheme uses fuzzy processing of the centrifugal fan speed error, error change rate and load change rate to effectively respond to the working state changes of load changes and speed errors; adjust the control rules according to the changes in real-time load and speed errors to adapt to uncertain factors and avoid excessive response or delayed response of the centrifugal fan under changing loads.

[0025] (2) In view of the problem that general centrifugal fan control systems have poor response capabilities to external disturbances and cannot maintain stable operation in complex environments, which in turn leads to energy efficiency loss, this solution reduces the impact of external disturbances on the operation of centrifugal fans by quickly adjusting the control input; avoids energy efficiency loss caused by over-adjustment or slow control response based on the fixed time controller design; and adjusts the control signal in real time based on the compensation mechanism design unit to respond to external disturbances in real time, ensuring stable and efficient control of the centrifugal fan. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic diagram of a flow chart of an intelligent centrifugal fan control system provided by the present invention;

[0027] Figure 2 It is a flow chart of the centrifugal fan adjustment module;

[0028] Figure 3 Schematic diagram of the flow chart of the compensation correction module.

[0029] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] In the description of the present invention, it should be understood that terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “top”, “bottom”, “inside” and “outside” indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0032] Example 1, see Figure 1 , the present invention provides an intelligent centrifugal fan control system, including a data acquisition module, a preprocessing module, a centrifugal fan adjustment module and a compensation correction module;

[0033] The data acquisition module collects historical centrifugal fan operation data; and sends the data to the preprocessing module;

[0034] The preprocessing module performs data cleaning, data conversion and standardization on the collected data; and sends the data to the centrifugal fan adjustment module;

[0035] The centrifugal fan adjustment module calculates the centrifugal fan control input by fuzzy processing of the speed error, error change rate and load change rate of the centrifugal fan, and outputs the speed adjustment amount and motor torque adjustment amount of the centrifugal fan based on fuzzy rules and adaptive weighting coefficients, thereby achieving precise adjustment of the centrifugal fan; and sends the data to the compensation correction module and the centrifugal fan control module;

[0036] The compensation correction module optimizes the control input of the centrifugal fan by designing a sliding mode regulation and a fixed time controller, and dynamically adjusts the control signal to offset the external disturbance by combining the compensation mechanism and the extended Kalman filter; and sends the data to the centrifugal fan regulation module and the centrifugal fan control module;

[0037] The centrifugal fan control module controls the centrifugal fan based on the data collected in real time.

[0038] Example 2, see Figure 1 This embodiment is based on the above embodiment. In the data acquisition module, the historical centrifugal fan operation data includes centrifugal fan operation parameters and operation status; the operation status is used as a data label; the centrifugal fan operation parameters include centrifugal fan speed, motor drive torque, load torque, power, operation time and temperature; the operation status includes normal operation and abnormal operation.

[0039] Example 3, see Figure 1 This embodiment is based on the above embodiment. In the preprocessing module, data cleaning is to process missing values ​​and duplicate values; the data conversion is to convert the data into a vector form; and the standardization processing is to standardize the data based on the maximum and minimum normalization method.

[0040] Example 4, see Figure 1 and Figure 2 , this embodiment is based on the above embodiment, and the centrifugal fan adjustment module specifically includes the following contents:

[0041] Input design unit; determine the control input and output of the centrifugal fan and perform fuzzy processing; specifically: define the input variables as the centrifugal fan speed error and the centrifugal fan error change rate, which are expressed as and ; ; ; Define the load change rate ; ; L is the load of the centrifugal fan; the input variables are fuzzy processed and expressed as: ; ; ;in, is the target set speed of the centrifugal fan; is the actual speed of the centrifugal fan; t is the running time; and are the membership degrees of the speed error and error change rate respectively; and are the standardized parameters of the speed error and error change rate, respectively;

[0042] Membership function construction unit; through the fuzzification process, the fuzzy membership of the centrifugal fan input is calculated to obtain the membership of the fuzzy rule , expressed as: ; ;in, and are the actual input value and the target value respectively; is the adaptive standard coefficient; is the initial standard coefficient; is a standard parameter;

[0043] Rule response strength calculation unit; calculation rule response strength; rule response strength The calculation is expressed as: ; ;in, is the membership degree of the nth fuzzy rule; N is the number of rules; is the adaptive weighting coefficient; is the error parameter; It is the average weighted value of the centrifugal fan speed error change, the centrifugal fan power error change and the centrifugal fan temperature error change;

[0044] Output calculation unit: Based on the fuzzy regulation rules, the final centrifugal fan control output is calculated, including the speed adjustment and the motor torque adjustment. Specifically, the quasi-centrifugal fan speed adjustment is obtained by weighted summation of the rule response strength. And the motor torque adjustment , expressed as: ; ; Get the centrifugal fan control output, expressed as: ; ; ;in, and They are the transposition of the parameter matrices related to the speed adjustment of the centrifugal fan and the torque adjustment of the motor respectively; and Under given fuzzy rules, and Fuzzy output of and They are the final centrifugal fan speed adjustment and motor torque adjustment respectively; is the fuzzy input vector.

[0045] By performing the above operations, in view of the problem that the general centrifugal fan control system has a slow control response speed to different working state changes and cannot adapt to the uncertain factors of load fluctuations in real time, which leads to excessive vibration and energy waste, this solution fuzzy processes the centrifugal fan speed error, error change rate and load change rate to effectively cope with the working state changes of load changes and speed errors; adjust the control rules according to the changes in real-time load and speed errors to adapt to uncertain factors and avoid excessive response or delayed response of the centrifugal fan under changing loads.

[0046] Example 5, see Figure 1 and Figure 3 This embodiment is based on the above embodiment, and the compensation correction module specifically includes the following contents:

[0047] Sliding mode control design unit; based on the centrifugal fan speed error and error change rate, design the dynamic control surface , expressed as: ; Calculate the dynamic adjustment surface change rate, expressed as: ;in, and is the dynamic adjustment surface coefficient; It is the dynamic adjustment surface change rate; and is the control gain coefficient; is a smoothing term; is the smoothing parameter; is the smoothing term adjustment coefficient;

[0048] Fixed time controller design unit; ensure that the centrifugal fan control system reaches the target state stably within a limited time; the control input is , Combined with the sliding mode dynamics, it can be expressed as: ;in, is a fixed-time control input that adjusts the control signal of the centrifugal fan; b is a scaling factor; sgn(·) is a sign function; α and β are nonlinear penalty factors; u and v are additional nonlinear terms that adjust the controller response to changes in the centrifugal fan speed error; γ is a control gain coefficient;

[0049] Compensation mechanism design unit; the compensation mechanism is used to adjust the control signal of the centrifugal fan to offset external disturbances; for external disturbances such as load fluctuations and friction changes, the compensation mechanism is expressed as: ;in, is the compensation control signal, which indicates the correction amount to the centrifugal fan control input; It is the extended Kalman filter;

[0050] Centrifugal fan adjustment convergence judgment unit; randomly select historical centrifugal fan operation data as a test set; perform a compensation mechanism correction on the data, perform centrifugal fan adjustment processing based on the test set, and calculate the convergence time of the test set; convergence time It is expressed as: ; Among them, a maximum convergence time is set in advance. If the convergence time is higher than the maximum convergence time, the data operation status is judged to be abnormal; a prediction threshold is set in advance. If the accuracy of abnormal judgment on the test set is higher than the prediction threshold, the training is completed; otherwise, the module parameters are adjusted and the test set is reselected to perform centrifugal fan adjustment convergence judgment.

[0051] By performing the above operations, in view of the problem that general centrifugal fan control systems have poor response capabilities to external disturbances and cannot maintain stable operation in complex environments, which leads to energy efficiency loss, this solution reduces the impact of external disturbances on the operation of centrifugal fans by quickly adjusting the control input; avoids energy efficiency loss due to over-adjustment or slow control response based on the fixed time controller design; and adjusts the control signal in real time based on the compensation mechanism design unit, responds to external disturbances in real time, and ensures stable and efficient control of the centrifugal fan.

[0052] Example 6, see Figure 1 This embodiment is based on the above embodiment. The centrifugal fan control module collects the centrifugal fan operating parameters in real time and controls the centrifugal fan based on the centrifugal fan adjustment module. If the convergence time calculated by the compensation correction module for the real-time collected data is higher than the maximum convergence time, an early warning process is performed.

[0053] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0054] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

[0055] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. An intelligent centrifugal fan control system, characterized in that: The system includes a data acquisition module, a preprocessing module, a centrifugal fan adjustment module, a compensation correction module and a centrifugal fan control module; The data acquisition module collects historical centrifugal fan operation data; The preprocessing module performs data cleaning, data conversion and standardization on the collected data; The centrifugal fan adjustment module calculates the centrifugal fan control input by fuzzy processing the speed error, error change rate and load change rate of the centrifugal fan, and outputs the speed adjustment amount and motor torque adjustment amount of the centrifugal fan based on fuzzy rules and adaptive weighting coefficients, thereby achieving precise adjustment of the centrifugal fan; The compensation correction module optimizes the control input of the centrifugal fan by designing a sliding mode regulation and a fixed time controller, and dynamically adjusts the control signal to offset the external disturbance by combining the compensation mechanism and the extended Kalman filter; The centrifugal fan control module controls the centrifugal fan based on the data collected in real time; The centrifugal fan adjustment module includes an input design unit; determines the control input and output of the centrifugal fan and performs fuzzy processing; specifically, the input variables are defined as the centrifugal fan speed error and the centrifugal fan error change rate, respectively expressed as and ; ; ; Define the load change rate ; ; L is the load of the centrifugal fan; the input variables are fuzzy processed and expressed as: ; ; ;in, is the target set speed of the centrifugal fan; is the actual speed of the centrifugal fan; t is the running time; and are the membership degrees of the speed error and error change rate respectively; and are the standardized parameters of the speed error and error change rate, respectively; is the change in the actual speed of the centrifugal fan; is the membership function of the load change rate; It is a standardized parameter for the rate of load change.

2. The intelligent centrifugal fan control system according to claim 1, characterized in that: The centrifugal fan adjustment module also includes the following contents: Membership function construction unit; through the fuzzification process, the fuzzy membership of the centrifugal fan input is calculated to obtain the membership of the fuzzy rule , expressed as: ; ;in, and are the actual input value and the target value respectively; is the adaptive standard coefficient; is the initial standard coefficient; is a standard parameter; Rule response strength calculation unit; calculation rule response strength; rule response strength The calculation is expressed as: ; ;in, is the membership degree of the nth fuzzy rule; N is the number of rules; is the adaptive weighting coefficient; is the error parameter; It is the average weighted value of the centrifugal fan speed error change, the centrifugal fan power error change and the centrifugal fan temperature error change; Output calculation unit.

3. The intelligent centrifugal fan control system according to claim 2 is characterized in that: The output calculation unit calculates the final centrifugal fan control output based on the fuzzy adjustment rule, including the speed adjustment amount and the motor torque adjustment amount; specifically, the quasi-centrifugal fan speed adjustment amount is obtained by weighted summation of the rule response intensity. And the motor torque adjustment , expressed as: ; ; The centrifugal fan control output is obtained, which is expressed as: ; ; ;in, and They are the transposition of the parameter matrices related to the speed adjustment of the centrifugal fan and the torque adjustment of the motor respectively; and Under given fuzzy rules, and The fuzzy output of and They are the final centrifugal fan speed adjustment and motor torque adjustment respectively; is the fuzzy input vector.

4. The intelligent centrifugal fan control system according to claim 3 is characterized in that: The compensation correction module specifically includes the following contents: Sliding mode control design unit; based on the centrifugal fan speed error and error change rate, design the dynamic control surface , expressed as: ; Calculate the dynamic adjustment surface change rate, expressed as: ;in, and is the dynamic adjustment surface coefficient; It is the dynamic adjustment surface change rate; and is the control gain coefficient; is a smoothing term; is the smoothing parameter; is the smoothing term adjustment coefficient; Fixed time controller design unit; ensure that the centrifugal fan control system reaches the target state stably within a limited time; the control input is , Combined with the sliding mode dynamics, it can be expressed as: ;in, is a fixed-time control input that adjusts the control signal of the centrifugal fan; b is a scaling factor; sgn(·) is a sign function; α and β are nonlinear penalty factors; u and v are additional nonlinear terms that adjust the controller response to changes in the centrifugal fan speed error; γ is a control gain coefficient; Compensation mechanism design unit; the compensation mechanism is used to adjust the control signal of the centrifugal fan to offset external disturbances; for external disturbances such as load fluctuations and friction changes, the compensation mechanism is expressed as: ;in, is the compensation control signal, which indicates the correction amount to the centrifugal fan control input; It is the extended Kalman filter; Centrifugal fan adjustment convergence judgment unit; randomly select historical centrifugal fan operation data as a test set; perform a compensation mechanism correction on the data, perform centrifugal fan adjustment processing based on the test set, and calculate the convergence time of the test set; convergence time It is expressed as: ;in, is the convergence threshold; a maximum convergence time is set in advance. If the convergence time is higher than the maximum convergence time, the data operation status is judged to be abnormal; a prediction threshold is set in advance. If the accuracy of abnormal judgment on the test set is higher than the prediction threshold, the training is completed; otherwise, the module parameters are adjusted and the test set is reselected to perform centrifugal fan adjustment convergence judgment.

5. The intelligent centrifugal fan control system according to claim 4 is characterized in that: In the data acquisition module, the historical centrifugal fan operation data includes centrifugal fan operation parameters and operation status; the operation status is used as a data label; the centrifugal fan operation parameters include centrifugal fan speed, motor drive torque, load torque, power, operation time and temperature; the operation status includes normal operation and abnormal operation.

6. The intelligent centrifugal fan control system according to claim 5, characterized in that: The centrifugal fan control module collects centrifugal fan operating parameters in real time and controls the centrifugal fan based on the centrifugal fan adjustment module. If the convergence time calculated by the compensation correction module for the real-time collected data is higher than the maximum convergence time, an early warning process is performed.

7. The intelligent centrifugal fan control system according to claim 6, characterized in that: In the preprocessing module, the data cleaning is to process missing values ​​and duplicate values; the data conversion is to convert the data into vector form; and the standardization processing is to standardize the data based on the maximum and minimum normalization method.

Images