Flexible inclination angle type tracking photovoltaic support

Abstract

The invention relates to the technical field of photovoltaic panel control, and discloses a flexible inclination angle type tracking photovoltaic support which comprises a photovoltaic support body and further comprises an integrated control module, an energy consumption management module and an adjusting and optimizing module, and the integrated control module comprises a first driving set, a second driving set and a control unit. The first driving group is used for controlling a main beam of a photovoltaic module to rotate, the second driving group is used for controlling the photovoltaic module to rotate, the control unit is used for outputting a control strategy, and the adjusting and optimizing module comprises a photovoltaic tracking model used for continuously learning and optimizing control parameters and an optimizing unit used for adjusting the gradient weight of the photovoltaic tracking model. And the energy consumption management module is used for processing energy recovery and energy loss detection, thereby realizing intelligent control of the flexible inclination angle type tracking photovoltaic support.

Description

Technical Field

[0001] The invention relates to the technical field of photovoltaic panel control and discloses a flexible tilt-angle tracking photovoltaic bracket. Background Art

[0002] At present, with the advancement of material science, photovoltaic brackets and photovoltaic control, flexible photovoltaic tracking systems have begun to use lightweight and durable materials, such as carbon fiber, high-strength alloys, etc. These materials not only reduce the weight of the system, but also enhance the durability and wind resistance of the system. Modern photovoltaic tracking systems are usually equipped with high-precision tilt sensors and advanced microprocessors, which can achieve all-weather intelligent tracking and maintain efficient operation even on cloudy or overcast days. However, high-precision tracking requires complex control logic, which not only increases the difficulty of system design, but also may cause the system to malfunction or slow response under certain conditions. The tracking system itself needs to consume a certain amount of energy to drive the motor and other actuators, especially in the case of frequent adjustment of direction. This part of the energy consumption may offset part of the gain.

[0003] For example, the Chinese patent with the existing authorization announcement number CN112925377B discloses a photovoltaic system and a maximum power tracking method thereof, wherein the photovoltaic system includes: a plurality of photovoltaic cells, the photovoltaic cells are used to collect solar energy to generate direct current; a plurality of optimizers, the plurality of optimizers are used to send electrical parameters to a cloud server, the electrical parameters at least include a first output parameter of the photovoltaic cell and a second output parameter of the optimizer; a cloud server, the cloud server is used to receive the electrical parameters, and calculate the characteristic physical quantity used to adjust the output power of the photovoltaic cell according to the electrical parameters, and the cloud server is also used to send the characteristic physical quantity to the optimizer; the optimizer is also used to receive the characteristic physical quantity, and adjust the output power of the photovoltaic cell according to the characteristic physical quantity, so as to achieve the maximum power tracking of the photovoltaic cell. The photovoltaic system and the maximum power tracking method thereof provided by the invention can achieve efficient maximum power tracking of photovoltaic cells, and improve the accuracy and efficiency of calculating the maximum power of photovoltaic cells.

[0004] The system of the above patent is highly dependent on a stable network connection. If the network is unstable or interrupted, the MPPT function may fail. The data transmission from the photovoltaic cell to the cloud server and the process of returning to the optimizer after processing by the cloud server may be delayed, affecting real-time performance. Building and maintaining such a distributed system requires certain infrastructure investment, including servers, network equipment, etc., which is costly for small projects. It mainly discloses the optimization topology diagram and does not involve photovoltaic brackets. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In order to solve the above technical problems, the main purpose of the present invention is to provide a flexible tilt-type tracking photovoltaic bracket, comprising:

[0007] Integrated control module, energy consumption management module, and tuning module;

[0008] The integrated control module includes a first drive group, a second drive group and a control unit, the first drive group is used to control the rotation of the photovoltaic assembly main beam, the second drive group is used to control the rotation of the photovoltaic assembly, and the control unit is used to output a control strategy;

[0009] The tuning module includes a photovoltaic tracking model for continuously learning and optimizing control parameters, and an optimization unit for adjusting the gradient weight of the photovoltaic tracking model;

[0010] The energy consumption management module is used to process energy recovery and energy loss detection.

[0011] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0012] The flexible tilt-angle tracking photovoltaic support also includes a purlin for supporting the photovoltaic assembly, which is used to be vertically fixed to a column on a horizontal mounting surface; a main beam is axially mounted on the column, and the purlin is mounted on the main beam;

[0013] The first drive group is located at the bottom end of the column and is used to drive the main beam of the photovoltaic module to rotate;

[0014] The second driving group is located at the bottom end of the purlin and is used to drive the photovoltaic assembly to rotate.

[0015] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0016] The control unit includes a Boost circuit for regulating the output voltage of the photovoltaic panel and providing a stable power supply, and a dynamic control unit for outputting a tracking control strategy of the photovoltaic module;

[0017] The Boost circuit includes a first inductor L1, a first capacitor C1, a diode D1, a MOSFET and a second capacitor C2;

[0018] One end of the first inductor L1 is connected to the first capacitor C1, and the other end is connected to the diode D1;

[0019] One end of the diode D1 is connected to the second capacitor C2, and the other end of the second capacitor C2 is connected to the MOSFET;

[0020] The other end of the MOSFET is connected to the first inductor L1 and connected to the midpoint of the diode D1.

[0021] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0022] The dynamic control unit determines the maximum power output of the photovoltaic assembly by adjusting the orientation of the photovoltaic assembly and compensating for environmental disturbances;

[0023] The orientation of the photovoltaic module is determined by establishing the dynamic equation of the photovoltaic module. The calculation expression of the dynamic equation of the photovoltaic module is as follows:

[0024]

[0025] in, is the photovoltaic module control value output by the photovoltaic module dynamic equation, are control system parameters, Control proportional gain for PV modules, is the error term, Control integral gain for PV modules, Control the differential gain for the PV module, is the differential of the error term, is the external disturbance, t is the total time of dynamic control;

[0026] The error dynamic equation is input with the disturbance signal and the sun angle as input signals, and the error disturbance is analyzed by Laplace transform. The error dynamic equation calculation expression is as follows:

[0027]

[0028] in, Output error disturbance value for error dynamic equation, is the Laplace symbol, is the frequency domain transform of the sun angle, is the frequency domain transform of the external disturbance.

[0029] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0030] The photovoltaic tracking model is used to adjust the photovoltaic module control, external disturbance compensation and solar angle, and optimizes the dynamic characteristics of the photovoltaic module rotation by learning , , ;

[0031] Based on the rotation position and sun angle of the PV module, the PV module control value is output through the PV module dynamic equation to control the rotation angle of the PV module, and the PV module is calculated in reverse at different sun angles. , , The value of .

[0032] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0033] Photovoltaic module control quantity under different sun angles , , The value of is used as a label, the basic data is divided into a training set and a validation set, the training set is input into the initial neural network, the neural network is trained, and the loss function of the trained neural network is calculated through the validation set;

[0034] Controlled by photovoltaic modules , , Input the trained neural network and output the trained neural network , , Adjust and complete the , , Control the angle of photovoltaic modules.

[0035] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0036] The trained neural network expression is as follows:

[0037] ;

[0038] in is a trained neural network used to output , , , is the neural network weight matrix, is the neural network excitation function matrix, x is the input photovoltaic module angle control signal, and b is the bias value.

[0039] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0040] The optimization unit updates the weights through the neural network weights to compensate , , The error value of the adjustment constant;

[0041] The neural network weight update adopts the following expression:

[0042]

[0043] in, is the updated neural network weight, is a full rank symmetric matrix, take the unit matrix, is a small positive constant chosen, for , , Adjust the compensation value of the constant error value, is the unupdated neural network weight;

[0044] Small positive constants have values ​​between 0 and 1.

[0045] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0046] The energy consumption management module includes a data acquisition unit, an energy conversion unit, an energy storage unit, an energy consumption control unit and a communication unit;

[0047] The data acquisition unit is used to monitor the photovoltaic panel output, energy storage device status and load consumption in real time;

[0048] The energy storage unit includes a battery management system and an energy storage device, wherein the battery management system is used to monitor the state of the battery pack and optimize the charging and discharging process, and the energy storage device is used to store energy;

[0049] The energy conversion unit includes an inverter and a DC / DC converter, wherein the inverter is used to convert the direct current generated by the photovoltaic panel into alternating current to supply the AC load, and the DC / DC converter is used to adjust the output voltage of the photovoltaic panel to match the requirements of the energy storage device.

[0050] As a preferred solution of the flexible tilt tracking photovoltaic bracket of the present invention, wherein:

[0051] The energy consumption control unit includes a DSP controller, an intelligent scheduling algorithm and fault detection;

[0052] The DSP controller is used to process data and control the photovoltaic module angle algorithm;

[0053] The intelligent scheduling algorithm includes a control machine learning algorithm for energy scheduling and predictive charging;

[0054] The fault detection is used to detect and handle system anomalies.

[0055] Beneficial effects of the present invention:

[0056] The present invention uses high-precision control strategy output to accurately control the photovoltaic components to track the sun's angle to achieve optimal power output, and uses neural network to intelligently adjust control constants, thereby realizing system automation and intelligence and getting rid of the burden of networking. The present invention also adjusts the calculation method through a streamlined algorithm to reduce system load energy consumption, and integrates energy consumption management to further detect system energy output and input. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0058] Figure 1 This is a system composition diagram of the flexible tilt tracking photovoltaic bracket of the present invention;

[0059] Figure 2 This is a neural network control flow chart of the flexible tilt tracking photovoltaic support of the present invention;

[0060] Figure 3 This is a schematic diagram of the Boost circuit of the flexible tilt tracking photovoltaic support of the present invention;

[0061] Figure 4 This is a schematic diagram of a flexible tilt-angle tracking photovoltaic support device of the present invention;

[0062] Figure 5 This is a schematic diagram of the DSP controller circuit of the flexible tilt tracking photovoltaic bracket of the present invention.

[0063] Figure numerals: 1, column; 2, first drive group; 3, second drive group; 4, purlin; 5, main beam, 6, purlin adjustment device. DETAILED DESCRIPTION

[0064] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0065] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0066] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0067] Embodiment 1

[0068] like Figure 3 As shown, the flexible tilt-angle tracking photovoltaic bracket includes:

[0069] The purlin 4 for supporting the photovoltaic module is used to be vertically fixed to the column 1 on the horizontal mounting surface; the main beam 5 is axially mounted on the column 1, and the purlin 4 is mounted on the main beam 5;

[0070] The first driving group 2 is located at the bottom end of the column 1 and is used to drive the photovoltaic module main beam 5 to rotate;

[0071] The second driving group 3 is located at the bottom end of the purlin 4 and is used to drive the photovoltaic assembly to rotate.

[0072] like Figure 1 The system composition diagram of the flexible tilt-angle tracking photovoltaic bracket shown in the figure, the flexible tilt-angle tracking photovoltaic bracket also includes an integrated control module, an energy consumption management module, and an optimization module.

[0073] The integrated control module includes a first drive group 2, a second drive group 3 and a control unit, wherein the first drive group 2 is used to control the rotation of the photovoltaic assembly main beam 5, the second drive group 3 is used to control the rotation of the photovoltaic assembly, and the control unit is used to output a control strategy;

[0074] The purlin adjustment device 6 is used to control the rotational movement of the purlin 4;

[0075] Among them, the control unit includes a Boost circuit for adjusting the output voltage of the photovoltaic panel and providing a stable power supply, and a dynamic control unit for output tracking the control strategy of the photovoltaic module;

[0076] The Boost circuit includes a first inductor L1, a first capacitor C1, a diode D1, a MOSFET and a second capacitor C2;

[0077] One end of the first inductor L1 is connected to the first capacitor C1, and the other end is connected to the diode D1;

[0078] One end of the diode D1 is connected to the second capacitor C2, and the other end of the second capacitor C2 is connected to the MOSFET;

[0079] The other end of the MOSFET is connected to the first inductor L1 and the midpoint of the diode D1 .

[0080] The dynamic control unit determines the maximum power output of the photovoltaic module by adjusting the orientation of the photovoltaic module and compensating for environmental disturbances;

[0081] The orientation of the photovoltaic module is determined by establishing the dynamic equation of the photovoltaic module. The calculation expression of the dynamic equation of the photovoltaic module is as follows:

[0082]

[0083] in, is the photovoltaic module control value output by the photovoltaic module dynamic equation, are control system parameters, Control proportional gain for PV modules, is the error term, Control integral gain for PV modules, Control the differential gain for the PV module, is the differential of the error term, is the external disturbance, t is the total time of dynamic control;

[0084] Reflects the impact of the current error value on the control output. A larger proportional gain can help the system respond to errors faster, but it may also cause oscillation;

[0085] The integral term accumulates past errors and helps eliminate static errors (i.e., steady-state errors). Proper integral action can improve the accuracy of the system, but it may also increase the response time;

[0086] It is a differential term that takes into account the rate of change of the error, helps predict future error trends, and provides immediate correction. It can reduce overshoot and oscillation;

[0087] The error dynamic equation is input with the disturbance signal and the sun angle as input signals, and the error disturbance is analyzed by Laplace transform. The error dynamic equation calculation expression is as follows:

[0088]

[0089] in, Output error disturbance value for error dynamic equation, is the Laplace symbol, is the frequency domain transform of the sun angle, is the frequency domain transform of external disturbance;

[0090] The tuning module includes a photovoltaic tracking model for continuously learning and optimizing control parameters, and an optimization unit for adjusting the gradient weight of the photovoltaic tracking model;

[0091] The energy consumption management module is used to handle energy recovery and energy loss detection;

[0092] The energy consumption management module includes a data acquisition unit, an energy conversion unit, an energy storage unit, an energy consumption control unit and a communication unit;

[0093] The data acquisition unit is used to monitor the photovoltaic panel output, energy storage device status and load consumption in real time;

[0094] The energy storage unit includes a battery management system and an energy storage device, wherein the battery management system is used to monitor the state of the battery pack and optimize the charging and discharging process, and the energy storage device is used to store energy;

[0095] The energy conversion unit includes an inverter and a DC / DC converter, wherein the inverter is used to convert the direct current generated by the photovoltaic panel into alternating current to supply the AC load, and the DC / DC converter is used to adjust the output voltage of the photovoltaic panel to match the requirements of the energy storage device;

[0096] The communication unit is used to realize remote data transmission.

[0097] like Figure 5 As shown, the circuit schematic diagram of the flexible tilt tracking photovoltaic bracket DSP controller includes:

[0098] The energy consumption control unit includes a DSP controller, intelligent scheduling algorithm and fault detection;

[0099] The DSP controller includes A / D conversion and PWM generator for processing data and controlling the angle of PV modules.

[0100] Intelligent scheduling algorithms include control machine learning algorithms for energy scheduling and predictive charging.

[0101] Fault detection is used to detect and handle system anomalies.

[0102] The flexible tilt tracking photovoltaic bracket also includes a redundant module and an abnormality detection module. The redundant module adopts a redundant design on key components to avoid single point failure causing failure of the entire system.

[0103] The anomaly detection module establishes an anomaly detection mechanism. When the system detects an abnormal situation, it can automatically switch to safe mode or alarm.

[0104] Example 2 Figure 2 As shown, the neural network control flow chart of the flexible tilt tracking photovoltaic bracket includes:

[0105] S1. Control quantity of photovoltaic modules under different sun angles , , The value of is used as the label to divide the data into training set and validation set;

[0106] S2, input the training set into the initial neural network, train the neural network, calculate the trained neural network, and calculate the loss function of the trained neural network through the validation set;

[0107] S3, photovoltaic module control quantity , , Input the trained neural network;

[0108] S4. Output through the trained neural network , , Adjust and complete the , , Control the angle of photovoltaic modules;

[0109] , , for Figure 2 proportional, integral, and differential constants in ;

[0110] The photovoltaic tracking model is used to adjust the photovoltaic module control, external disturbance compensation and solar angle, and optimizes the dynamic characteristics of the photovoltaic module rotation by learning , , ;

[0111] Based on the rotation position and sun angle of the PV module, the PV module control value is output through the PV module dynamic equation to control the rotation angle of the PV module, and the PV module is calculated in reverse at different sun angles. , , The value of .

[0112] Photovoltaic module control quantity under different sun angles , , The value of is used as a label, and the data is divided into a training set and a validation set. The training set is input into the initial neural network, the neural network is trained, the trained neural network is calculated, and the loss function of the trained neural network is calculated through the validation set;

[0113] Controlled by photovoltaic modules , , Input the trained neural network and output it through the trained neural network , , Adjust and complete the , , Control the angle of photovoltaic modules.

[0114] The trained neural network expression is as follows:

[0115] ;

[0116] in is a trained neural network used to output , , , is the neural network weight matrix, is the neural network excitation function matrix, x is the input photovoltaic module angle control signal, and b is the bias value.

[0117] The optimization unit updates the weights through the neural network weights to compensate , , The error value of the adjustment constant;

[0118] The neural network weight update uses the following expression:

[0119]

[0120] in, is the updated neural network weight, is a full rank symmetric matrix, take the unit matrix, is a small positive constant chosen, for , , Adjust the compensation value of the constant error value, is the unupdated neural network weight;

[0121] Small positive constants have values ​​between 0 and 1.

[0122] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiment. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0123] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).

[0124] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. Flexible tilt tracking photovoltaic bracket, characterized in that: include: Integrated control module, energy consumption management module, and tuning module; The integrated control module comprises a first drive group (2), a second drive group (3) and a control unit, the first drive group (2) being used to control the rotation of a photovoltaic assembly main beam (5), the second drive group (3) being used to control the rotation of the photovoltaic assembly, and the control unit being used to output a control strategy; The tuning module includes a photovoltaic tracking model for continuously learning and optimizing control parameters, and an optimization unit for adjusting the gradient weight of the photovoltaic tracking model; The energy consumption management module is used to process energy recovery and energy loss detection.

2. The flexible tilt tracking photovoltaic bracket according to claim 1 is characterized in that: The flexible tilt-angle tracking photovoltaic support further comprises a purlin (4) for supporting the photovoltaic assembly, which is used to be vertically fixed to a column (1) on a horizontal mounting surface; a main beam (5) is axially mounted on the column (1), and the purlin (4) is mounted on the main beam (5); The first drive group (2) is located at the bottom end of the column (1) and is used to drive the photovoltaic module main beam (5) to rotate; The second drive group (3) is located at the bottom end of the purlin (4) and is used to drive the photovoltaic assembly to rotate.

3. The flexible tilt tracking photovoltaic bracket according to claim 2 is characterized in that: The control unit includes a Boost circuit for regulating the output voltage of the photovoltaic panel and providing a stable power supply, and a dynamic control unit for outputting a tracking control strategy of the photovoltaic module; The Boost circuit includes a first inductor L1, a first capacitor C1, a diode D1, a MOSFET and a second capacitor C2; One end of the first inductor L1 is connected to the first capacitor C1, and the other end is connected to the diode D1; One end of the diode D1 is connected to the second capacitor C2, and the other end of the second capacitor C2 is connected to the MOSFET; The other end of the MOSFET is connected to the first inductor L1 and connected to the midpoint of the diode D1.

4. The flexible tilt tracking photovoltaic bracket according to claim 3 is characterized in that: The dynamic control unit determines the maximum power output of the photovoltaic assembly by adjusting the orientation of the photovoltaic assembly and compensating for environmental disturbances; The orientation of the photovoltaic module is determined by establishing the dynamic equation of the photovoltaic module. The calculation expression of the dynamic equation of the photovoltaic module is as follows: ； in, is the photovoltaic module control value output by the photovoltaic module dynamic equation, are control system parameters, Control proportional gain for PV modules, is the error term, Control integral gain for PV modules, Control the differential gain for the PV module, is the differential of the error term, is the external disturbance, t is the total time of dynamic control; The error dynamic equation is input with the disturbance signal and the sun angle as input signals, and the error disturbance is analyzed by Laplace transform. The error dynamic equation calculation expression is as follows: ； in, Output error disturbance value for error dynamic equation, is the Laplace symbol, is the frequency domain transform of the sun angle, is the frequency domain transform of the external disturbance.

5. The flexible tilt tracking photovoltaic bracket according to claim 4 is characterized in that: The photovoltaic tracking model is used to adjust the photovoltaic module control, external disturbance compensation and solar angle, and optimizes the dynamic characteristics of the photovoltaic module rotation by learning , , ; Based on the rotation position and sun angle of the PV module, the PV module control value is output through the PV module dynamic equation to control the rotation angle of the PV module, and the PV module is calculated in reverse at different sun angles. , , The value of .

6. The flexible tilt tracking photovoltaic bracket according to claim 5, characterized in that: Photovoltaic module control quantity under different sun angles , , The value of is used as a label, the data base is divided into a training set and a validation set, the training set is input into the initial neural network, the neural network is trained, and the loss function of the trained neural network is calculated through the validation set; Controlled by photovoltaic modules , , Input the trained neural network and output the trained neural network , , Adjust and complete the , , Control the angle of photovoltaic modules.

7. The flexible tilt tracking photovoltaic bracket according to claim 6, characterized in that: The trained neural network expression is as follows: ； in is a trained neural network used to output , , , is the neural network weight matrix, is the neural network excitation function matrix, x is the input photovoltaic module angle control signal, and b is the bias value.

8. The flexible tilt tracking photovoltaic bracket according to claim 7, characterized in that: The optimization unit updates the weights through the neural network weights to compensate , , The error value of the adjustment constant; The neural network weight update adopts the following expression: ； in, is the updated neural network weight, is a full rank symmetric matrix, take the unit matrix, is a small positive constant chosen, for , , Adjust the compensation value of the constant error value, is the unupdated neural network weight; Small positive constants have values ​​between 0 and 1.

9. The flexible tilt tracking photovoltaic bracket according to claim 8, characterized in that: The energy consumption management module includes a data acquisition unit, an energy conversion unit, an energy storage unit, an energy consumption control unit and a communication unit; The data acquisition unit is used to monitor the photovoltaic panel output, energy storage device status and load consumption in real time; The energy storage unit includes a battery management system and an energy storage device, wherein the battery management system is used to monitor the state of the battery pack and optimize the charging and discharging process, and the energy storage device is used to store energy; The energy conversion unit includes an inverter and a DC / DC converter, wherein the inverter is used to convert the direct current generated by the photovoltaic panel into alternating current to supply the AC load, and the DC / DC converter is used to adjust the output voltage of the photovoltaic panel to match the requirements of the energy storage device.

10. The flexible tilt tracking photovoltaic bracket according to claim 9, characterized in that: The energy consumption control unit includes a DSP controller, an intelligent scheduling algorithm and fault detection; The DSP controller is used to process data and control the photovoltaic module angle algorithm; The intelligent scheduling algorithm includes a control machine learning algorithm for energy scheduling and predictive charging; The fault detection is used to detect and handle system anomalies.

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