Structure wind vibration control system and method based on wind speed and response data

Abstract

The invention relates to a structure wind vibration control system and method based on wind speed and response data, the structure wind vibration control system is used for carrying out structure wind vibration control on a building group, and the structure wind vibration control system comprises a wind load prediction assembly and a structure control assembly. The wind speed sensors are arranged on the surrounding building where the controlled structure is located, and the wind load prediction assembly can predict the borne wind load through fluid mechanics by utilizing the collected wind speed data and combining the positions where the sensors are located and surrounding structure parameters. And the structure control assembly compensates the time lag of the system by using the prediction result of the wind load, calculates and considers the control force after the time delay in combination with the structure response data, and applies the control force to the structure through the actuator, thereby reducing the wind-induced vibration response of the structure. Compared with the prior art, the method can solve the time delay problem of active and semi-active control of the structure, improves the control effect and robustness, and reduces the overall energy consumption of structure control.

Description

Technical Field

[0001] The present invention relates to the field of civil engineering structure vibration control, and in particular to a structure wind vibration control system and method based on wind speed and response data. Background Art

[0002] Wind is a ubiquitous phenomenon in nature and an important consideration in the design of many engineering structures. Due to the dynamic characteristics of wind, structures will vibrate under wind loads, which will have an adverse effect on the safety, applicability, durability and other aspects of the structure, such as causing structural damage, affecting personnel comfort, exacerbating weld fatigue, bolt loosening, and wear of fan parts, etc., especially for wind load-sensitive structures such as high-rise buildings, large-span bridges, and tall structures. Traditional structural wind-resistant design mainly meets the bearing capacity requirements by increasing the cross-sectional size of structural components. This method is not only not economical, but also difficult to meet the requirements of stiffness and comfort, and cannot fundamentally solve the problems caused by harmful vibrations. In this regard, reducing the response of the structure by adding a vibration control system has become an important development direction in the field of structural wind vibration control. However, the existing vibration control technology still has certain problems:

[0003] (1) For passive control technologies such as tuned mass dampers, since they are sensitive to the dynamic characteristics of the main structure and external excitation, due to factors such as deviations in structural parameter calculations, degradation of structural stiffness, uncertainty in loads and material properties, the actual vibration reduction effect is likely to deviate significantly from the theoretical calculation results, and it is difficult to adapt to the long-term performance evolution of the structure.

[0004] (2) For active and semi-active control technologies, due to objective factors such as load or response measurement, control force calculation, and actuator execution, the control system inevitably has time delay problems, which makes it impossible to provide the optimal control force for the structure in a timely and effective manner, thereby failing to achieve the expected control effect, and even seriously reducing or destroying the stability of the structural control system. Most existing studies can only take certain compensation measures based on the characteristics of the structural response, and cannot fundamentally eliminate the impact of the time delay problem. When the delay is large, the control effect is significantly reduced. The delay of actual engineering structure control systems is often much greater than the results of theoretical research.

[0005] (3) Active and semi-active control technologies are highly dependent on the measurement results of sensors arranged in the structure. In practical applications, problems such as sensor measurement error fluctuations, abnormal data, and sensor failure may have a huge impact on the control system, leading to doubts about the reliability of active control and semi-active control technologies in practice.

[0006] In recent years, with the development of big data, the Internet of Things, and structural health monitoring technology, it has become easier to obtain real-time data from various sensors located in different spatial positions, providing feasibility for introducing data from multiple sensors into active and semi-active structural control.

[0007] Patent publication number CN119623354A discloses a method and system for wind-resistant design of large-span warehouse structures based on numerical simulation of wind loads. The system establishes an initial computational fluid dynamics model based on the initial structural data of the large-span warehouse structure; constructs corresponding fluid control equations and turbulence models based on the initial computational fluid dynamics model; performs numerical simulation of wind loads based on preset operating conditions, the initial computational fluid dynamics model, the fluid control equations, and the turbulence model to obtain wind load data; inputs the wind load data and initial structural data into a wind load-stress mapping model to obtain predicted component stress values for the large-span warehouse structure; and compares the predicted component stress values with the maximum component stress values to determine the wind-resistant design results for the initial structural data of the large-span warehouse structure. The system can simulate the wind loads of large-span warehouse structures using actual dynamic operating conditions, and evaluate the wind-resistant design results of large-span warehouse structures based on the simulated wind loads, making the evaluation results more accurate. However, this system and method obtains the wind load and internal force of the structure through computational fluid dynamics under given environmental wind parameters, and evaluates the design based on the internal force and ultimate bearing capacity of the components. It does not consider the dynamic response of the structure such as displacement, velocity, acceleration, and does not design a structural control system. It is not suitable for solving the structural vibration problem mentioned above, and the content involved in this patent cannot solve the time lag problem of the active and semi-active control systems of the structure. Summary of the Invention

[0008] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a structural wind-induced vibration control system and method based on wind speed and response data. By deploying wind speed sensors in the surrounding environment of the structure, and combining the sensor location with the surrounding structural parameters, the wind load is predicted through fluid dynamics, thereby compensating for the time delay problem in the active and semi-active control of the structure and improving the control effect and robustness. Because the wind speed sensor data and the future wind load and motion state of the structure are related by fluid dynamics and structural dynamics, this method can more effectively solve the time lag problem than relying solely on structural response sensors for control.

[0009] The purpose of the present invention can be achieved by the following technical solutions:

[0010] In one aspect, the present invention provides a structural wind-induced vibration control system based on wind speed and response data, which is used to control structural wind-induced vibration of a building complex, wherein the building complex includes a controlled structure located in the center and surrounding buildings located around the controlled structure. The structural wind-induced vibration control system includes a wind load prediction component and a structural control component.

[0011] The wind load prediction component includes a data acquisition module and a wind field reconstruction and prediction module electrically connected to the data acquisition module and used to obtain the wind load results of the controlled structure after a period of time, wherein the data acquisition module includes a group of wind speed sensors arranged on the tops of the surrounding buildings and along the boundaries;

[0012] The structural control component includes a structural response sensor arranged on the controlled structure, a controller electrically connected to the structural response sensor and the wind field reconstruction and prediction module, and an actuator connected to the controller and used to apply control force and arranged on the controlled structure.

[0013] Furthermore, the surrounding buildings form a polygonal boundary around the controlled structure, and the vertical windward surface of the polygonal boundary is the regional boundary. The regional boundary is divided into an entrance boundary, an outlet boundary and a wall boundary according to the wind direction, wherein the windward surface corresponding to the wind inflow direction of the regional boundary is the entrance boundary, the windward surface corresponding to the wind outflow direction of the regional boundary is the outlet boundary, and the remaining edge vertical surfaces of the regional boundary except the entrance boundary and the outlet boundary are wall boundaries.

[0014] Furthermore, the wind speed sensor group includes:

[0015] a plurality of first wind speed sensors located on top of surrounding buildings at the entrance boundary and used to detect wind speed in the inflow direction;

[0016] a plurality of second wind speed sensors located on top of surrounding buildings at the outlet boundary and used to detect wind speed in the outflow direction;

[0017] and a number of third wind speed sensors located on top of surrounding buildings at the boundary of the wall.

[0018] Among them, the regional boundary is used as the boundary surface, the wind speed sensor group is located on the boundary surface, and the measured wind speed vector is projected toward the outer normal direction of the boundary surface at that point. A positive projection indicates the wind outflow direction, and a negative projection indicates the wind inflow direction. The projection size is used as the inlet boundary condition. A projection of 0 indicates that the wind speed is perpendicular to the boundary or the wind speed is close to 0, and a third wind speed sensor is set.

[0019] Furthermore, the inlet boundary is divided into a plurality of inlet boundary sub-regions, each inlet boundary sub-region covers a continuous region on the inlet boundary that is closest to a specific first wind speed sensor, and the wind speed data of each inlet boundary sub-region is uniquely provided by the nearest neighboring first wind speed sensor associated therewith;

[0020] The outlet boundary is divided into a plurality of outlet boundary sub-regions, each outlet boundary sub-region covers a continuous region on the outlet boundary that is closest to a specific second wind speed sensor, and the wind speed data of each outlet boundary sub-region is provided exclusively by the nearest neighboring first wind speed sensor associated therewith;

[0021] The wall boundary is divided into several wall boundary sub-areas, each wall boundary sub-area covers a continuous area on the wall boundary that is closest to a specific third wind speed sensor, and the wind speed data of each wall boundary sub-area is uniquely provided by the nearest neighbor third wind speed sensor associated with it.

[0022] Furthermore, each surrounding building is provided with 2 first wind speed sensors, 2 second wind speed sensors, 2 third wind speed sensors, 1 first wind speed sensor and 1 third wind speed sensor, or 1 second wind speed sensor and 1 third wind speed sensor, and the first wind speed sensor, the second wind speed sensor or the third wind speed sensor is provided at the top of the junction of the surrounding building and the boundary of the adjacent area.

[0023] Furthermore, the surrounding buildings are distributed around the controlled structure in an a×b rectangle. When the wind is perpendicular to one side of the rectangle, the number of the first wind speed sensors is 2a-2, the number of the second wind speed sensors is 2a-2, and the number of the third wind speed sensors is 2b-2, where a represents the number of surrounding buildings located at the wind inflow or outflow boundary perpendicular to the wind direction, and b represents the number of surrounding buildings parallel to the wind direction and located at the boundaries on both sides.

[0024] Furthermore, the structural response sensor includes a displacement sensor, a velocity sensor or an acceleration sensor. The structural response adopts displacement, velocity, acceleration or a combination of two or more.

[0025] Furthermore, the controller is an LQG controller.

[0026] Furthermore, the actuator comprises a hydraulic jack or a semi-active tuned mass damper. When the actuator is a hydraulic jack, a force is applied to the controlled structure based on the required control force. When the actuator is a semi-active tuned mass damper, optimal damper parameters are calculated based on the corresponding prediction results and adjusted.

[0027] Furthermore, when the actuator is a hydraulic jack, the hydraulic jack is set at a position with greater force in each layer or several layers; when the actuator is a semi-active tuned mass damper, the semi-active tuned mass damper is set at the top of the controlled structure.

[0028] Furthermore, structural response sensors are arranged on the floor and roof of each layer of the controlled structure.

[0029] In another aspect, the present invention further provides a method for controlling structural wind vibration based on wind speed and response data, which is implemented using the aforementioned structural wind vibration control system and includes the following steps:

[0030] S1. Using the area covered by the wind speed sensor group as the fluid calculation area and the wind speed data measured by the wind speed sensor group as the fluid boundary condition, the wind load result on the controlled structure after a period of time is calculated by the wind field reconstruction and prediction module, and the wind load result is converted into an electrical signal and transmitted to the controller;

[0031] S2. Using a structural response sensor to detect the structural response index of each layer of the controlled structure in the vertical direction, converting the index into an electrical signal, and transmitting the signal to the controller;

[0032] S3. According to the wind load result and the structural response index, the controller controls the actuator to apply a control force to the controlled structure, thereby controlling the response of the controlled structure under the action of the wind load.

[0033] Furthermore, in step S1, the wind field reconstruction and prediction module calculates the surface pressure of the controlled structure after a period of time through fluid mechanics, and integrates the pressure along the surface of the controlled structure to further calculate the wind load result of the controlled structure after a period of time;

[0034] The period of time is not less than the delay of the structural control component.

[0035] Furthermore, the wind field reconstruction and prediction module divides the area covered by the wind speed sensor group into a grid, and solves the fluid dynamics equations in the area through the finite volume method or the finite element method to obtain the pressure on the surface of the controlled structure.

[0036] Furthermore, during the solution process, the wind speed of the inlet boundary sub-area measured by the first wind speed sensor is used as the inlet boundary condition, the outlet boundary sub-area adopts the free boundary condition, and the wall boundary sub-area adopts the wall boundary condition.

[0037] Furthermore, in step S3, the time from the current moment to the time after the delay of the structural control component is used as the solution interval, and the structural motion equation is solved by the step-by-step integration method. According to the motion state and wind load of the controlled structure after the delay of the structural control component obtained by calculation, the control force applied by the actuator to the controlled structure is calculated by the control theory in combination with the structural response index.

[0038] Compared with the prior art, the present invention has the following advantages:

[0039] (1) Solve the time lag problem of active and semi-active structural control technologies. The present invention uses wind speed sensors to monitor a larger flow field range and make real-time predictions of the wind load on the structure. It can calculate the control force after considering the system delay, and there is a relationship between the wind speed sensor data and the future wind load and motion state of the controlled structure in terms of fluid mechanics and structural dynamics, thereby improving the control effect and reducing the overall energy consumption of the control system. The existing technology mainly controls through the dynamic response collected by the sensor. Although it can compensate for the delay through certain strategies, it still cannot fundamentally eliminate the influence of time lag. In the case of large delay or complex structure, the control effect is significantly reduced, and even the response of the structure is increased.

[0040] (2) Improve the reliability of the structural control system. This invention utilizes multi-source data of wind speed and structural response. By combining the two, it can reduce the impact of sensor errors and abnormal data, improve the reliability and robustness of the structural control system, and reduce the control system instability problem caused by high latency.

[0041] (3) The present invention can be easily migrated to any form of active or semi-active control system, providing a solution to the time lag problem for a large number of existing research and inventions on structural vibration control, and promoting the application of related technologies in practical engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The schematic diagram of the structural wind vibration control system based on wind speed and response data of the present invention;

[0043] Figure 2 This is a layout diagram of the building complex used in Example 1 of the present invention;

[0044] Figure 3 Schematic diagram of the arrangement of wind speed sensors in Example 1 of the present invention;

[0045] Figure 4 The fluid mechanics calculation model established in Example 1 of the present invention;

[0046] Figure 5 The pressure distribution cloud diagram of the controlled structure obtained by fluid mechanics calculation in Example 1 of the present invention;

[0047] Figure 6 is the time history curve of the total wind load on the structure in the X direction calculated in Example 1 of the present invention;

[0048] Figure 7 is the time history curve of the total wind load on the structure in the Y direction calculated in Example 1 of the present invention;

[0049] Figure 8The structural dynamic calculation model established in Example 1 of the present invention;

[0050] Figure 9 This is a building complex layout diagram used in Example 2 of the present invention;

[0051] Figure 10 Schematic diagram of the arrangement of wind speed sensors in Example 2 of the present invention;

[0052] Figure 11 This is the fluid mechanics calculation model established in Example 2 of the present invention.

[0053] Description of the marks in the figure:

[0054] 1-building complex, 11-controlled structure, 12-surrounding buildings;

[0055] 2-data acquisition module, 21-wind speed sensor group, 211-first wind speed sensor, 212-second wind speed sensor, 213-third wind speed sensor;

[0056] 3- Wind field reconstruction and prediction module;

[0057] 4-Structural response sensor;

[0058] 5-Controller;

[0059] 6-Actuator;

[0060] 71 - inlet boundary, 711 - inlet boundary sub-region, 72 - outlet boundary, 721 - outlet boundary sub-region, 73 - wall boundary, 731 - wall boundary sub-region. DETAILED DESCRIPTION

[0061] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments. The embodiments are based on the technical solutions of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments. In the following embodiments or examples, unless otherwise specified, functional components or structures are conventional components or conventional structures used in the art to achieve the corresponding functions.

[0062] It should be noted that in the description of the present invention, the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," "the other end," and the like, indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0063] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "provided with," "connected," etc., should be understood in a broad sense. For example, "connected" may refer to a fixed connection, a detachable connection, or an integral connection; it may refer to a mechanical connection or an electrical connection; it may refer to a direct connection or an indirect connection through an intermediate medium; it may refer to internal communication between two components. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0064] A wind-induced vibration control system based on wind speed and response data is used to control the wind-induced vibration of a building complex 1. The building complex 1 includes a controlled structure 11 located at the center and surrounding buildings 12 located around the controlled structure 11. The wind-induced vibration control system includes a wind load prediction component and a structural control component.

[0065] The wind load prediction component includes a data acquisition module 2, and a wind field reconstruction and prediction module 3 electrically connected to the data acquisition module 2 and used to obtain the wind load results of the controlled structure 11 after a period of time, wherein the data acquisition module 2 includes a wind speed sensor group 21 arranged on the top of the surrounding building 12 and arranged along the boundary;

[0066] The structural control component includes a structural response sensor 4 arranged on the controlled structure 11, a controller 5 electrically connected to the structural response sensor 4 and the wind field reconstruction and prediction module 3, and an actuator 6 connected to the controller 5 and used to apply control force and arranged on the controlled structure 11.

[0067] In some specific embodiments, the surrounding buildings 12 form a polygonal boundary around the controlled structure 11, and the vertical windward surface of the polygonal boundary is the area boundary 7. The area boundary 7 is divided into an entrance boundary 71, an outlet boundary 72 and a wall boundary 73 according to the wind direction, wherein the windward surface corresponding to the wind inflow direction of the area boundary 7 is the entrance boundary 71, the windward surface corresponding to the wind outflow direction of the area boundary 7 is the outlet boundary 72, and the remaining edge vertical surfaces of the area boundary 7 except the entrance boundary 71 and the outlet boundary 72 are the wall boundaries 73.

[0068] In some specific embodiments, the wind speed sensor group 21 includes:

[0069] A plurality of first wind speed sensors 211 located on top of the surrounding buildings 12 at the entrance boundary 71 and used to detect the wind speed in the inflow direction;

[0070] a plurality of second wind speed sensors 212 located on top of the peripheral buildings 12 at the outlet boundary 72 and used to detect wind speed in the outflow direction;

[0071] and a plurality of third wind speed sensors 213 located on top of the surrounding buildings 12 at the wall boundary 73 .

[0072] Among them, the area boundary 7 is used as the boundary surface, the wind speed sensor group 21 is located on the boundary surface, and the measured wind speed vector is projected toward the outer normal direction of the boundary surface at this point. A positive projection indicates the wind outflow direction, and a negative projection indicates the wind inflow direction. The projection size is used as the inlet boundary condition. A projection of 0 indicates that the wind speed is perpendicular to the boundary or the wind speed is close to 0, and a third wind speed sensor 213 is set.

[0073] In some specific embodiments, the entrance boundary 71 is divided into a plurality of entrance boundary sub-areas 711 , each entrance boundary sub-area 711 covers a continuous area on the entrance boundary 71 that is closest to a specific first wind speed sensor 211 , and the wind speed data of each entrance boundary sub-area 711 is provided solely by the nearest neighboring first wind speed sensor 211 associated therewith;

[0074] The outlet boundary 72 is divided into a plurality of outlet boundary sub-areas 721 , each of which covers a continuous area on the outlet boundary 72 closest to a specific second wind speed sensor 212 , and the wind speed data of each outlet boundary sub-area 721 is provided solely by the nearest neighboring first wind speed sensor 212 associated therewith;

[0075] The wall boundary 73 is divided into several wall boundary sub-areas 731, each wall boundary sub-area 731 covers a continuous area on the wall boundary 73 that is closest to a specific third wind speed sensor 213, and the wind speed data of each wall boundary sub-area 731 is uniquely provided by the nearest neighbor third wind speed sensor 213 associated with it.

[0076] In some specific embodiments, two first wind speed sensors 211, two second wind speed sensors 212, two third wind speed sensors 213, one first wind speed sensor 211 and one third wind speed sensor 213, or one second wind speed sensor 212 and one third wind speed sensor 213 are provided on the top of each surrounding building 12, and the first wind speed sensor 211, the second wind speed sensor 212 or the third wind speed sensor 213 is provided on the top of the junction of the surrounding building 12 and the adjacent area boundary 7.

[0077] In some specific embodiments, the surrounding buildings 12 are distributed around the controlled structure 11 in the shape of a×b rectangle. When the wind is perpendicular to one side of the rectangle, the number of the first wind speed sensors 211 is 2a-2, the number of the second wind speed sensors 212 is 2a-2, and the number of the third wind speed sensors 213 is 2b-2, where a represents the number of surrounding buildings 12 located at the wind inflow or outflow boundary perpendicular to the wind direction, and b represents the number of surrounding buildings 12 parallel to the wind direction and located at the boundaries on both sides.

[0078] In some specific implementations, the structural response sensor 4 includes a displacement sensor, a velocity sensor, or an acceleration sensor. The structural response is displacement, velocity, acceleration, or a combination of two or more.

[0079] In some specific embodiments, the controller 5 is an LQG controller.

[0080] In some specific embodiments, the actuator 6 comprises a hydraulic jack or a semi-active tuned mass damper. When the actuator 6 is a hydraulic jack, a force is applied to the controlled structure 11 according to the required control force. When the actuator 6 is a semi-active tuned mass damper, optimal damper parameters are calculated based on the corresponding prediction results and adjusted.

[0081] In some specific embodiments, when the actuator 6 is a hydraulic jack, the hydraulic jack is set at a position with greater force in each layer or several layers; when the actuator 6 is a semi-active tuned mass damper, the semi-active tuned mass damper is set at the top of the controlled structure 11.

[0082] In some specific implementations, the structural response sensors 4 are arranged on the floor and roof of each layer of the controlled structure 11 .

[0083] A method for controlling structural wind vibration based on wind speed and response data, which is implemented using the structural wind vibration control system, comprises the following steps:

[0084] S1. Using the area covered by the wind speed sensor group 21 as the fluid calculation area and the wind speed data measured by the wind speed sensor group 21 as the fluid boundary condition, the wind field reconstruction and prediction module 3 calculates the wind load result on the controlled structure 11 after a period of time, converts the wind load result into an electrical signal, and transmits it to the controller 5;

[0085] S2. Using the structural response sensor 4 to detect the structural response index of each layer of the controlled structure 11 in the vertical direction, converting it into an electrical signal, and transmitting it to the controller 5;

[0086] S3. According to the wind load result and the structural response index, the controller 5 controls the actuator 6 to apply a control force to the controlled structure 11, thereby controlling the response of the controlled structure 11 under the action of the wind load.

[0087] In some specific implementations, in step S1, the wind field reconstruction and prediction module 3 calculates the surface pressure of the controlled structure 11 after a period of time through fluid mechanics, and integrates the pressure along the surface of the controlled structure 11 to further calculate the wind load result of the controlled structure 11 after a period of time;

[0088] The period of time is not less than the delay of the structural control component.

[0089] In some specific embodiments, the wind field reconstruction and prediction module divides the area covered by the wind speed sensor group into a grid, and the wind field reconstruction and prediction module 3 divides the area covered by the wind speed sensor group 21 into a grid, and solves the fluid dynamics equations in the area through the finite volume method or the finite element method to obtain the surface pressure of the controlled structure 11.

[0090] In some specific implementations, during the solution process, the wind speed of the inlet boundary sub-area 711 measured by the first wind speed sensor 211 is used as the inlet boundary condition, the outlet boundary sub-area 721 adopts the free boundary condition, and the wall boundary sub-area 731 adopts the wall boundary condition.

[0091] In some specific implementations, in step S3, the time from the current moment to the time after the delay of the structural control component is used as the solution interval, and the structural motion equation is solved by the step-by-step integration method. According to the motion state and wind load of the controlled structure 11 after the delay of the structural control component obtained by calculation, the control force applied by the actuator 6 to the controlled structure 11 is calculated by the control theory in combination with the structural response index.

[0092] The above embodiments may be implemented individually or in any combination of two or more.

[0093] The following describes the details with reference to specific embodiments.

[0094] Example 1

[0095] like Figure 1 As shown, a structural wind vibration control system based on wind speed and response data is used to control the structural wind vibration of a building complex 1. The building complex 1 includes a controlled structure 11 located in the center and surrounding buildings 12 located around the controlled structure 11. The structural wind vibration control system includes a wind load prediction component and a structural control component.

[0096] The wind load prediction component includes a data acquisition module 2, and a wind field reconstruction and prediction module 3 electrically connected to the data acquisition module 2 and used to obtain the wind load results of the controlled structure 11 after a period of time, wherein the data acquisition module 2 includes a wind speed sensor group 21 arranged on the top of the surrounding building 12 and arranged along the boundary;

[0097] The structural control component includes a structural response sensor 4 arranged on the controlled structure 11, a controller 5 electrically connected to the structural response sensor 4 and the wind field reconstruction and prediction module 3, and an actuator 6 connected to the controller 5 and used to apply control force and arranged on the controlled structure 11.

[0098] In this embodiment, if Figure 2 As shown, the building complex 1 consists of 9 buildings arranged in a rectangular array, wherein the building in the middle is the controlled structure 11 , and the remaining 8 buildings are distributed around the controlled structure 11 in a 3×3 rectangular shape, which are peripheral buildings 12 .

[0099] In this embodiment, the surrounding buildings 12 form a rectangular boundary around the controlled structure 11, and the vertical windward surface of the polygonal boundary is the area boundary 7. The area boundary 7 is divided into an entrance boundary 71, an outlet boundary 72 and a wall boundary 73 according to the wind direction, wherein the windward surface corresponding to the wind inflow direction of the area boundary 7 is the entrance boundary 71, the windward surface corresponding to the wind outflow direction of the area boundary 7 is the outlet boundary 72, and the remaining edge vertical surfaces of the area boundary 7 except the entrance boundary 71 and the outlet boundary 72 are the wall boundaries 73.

[0100] In this embodiment, if Figure 3 As shown, the wind speed sensor group 21 includes:

[0101] Four first wind speed sensors 211 arranged perpendicular to the wind direction and located on top of the surrounding buildings 12 at the entrance boundary 71, for detecting the wind speed in the inflow direction;

[0102] Four second wind speed sensors 212 are arranged perpendicular to the wind direction and located on top of the surrounding buildings 12 at the outlet boundary 72, for detecting the wind speed in the outflow direction;

[0103] Eight third wind speed sensors 213 are located parallel to the wind direction and on the tops of the surrounding buildings 12 at the wall boundaries 73 on both sides, with four third wind speed sensors 213 on each side. Two wind speed sensors are installed on each surrounding building 12. The third wind speed sensors 213 detect wind speeds close to zero.

[0104] Among them, the area boundary 7 is used as the boundary surface, the wind speed sensor group 21 is located on the boundary surface, and the measured wind speed vector is projected toward the outer normal direction of the boundary surface at this point. A positive projection indicates the wind outflow direction, and a negative projection indicates the wind inflow direction. The projection size is used as the inlet boundary condition. A projection of 0 indicates that the wind speed is perpendicular to the boundary or the wind speed is close to 0, and a third wind speed sensor 213 is set.

[0105] In this embodiment, if Figure 4 As shown, the entrance boundary 71 is divided into four entrance boundary sub-areas 711, each entrance boundary sub-area 711 covers a continuous area on the entrance boundary 71 that is closest to a specific first wind speed sensor 211, and the wind speed data of each entrance boundary sub-area 711 is provided solely by the nearest neighboring first wind speed sensor 211 associated therewith;

[0106] The outlet boundary 72 is divided into four outlet boundary sub-areas 721 , each of which covers a continuous area on the outlet boundary 72 closest to a specific second wind speed sensor 212 . The wind speed data of each outlet boundary sub-area 721 is provided solely by the nearest neighboring first wind speed sensor 212 associated therewith.

[0107] The wall boundary 73 is divided into 8 wall boundary sub-areas 731, each wall boundary sub-area 731 covers a continuous area on the wall boundary 73 that is closest to a specific third wind speed sensor 213, and the wind speed data of each wall boundary sub-area 731 is uniquely provided by the nearest neighbor third wind speed sensor 213 associated with it.

[0108] In this embodiment, two first wind speed sensors 211, two second wind speed sensors 212, two third wind speed sensors 213, one first wind speed sensor 211 and one third wind speed sensor 213, or one second wind speed sensor 212 and one third wind speed sensor 213 are provided on the top of each surrounding building 12, and the first wind speed sensor 211, the second wind speed sensor 212 or the third wind speed sensor 213 is provided on the top of the junction of the surrounding building 12 and the adjacent area boundary 7.

[0109] In this embodiment, the wind field reconstruction and prediction module 3 adopts conventional technical means in the field, specifically adopts ANSYS Fluent software, and can be run by a computer, such as a PC.

[0110] In this embodiment, the structural response sensor 4 is an acceleration sensor. The structural response uses acceleration as a structural response indicator.

[0111] In this embodiment, the controller 5 is an LQG controller.

[0112] In this embodiment, the actuator 6 is a hydraulic jack that applies a desired control force to the controlled structure 11. The hydraulic jack is installed at locations with greater force on each floor or multiple floors. The structural response sensor 4 is installed on the floor and roof of each floor of the controlled structure 11.

[0113] A method for controlling structural wind vibration based on wind speed and response data, which is implemented using the structural wind vibration control system, comprises the following steps:

[0114] S1. The area covered by the wind speed sensor group 21 is used as the fluid calculation area, and the wind speed data measured by the wind speed sensor group 21 is used as the fluid boundary condition. The wind field reconstruction and prediction module 3 calculates the surface pressure of the controlled structure 11 after a period of time through fluid mechanics, integrates the pressure along the surface of the controlled structure 11, and further calculates the wind load result of the controlled structure 11 after a period of time. The wind load result is converted into an electrical signal and transmitted to the controller 5, wherein the period of time is not less than the delay of the structure control component;

[0115] S2. Using the structural response sensor 4 to detect the structural response index of each layer of the controlled structure 11 in the vertical direction, converting it into an electrical signal, and transmitting it to the controller 5;

[0116] S3. According to the wind load result and the structural response index, the controller 5 controls the actuator 6 to apply a control force to the controlled structure 11, thereby controlling the response of the controlled structure 11 under the action of the wind load.

[0117] In this embodiment, Figure 3 In the figure, the horizontal direction is X direction, and the vertical direction is Y direction. Figure 3 In the working condition in which the wind blows horizontally from left to right through the building complex 1, and the wind speed consists of an average wind component of 10 m / s and a simple harmonic pulsating wind component with an amplitude of 5 m / s and a period of 1 s, the measurement results of the first wind speed sensor 211 are all [10+5sin(2πt)] m / s inflow wind speed, where t is the measurement time. The flow velocity measured by the eight third wind speed sensors 213 is very small and can be regarded as 0. The wind speed measured by the four second wind speed sensors 212 is along the outflow direction.

[0118] On this basis, the rectangular area covered by the wind speed sensor group 21 is used as the fluid calculation area to establish a fluid mechanics model, such as Figure 4As shown. The wind field reconstruction and prediction module 3 divides the area covered by the wind speed sensor group 21 into grids, and the wind field reconstruction and prediction module 3 divides the vertical side connected to each surrounding building 12 into two areas, including four inlet boundaries 71 located at the wind inflow boundary, four outlet boundaries 72 located at the wind outflow boundary, and eight wall boundaries 73 located parallel to the wind direction and located at the boundaries on both sides. Among them, the four inlet boundary sub-areas 711 respectively use the wind speed data of the first wind speed sensor 211 closest to them, the four outlet boundary sub-areas 721 use free boundary conditions, and the eight wall boundary sub-areas 731 use wall boundary conditions. On this basis, grid division is performed, and the fluid dynamics equations are solved by the finite volume method to calculate the pressure p on the surface of the controlled structure 11 at each moment, as shown Figure 5 Then the wind load on each layer of the structure in the vertical direction is calculated by integrating the pressure along the surface A of the controlled structure 11. The time history curve of wind load is obtained:

[0119]

[0120] The total wind load time history curve along the X direction is as follows: Figure 6 As shown in the figure, the total wind load time history curve along the Y direction is as follows Figure 7 The calculation result is then converted into an electrical signal and transmitted to the controller 5.

[0121] In this embodiment, the structural control component uses a hydraulic jack as the actuator 6, acceleration as the structural response index, an acceleration sensor as the structural response sensor 4, and an acceleration sensor to measure the acceleration of each layer of the controlled structure 11. A multi-degree-of-freedom dynamic model is established based on the mass, stiffness and damping of the controlled structure 11, as shown in FIG. Figure 8 As shown. Where m i 、k i is the mass and stiffness of each layer, N is the total number of layers of the controlled structure 11, the damping ratio of the controlled structure 11 is ζ, and the resultant force of the wind load and the control force on each layer is F i Assume that the delay of the structural control component is λ, the time step of the structural dynamic calculation is Δt, the current time step is t, d=λ / Δt, u i,τ 、v i,τ 、a i,τ are the displacement, velocity and acceleration of the structure at the i-th layer and the τ-th time step, respectively, and F i,τ is the load of the structure at the i-th layer and the τ-th time step. Then for the current time step t, according to the prediction results of wind load and control force:

[0122] [F i,t F i,t+i …F i,t+d ].

[0123] The motion state of the structure within the delay λ is solved by the step-by-step integration method, where the displacement u of the structural control component at the initial moment is i,t and speed v i,t It is obtained by integrating the historical measurement results of the acceleration sensor. The motion state of the structure at time t+d is calculated using the Newmark method:

[0124] v i,t+1 =v i,t +[(1-γ)Δt]a i,t +(γΔt)a i,t+1 ;

[0125] u i,t+1 =u i,t +(Δt)v i,t +[(0.5-β)(Δt) 2 ]a i,t +[β(Δt) 2 ]a i,t+1 .

[0126] The LQG control algorithm is used to calculate the required control force based on the predicted system motion state and wind load at time t+d. Assume that the system state vector x=[u1,…,u N ,v1,…,v N ], control force vector f=[f1,…,f N ], then the state space expression is:

[0127]

[0128] The performance index J of the system can be expressed as:

[0129] J=∫[x T Qx+f T Rf]dt.

[0130] The weighting matrix Q is a non-negative symmetric matrix or a positive definite matrix, and the matrix R is a positive definite matrix. By solving the optimal control problem, the optimal control vector f is obtained. * :

[0131] f * =-R -1 B T Px *

[0132] where x * is relative to f * The optimal state trajectory of , P is the solution of the Riccati equation:

[0133] -PA-A T P+PBR-1 B T PQ=0

[0134] Apply a control force f to the controlled structure 11 through the hydraulic jack * , repeat the above process to achieve the control of the wind-induced vibration response of the structure.

[0135] The present invention utilizes a wind speed sensor group 21 to monitor a larger flow field range, and makes a real-time prediction of the wind load on the controlled structure 11. It is able to calculate the control force after considering the system delay, and the data of the wind speed sensor group 21 and the future wind load and motion state of the controlled structure 11 have a relationship between fluid mechanics and structural dynamics, thereby improving the control effect and reducing the overall energy consumption of the control system. The existing technology mainly controls by the dynamic response collected by the sensor. Although it can compensate for the delay through certain strategies, it still cannot fundamentally eliminate the influence of time lag. In the case of large delay or complex structure, the control effect is significantly reduced, and even the response of the structure is increased. The present invention utilizes multi-source data of wind speed and structural response. By combining the two, it can reduce the influence of sensor errors and abnormal data, improve the reliability and robustness of the structural control system, and reduce the control system instability problem caused by high delay.

[0136] Example 2

[0137] like Figure 1 As shown, a structural wind vibration control system based on wind speed and response data is used to control the structural wind vibration of a building complex 1. The building complex 1 includes a controlled structure 11 located in the center and surrounding buildings 12 located around the controlled structure 11. The structural wind vibration control system includes a wind load prediction component and a structural control component.

[0138] The wind load prediction component includes a data acquisition module 2, and a wind field reconstruction and prediction module 3 electrically connected to the data acquisition module 2 and used to obtain the wind load results of the controlled structure 11 after a period of time, wherein the data acquisition module 2 includes a wind speed sensor group 21 arranged on the top of the surrounding building 12 and arranged along the boundary;

[0139] The structural control component includes a structural response sensor 4 arranged on the controlled structure 11, a controller 5 electrically connected to the structural response sensor 4 and the wind field reconstruction and prediction module 3, and an actuator 6 connected to the controller 5 and used to apply control force and arranged on the controlled structure 11.

[0140] In this embodiment, if Figure 9As shown, the building complex 1 includes a central controlled structure 11 and surrounding buildings arranged in a regular octagonal pattern around the controlled structure 11. The surrounding buildings 12 form a regular octagonal boundary around the controlled structure 11. The vertical windward surface of the regular octagonal boundary is the regional boundary 7. The regional boundary 7 is divided into an entrance boundary 71, an exit boundary 72, and a wall boundary 73 according to the wind direction. The windward surface of the regional boundary 7 corresponding to the wind inflow direction is the entrance boundary 71, the windward surface of the regional boundary 7 corresponding to the wind outflow direction is the exit boundary 72, and the vertical edge surfaces of the regional boundary 7 other than the entrance boundary 71 and the exit boundary 72 are the wall boundaries 73.

[0141] In this embodiment, if Figure 10 As shown, the wind speed sensor group 21 includes:

[0142] A plurality of first wind speed sensors 211 located on top of the surrounding buildings 12 at the entrance boundary 71 and used to detect the wind speed in the inflow direction;

[0143] a plurality of second wind speed sensors 212 located on top of the peripheral buildings 12 at the outlet boundary 72 and used to detect wind speed in the outflow direction;

[0144] and a plurality of third wind speed sensors 213 located on top of the surrounding buildings 12 at the wall boundary 73 .

[0145] Among them, the area boundary 7 is used as the boundary surface, the wind speed sensor group 21 is located on the boundary surface, and the measured wind speed vector is projected toward the outer normal direction of the boundary surface at this point. A positive projection indicates the wind outflow direction, and a negative projection indicates the wind inflow direction. The projection size is used as the inlet boundary condition. A projection of 0 indicates that the wind speed is perpendicular to the boundary or the wind speed is close to 0, and a third wind speed sensor 213 is set.

[0146] In this embodiment, if Figure 11 As shown, the entrance boundary 71 is divided into six entrance boundary sub-areas 711, each entrance boundary sub-area 711 covers a continuous area on the entrance boundary 71 that is closest to a specific first wind speed sensor 211, and the wind speed data of each entrance boundary sub-area 711 is provided solely by the nearest neighboring first wind speed sensor 211 associated therewith;

[0147] The outlet boundary 72 is divided into six outlet boundary sub-regions 721 , each outlet boundary sub-region 721 covers a continuous region on the outlet boundary 72 that is closest to a specific second wind speed sensor 212 , and the wind speed data of each outlet boundary sub-region 721 is provided solely by the nearest neighboring first wind speed sensor 212 associated therewith;

[0148] The wall boundary 73 is divided into four wall boundary sub-areas 731, each wall boundary sub-area 731 covers a continuous area on the wall boundary 73 that is closest to a specific third wind speed sensor 213, and the wind speed data of each wall boundary sub-area 731 is uniquely provided by the nearest neighbor third wind speed sensor 213 associated with it.

[0149] In this embodiment, two first wind speed sensors 211, two second wind speed sensors 212, two third wind speed sensors 213, one first wind speed sensor 211 and one third wind speed sensor 213, or one second wind speed sensor 212 and one third wind speed sensor 213 are provided on the top of each surrounding building 12, and the first wind speed sensor 211, the second wind speed sensor 212 or the third wind speed sensor 213 is provided on the top of the junction of the surrounding building 12 and the adjacent area boundary 7.

[0150] In this embodiment, the structural response sensor 4 is a displacement sensor.

[0151] In this embodiment, the controller 5 is an LQG controller.

[0152] In this embodiment, the actuator 6 is a semi-active tuned mass damper. The optimal damper parameters are calculated and adjusted based on the corresponding prediction results. The semi-active tuned mass damper is installed on the top of the controlled structure 11. The structural response sensors 4 are installed on the floor and roof of each floor of the controlled structure 11.

[0153] A method for controlling structural wind vibration based on wind speed and response data, which is implemented using the structural wind vibration control system, comprises the following steps:

[0154] S1. The area covered by the wind speed sensor group 21 is used as the fluid calculation area, and the wind speed data measured by the wind speed sensor group 21 is used as the fluid boundary condition. The wind field reconstruction and prediction module 3 calculates the surface pressure of the controlled structure 11 after a period of time through fluid mechanics, integrates the pressure along the surface of the controlled structure 11, and further calculates the wind load result of the controlled structure 11 after a period of time. The wind load result is converted into an electrical signal and transmitted to the controller 5, wherein the period of time is not less than the delay of the structure control component;

[0155] S2. Using the structural response sensor 4 to detect the structural response index of each layer of the controlled structure 11 in the vertical direction, converting it into an electrical signal, and transmitting it to the controller 5;

[0156] S3. According to the wind load result and the structural response index, the controller 5 controls the actuator 6 to apply a control force to the controlled structure 11, thereby controlling the response of the controlled structure 11 under the action of the wind load.

[0157] In this embodiment, Figure 10 In the figure, the horizontal direction is X direction, and the vertical direction is Y direction. Figure 10 The horizontal direction blows from left to right through the building complex 1, and the wind speed is composed of an average wind component of 10m / s and a simple harmonic pulsating wind component with an amplitude of 5m / s and a period of 1s. The measured wind speed vector is projected toward the outer normal direction of the boundary surface. Figure 10 The measurement results of the two first wind speed sensors 211 located on the vertical sides are all [10+5sin(2πt)]m / s of the inflow wind speed, the measurement results of the four first wind speed sensors 211 located on the oblique sides are all [7.07+3.54sin(2πt)]m / s of the inflow wind speed, the flow velocity measured by the four third wind speed sensors 213 is very small and can be ignored, and the wind speed measured by the eight second wind speed sensors 212 is along the outflow direction.

[0158] On this basis, the area covered by the wind speed sensor group 21 is used as the fluid calculation area to establish a fluid mechanics model, such as Figure 11 As shown. The wind field reconstruction and prediction module 3 divides the vertical side surface connected to each surrounding building 12 into two areas, including a total of 6 inlet boundary sub-areas 711, 6 outlet boundary sub-areas 721, and 4 wall boundary sub-areas 731. Among them, the 6 inlet boundary sub-areas 711 respectively adopt the wind speed data of the first wind speed sensor 211 closest to them, the 6 outlet boundary sub-areas 721 adopt free boundary conditions, and the 4 wall boundary sub-areas 731 adopt wall boundary conditions. On this basis, grid division is performed, and the fluid dynamics equations are solved by the finite volume method. The wind load on each layer of the structure is calculated by integrating the pressure along the surface of the controlled structure 11, and the calculation results are converted into electrical signals and transmitted to the controller 5. The specific process is the same as that of Example 1.

[0159] In this embodiment, the structural control component adopts a semi-active tuned mass damper actuator 6. First, the optimal control force vector f is calculated in the same way as in embodiment 1. * Assume that the mass, stiffness and damping of the tuned mass damper are m s 、c s 、k s , the relative displacement with the main structure is u s , the displacement of the layer connected to the main structure is u p , the control force applied is f s , according to the equation of motion of the tuned mass damper:

[0160]

[0161] Calculate the stiffness k required to apply the optimal control force s , adjust the stiffness of the tuned mass damper to apply the optimal control force, and repeat the above process to achieve the control of the wind-induced vibration response of the structure.

[0162] Although the present invention has been described in detail above using general explanations, specific embodiments, and experiments, it will be apparent to those skilled in the art that modifications and improvements may be made based on the present invention. Therefore, such modifications and improvements, which do not depart from the spirit of the present invention, are intended to be within the scope of protection claimed herein.

Claims

1. A wind-induced vibration control system based on wind speed and response data, which is used to control the wind-induced vibration of a building complex (1), wherein the building complex (1) includes a controlled structure (11) located in the center and surrounding buildings (12) located around the controlled structure (11), characterized in that: The structural wind vibration control system includes a wind load prediction component and a structural control component; The wind load prediction component comprises a data acquisition module (2), and a wind field reconstruction and prediction module (3) electrically connected to the data acquisition module (2) and used to obtain the wind load result of the controlled structure (11) after a period of time, wherein the data acquisition module (2) comprises a wind speed sensor group (21) arranged on the top of the surrounding building (12) and arranged along the boundary; The structural control component comprises a structural response sensor (4) arranged on a controlled structure (11), a controller (5) electrically connected to the structural response sensor (4) and a wind field reconstruction and prediction module (3), and an actuator (6) connected to the controller (5) and used for applying a control force and arranged on the controlled structure (11).

2. A structural wind vibration control system based on wind speed and response data according to claim 1, characterized in that: The surrounding buildings (12) form a polygonal boundary around the controlled structure (11), and the vertical windward surface of the polygonal boundary is the regional boundary (7). According to the wind direction, the regional boundary (7) is divided into an entrance boundary (71), an exit boundary (72) and a wall boundary (73), wherein the windward surface corresponding to the wind inflow direction of the regional boundary (7) is the entrance boundary (71), the windward surface corresponding to the wind outflow direction of the regional boundary (7) is the exit boundary (72), and the remaining edge vertical surfaces of the regional boundary (7) except the entrance boundary (71) and the exit boundary (72) are the wall boundaries (73).

3. The structural wind vibration control system based on wind speed and response data according to claim 2, characterized in that: The wind speed sensor group (21) comprises: A plurality of first wind speed sensors (211) located on top of the surrounding buildings (12) at the entrance boundary (71) and used to detect wind speed in the inflow direction; A plurality of second wind speed sensors (212) located on top of the surrounding buildings (12) at the outlet boundary (72) and used to detect wind speed in the outflow direction; and a plurality of third wind speed sensors (213) located on top of the surrounding buildings (12) at the wall boundary (73).

4. The structural wind vibration control system based on wind speed and response data according to claim 3, characterized in that: The inlet boundary (71) is divided into a plurality of inlet boundary sub-areas (711), each inlet boundary sub-area (711) covers a continuous area on the inlet boundary (71) that is closest to a specific first wind speed sensor (211), and the wind speed data of each inlet boundary sub-area (711) is uniquely provided by the nearest neighboring first wind speed sensor (211) associated therewith; The outlet boundary (72) is divided into a plurality of outlet boundary sub-areas (721), each outlet boundary sub-area (721) covers a continuous area on the outlet boundary (72) that is closest to a specific second wind speed sensor (212), and the wind speed data of each outlet boundary sub-area (721) is uniquely provided by the nearest neighboring first wind speed sensor (212) associated therewith; The wall boundary (73) is divided into a plurality of wall boundary sub-areas (731), each wall boundary sub-area (731) covers a continuous area on the wall boundary (73) that is closest to a specific third wind speed sensor (213), and the wind speed data of each wall boundary sub-area (731) is uniquely provided by the nearest neighbor third wind speed sensor (213) associated with it.

5. The structural wind vibration control system based on wind speed and response data according to claim 3 is characterized in that: Each surrounding building (12) is provided with two first wind speed sensors (211), two second wind speed sensors (212), two third wind speed sensors (213), one first wind speed sensor (211) and one third wind speed sensor (213), or one second wind speed sensor (212) and one third wind speed sensor (213) on the top thereof; the first wind speed sensor (211), the second wind speed sensor (212), or the third wind speed sensor (213) is provided on the top thereof at the junction of the surrounding building (12) and the boundary (7) of the adjacent area.

6. The structural wind vibration control system based on wind speed and response data according to claim 1, characterized in that: The structural response sensor (4) comprises a displacement sensor, a velocity sensor or an acceleration sensor; The controller (5) is an LQG controller; The actuator (6) comprises a hydraulic jack or a semi-active tuned mass damper.

7. A method for controlling structural wind-induced vibration based on wind speed and response data, characterized in that: The method is implemented by adopting the structural wind vibration control system according to any one of claims 1 to 6, and comprises the following steps: S1, using the area covered by the wind speed sensor group (21) as a fluid calculation area, using the wind speed data measured by the wind speed sensor group (21) as a fluid boundary condition, calculating the wind load result on the controlled structure (11) after a period of time through the wind field reconstruction and prediction module (3), converting the wind load result into an electrical signal, and transmitting it to the controller (5); S2, using a structural response sensor (4) to detect the structural response index of each layer of the controlled structure (11) in the vertical direction, converting the index into an electrical signal, and transmitting the signal to the controller (5); S3. Based on the wind load result and the structural response index, the controller (5) controls the actuator (6) to apply a control force to the controlled structure (11), thereby controlling the controlled structure (11) in response to the wind load.

8. The method for controlling structural wind vibration based on wind speed and response data according to claim 7, characterized in that: In step S1, the wind field reconstruction and prediction module (3) calculates the surface pressure of the controlled structure (11) after a period of time by fluid mechanics, and integrates the pressure along the surface of the controlled structure (11) to further calculate the wind load result of the controlled structure (11) after a period of time; The period of time is not less than the delay of the structural control component.

9. The method for controlling structural wind vibration based on wind speed and response data according to claim 8, characterized in that: The wind field reconstruction and prediction module (3) divides the area covered by the wind speed sensor group (21) into grids, solves the fluid dynamics equations in the area by a finite volume method or a finite element method, and obtains the pressure on the surface of the controlled structure (11).

10. The method for controlling structural wind-induced vibration based on wind speed and response data according to claim 7, characterized in that: In step S3, the time from the current moment to the time after the delay of the structural control component is used as the solution interval, and the structural motion equation is solved by the step-by-step integration method. According to the motion state and wind load of the controlled structure (11) after the delay of the structural control component obtained by calculation, the control force applied by the actuator (6) to the controlled structure (11) is calculated by combining the structural response index through control theory.

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