Power supply and distribution and signal switching method for CPCI bus test experiment

Abstract

The invention provides a CPCI bus test experiment power supply and distribution and signal switching method, and relates to the technical field of simulation of unmanned aerial vehicle track power supply and distribution. Power utilization information of a plurality of power utilization devices is obtained, and a plurality of power supply and distribution feedback control models corresponding to the power utilization devices are constructed; each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; generating a power supply and distribution adjustment vector matched with each power supply and distribution feedback control model pair through a feedback control simulator; controlling the CPCI bus test experiment to perform real-time power supply and distribution on the corresponding electric equipment according to the real-time power supply and distribution adjustment parameters; the beneficial effects are that real-time adjustment of power supply of a plurality of electric devices is realized, power supply and distribution of the existing CPCI bus are improved, various different power supply outputs can be provided, and real-time control and adjustment of voltage output can be realized.

Description

Technical Field

[0001] The invention relates to the technical field of power supply and distribution for simulating unmanned aerial vehicle trajectory experiments, and in particular to a CPCI bus test experiment power supply and distribution and signal switching method. Background Art

[0002] Flight trajectory simulation of unmanned aerial vehicles can optimize flight routes and fuel efficiency: by establishing mathematical models and using advanced algorithms, trajectory modeling helps optimize flight routes, improve fuel efficiency, reduce flight time, and ensure flight safety by comprehensively considering factors such as the initial state of the aircraft, flight speed, direction, atmospheric conditions, power system performance, and flight mission requirements.

[0003] It can also optimize path planning and trajectory tracking control: After path planning is completed, the aircraft needs to implement trajectory tracking control according to the planned path. Trajectory tracking control means that the aircraft accurately tracks the planned path in actual flight based on the path planning results. Minimum acceleration trajectory and minimum capture trajectory are commonly used trajectory tracking control strategies to ensure that the dynamic performance of the aircraft is good and minimize the movement of the aircraft under acceleration constraints.

[0004] The flight trajectory simulation of the aircraft whose flight path is guided and controlled by the guidance system, in addition to the above-mentioned significance, can also play a teaching and training role in the interception of unmanned aerial vehicles, thereby improving the interception success rate.

[0005] The flight trajectory simulation of the unmanned aerial vehicle is carried out through sensitive elements and servos. The sensitive elements can realize horizontal and vertical movement under the control of the embedded ARM main control board. The servo equipment control board adopts the embedded ARM control board, realizes 1553B bus communication through the control network 1553B module, and controls the motor through RS485 signals, thereby controlling the rotation of the motion axis and obtaining the angle of the axis.

[0006] In the present invention, the sensitive elements and steering gear for the unmanned aerial vehicle simulation are driven by motors, and since the relationship between the motor output power and the voltage is proportional, this means that when the simulation trajectory changes, the motor output power needs to change.

[0007] When the voltage increases and the current in the circuit remains unchanged, the output power of the motor will also increase. Conversely, when the voltage decreases and the current in the circuit remains unchanged, the output power of the motor will also decrease; therefore, in the simulation of the UAV trajectory experiment, the power supply and distribution of the motor needs to pay attention to the control and adjustment of the voltage at all times. Although the existing CPCI bus power supply and distribution can provide a variety of different power outputs, it cannot achieve real-time control and adjustment of the voltage output. Summary of the invention

[0008] The present application provides a CPCI bus test experiment power supply and signal transfer method, which is used to solve the technical problem that in the prior art, the power supply and distribution of the motor in the simulated unmanned aerial vehicle trajectory experiment needs to pay attention to the control and adjustment of the voltage at all times, and the existing CPCI bus power supply and distribution, although it can provide a variety of different power outputs, cannot achieve real-time control and adjustment of the voltage output.

[0009] In view of the above problems, the present application provides a CPCI bus test experiment power supply and signal switching system.

[0010] A CPCI bus test experiment power supply and distribution and signal transfer method, the method is applied to simulate the power supply and distribution of unmanned aerial vehicle trajectory experiment, the method comprises: Obtain power consumption information of multiple power-consuming devices; Constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; The feedback control data set includes feedback control values ​​of multiple track change points in the simulated trajectory of the unmanned aerial vehicle, and the feedback control values ​​include a first real-time voltage value and a first real-time current value of each drive motor at the time point where the track change point is located, and a second real-time voltage value and a second real-time current value transmitted to each monitoring device by the CPCI bus; Based on BP neural network, a feedback control simulator is constructed, and a power supply and distribution regulation vector matching each power supply and distribution feedback control model pair is generated through the feedback control simulator; Inputting the power supply and distribution feedback control data set into the feedback control simulator to generate the power supply and distribution regulation vector; Obtaining standard feedback control parameters corresponding to each power supply and distribution feedback control model; Using the power supply and distribution regulation vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model, the feedback control parameter setting model is trained to obtain the real-time power supply and distribution regulation parameters of the corresponding equipment; According to the real-time power supply and distribution adjustment parameters, the CPCI bus test experiment is controlled to supply and distribute power to the corresponding power-consuming equipment in real time.

[0011] Preferably, a plurality of power supply and distribution feedback control models corresponding to a plurality of power-consuming devices are constructed, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, further comprising: Constructing multiple sub-power supply and distribution feedback control models corresponding to multiple power-consuming devices, and obtaining feedback control strategies corresponding to the sub-power supply and distribution feedback control models respectively; According to the feedback control strategy corresponding to each sub-power supply and distribution feedback control model, a power supply and distribution feedback control sub-data set corresponding to each sub-power supply and distribution feedback control model is generated; A mapping relationship is established between each power supply and distribution feedback control data set and the corresponding power supply and distribution feedback control sub-data set, and a feedback control simulator is constructed based on the BP neural network according to the mapping relationship.

[0012] Preferably, a plurality of power supply and distribution feedback control models corresponding to a plurality of power-consuming devices are constructed, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, further comprising: Using a feedback control simulator to construct multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, and obtaining feedback control strategies corresponding to each power supply and distribution feedback control model; According to the feedback control strategy corresponding to each power supply and distribution feedback control model, a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model is generated; Preferably, according to the feedback control strategy corresponding to each power supply and distribution feedback control model, generating a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model includes: Executing each power supply and distribution feedback control model according to a feedback control strategy corresponding to each power supply and distribution feedback control model; In the complete feedback control process of each power supply and distribution feedback control model, the feedback control value at each target control time point in the feedback control process of the power application equipment is collected; The feedback control values ​​corresponding to each target control time point in each complete feedback control process are assigned to the power supply and distribution adjustment vector, and the setting model is used for training to obtain the power supply and distribution adjustment parameters corresponding to each target control time point in each complete feedback control process, and use them for training the setting model.

[0013] Preferably, obtaining the standard feedback control parameters corresponding to each power supply and distribution feedback control model includes: Obtaining initial feedback control parameters corresponding to each power supply and distribution feedback control model; Using the tuning model, each initial feedback control parameter is optimized several times to obtain a plurality of optimization parameters corresponding to each power supply and distribution feedback control model; According to the multiple optimization parameters corresponding to each power supply and distribution feedback control model, multiple power supply and distribution feedback control data sets corresponding to each power supply and distribution feedback control model are obtained, and after obtaining and executing the power supply and distribution feedback control data sets, the response time of the unmanned aerial vehicle trajectory experiment is simulated, and the optimization parameter with the shortest response time is used as the standard feedback control parameter.

[0014] The technical solution provided in this application has at least the following technical effects or advantages: The technical solution provided by the present application obtains power consumption information of multiple power-consuming devices involved in a CPCI bus test experiment in a simulated unmanned aerial vehicle trajectory experiment, constructs multiple power supply and distribution feedback control models corresponding to the multiple power-consuming devices, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; generates a power supply and distribution adjustment vector matching each power supply and distribution feedback control model through a feedback control simulator; uses the power supply and distribution adjustment vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model to train the feedback control parameter setting model to obtain the real-time power supply and distribution adjustment parameters of the corresponding device; controls the CPCI bus test experiment to perform real-time power supply and distribution to the corresponding power-consuming devices based on the real-time power supply and distribution adjustment parameters, realizes feedback monitoring of the real-time power consumption of multiple power-consuming devices, and converts these monitoring signals into power supply and distribution control, and realizes real-time adjustment of the power supply to multiple power-consuming devices, so as to meet the need to pay attention to the control and adjustment of the voltage at all times when supplying and distributing the power to the motor in the simulated unmanned aerial vehicle trajectory experiment. Although the existing CPCI bus power supply and distribution can provide a variety of different power outputs, it cannot realize the demand for real-time control and adjustment of the voltage output. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a CPCI bus test experiment power supply and signal transfer method is provided for this application; Figure 2 The present application provides a method for power supply and distribution and signal transfer in a CPCI bus test experiment, in which multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices are constructed, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set flow chart; Figure 3 The present application provides a second flow chart of constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices in a power supply and distribution and signal transfer method for a CPCI bus test experiment, wherein each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; Figure 4 This is a schematic diagram of the power supply and signal conversion structure of the simulated unmanned aerial vehicle trajectory experiment used in the present invention. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0017] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0018] like Figure 4 As shown, it is a schematic diagram of the power supply and signal conversion structure of the simulated unmanned aerial vehicle trajectory experiment used in the present invention: The AC power supply and distribution device and the DC power supply and distribution device are connected to the AC and DC power supplies respectively, and each of them separates 8 power supply signals to realize the power supply and distribution function; the signal output by the 24V power supply through the adjusted potentiometer is then adjusted through the panel voltage adjustment knob to adjust the potentiometer to realize the adjustment and output function of 8 differential signals or 16 single-ended signals; there are 8 voltage adjustment knobs in total, each of which outputs 1 differential signal, and each differential signal can be divided into two single-ended signals; it can simulate 8 differential signal outputs and 16 single-ended signal outputs. The 8 knobs are installed on the panel, and the output voltage can be adjusted by adjusting the knobs; The real-time control parameters of the voltage or current for power supply and signal conversion in the simulated unmanned aerial vehicle trajectory experiment are realized by the control method provided by the present invention.

[0019] Embodiment 1: Figure 1 As shown, a flow chart of a CPCI bus test experiment power supply and signal transfer method is provided. The method described in this embodiment is applied to simulate the power supply and distribution of an unmanned aerial vehicle trajectory experiment. The method includes: Step S100: Acquire power consumption information of multiple power-consuming devices; Specifically, the power consumption information of the power-consuming equipment refers to the voltage or current value required by the power-consuming equipment, and also includes the voltage or current change value corresponding to the change of the UAV trajectory by increasing or decreasing the output power of the motor during the UAV trajectory simulation; Step S200: constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; The feedback control data set includes feedback control values ​​of multiple track change points in the simulated trajectory of the unmanned aerial vehicle, and the feedback control values ​​include a first real-time voltage value and a first real-time current value of each drive motor at the time point where the track change point is located, and a second real-time voltage value and a second real-time current value transmitted to each monitoring device by the CPCI bus; The power supply feedback control model refers to a feedback control mathematical model established through multiple mathematical formulas based on feedback control theory in order to achieve the expected feedback control target under the set UAV trajectory simulation conditions and ensure the UAV trajectory simulation. The UAV trajectory simulation conditions can be understood as the specific execution conditions of the feedback control task. For example, the UAV accelerates, decelerates, changes direction, accelerates or decelerates during the change of direction, and randomly triggers evasive actions, etc. Specifically, it is possible to obtain the voltage or current variable value used for track change of the electrical equipment in each power supply and distribution feedback control model, that is, to change the trajectory of the UAV by increasing or decreasing the output power of the motor to change the corresponding voltage or current change value, and use the corresponding feedback control strategies respectively, and generate a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model according to the feedback control strategy corresponding to each power supply and distribution feedback control model. For example: when simulating the acceleration process of the unmanned aerial vehicle and encountering an obstacle to change direction, it is necessary to provide one motor to provide the acceleration torque, and another one or two motors to provide the acceleration and steering torque. In this way, It is necessary to provide at least two voltage increments at the same time, and it is necessary to calculate the distance to the obstacle, the time for changing direction, and the duration of the changing direction process to ensure that the entire process of changing direction to avoid is completed smoothly. The calculation formulas for the increment size of these voltages, the time point of the voltage increment supply, and the voltage increment supply duration constitute the power supply and distribution feedback control model. Due to the randomness of the unmanned aerial vehicle trajectory simulation, this embodiment emphasizes the protection of this feedback control method, rather than a specific feedback control form for a certain trajectory simulation. When trying this embodiment again, a specific power supply and distribution feedback control model can be made according to the specific trajectory simulation and the feedback control method of this embodiment; The feedback control strategy can be understood as a specific strategy for determining the control amount of the feedback control according to the voltage or current variable value and expected value when the UAV changes its trajectory during the feedback control process at each moment; specifically, the feedback control strategy may include calculating whether the motor output power provided by the current voltage can meet the requirements of changing the trajectory to the expected trajectory during the UAV trajectory simulation, as well as the compensation amount required to achieve the change to the expected trajectory. The calculation of this compensation amount can be achieved by combining proportional control, integral control and differential control.

[0020] Step S300: constructing a feedback control simulator based on the BP neural network, and generating a power supply and distribution adjustment vector matching each power supply and distribution feedback control model pair through the feedback control simulator; Among them, the feedback control simulator is used to distinguishably output the power supply and distribution adjustment vectors of different track change scenarios. The input of the feedback control simulator is the power supply and distribution feedback control data set generated after the power supply and distribution feedback control model is executed, and the output is the power supply and distribution adjustment vector matching each power supply and distribution feedback control model pair.

[0021] Since the ultimate goal of the present invention is to obtain real-time power supply and distribution adjustment parameters through a feedback control parameter setting model, the function of the feedback control parameter setting model is to obtain the standard feedback control parameters of the feedback control system by inputting the power supply and distribution adjustment vector that matches each power supply and distribution feedback control model pair. Therefore, during the training process, the power supply and distribution adjustment vector used is obtained in real time by executing the corresponding feedback control strategy and corrected, that is, real-time compensation is performed on the voltage or current required for track change.

[0022] Step S400: inputting the power supply and distribution feedback control data set into the feedback control simulator to generate the power supply and distribution adjustment vector; Among them, the power supply and distribution feedback control data set should be understood as the power supply and distribution feedback control data set obtained in step S200. Specifically, taking the simulation of the unmanned aerial vehicle encountering an obstacle and changing direction during acceleration as an example, one motor provides an acceleration torque, and the other one or two motors provide an acceleration turning torque. In this way, it is necessary to provide at least two voltage increments at the same time, and it is necessary to calculate the distance to the obstacle, the time for changing direction, and the duration of the changing direction process to ensure that the entire direction avoidance process is completed smoothly. The data set formed by the calculation results of the calculation formulas for the voltage increment size, the voltage increment supply time point and the voltage increment supply duration is the power supply and distribution feedback control data set. After these power supply and distribution feedback control data sets are input into the feedback control simulator, a power supply and distribution adjustment vector corresponding to the feedback control strategy is generated.

[0023] Step S500: obtaining standard feedback control parameters corresponding to each power supply and distribution feedback control model; Preferably, the standard feedback control parameters are standard feedback control parameters of feedback control under trajectory conditions that are the same as or similar to the simulated unmanned aerial vehicle trajectory and are pre-implanted in a database.

[0024] Step S600: using the power supply and distribution adjustment vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model, training the feedback control parameter setting model to obtain the real-time power supply and distribution adjustment parameters of the corresponding device; Specifically, in this embodiment, the power supply and distribution regulation vector is used to match the standard feedback control parameters and multiple rounds of tuning training are performed; Among them, the feedback control parameters used in the feedback control parameter tuning model refer to a set of important parameters in the control system, which are used to describe the dynamic characteristics and performance indicators of the system; these parameters usually include the proportional coefficient Kp, the integral time Ti, the differential time Td, etc. The feedback control parameters include them and can be determined by analyzing and optimizing the input and output signals of the system. Under normal circumstances, the optimization of the tuning model parameters can make the system have better stability and response speed, and improve the control performance of the system. In this embodiment, these feedback control parameters refer to the power supply and distribution adjustment vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model; In this embodiment, the power supply and distribution adjustment vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model are differentiated in time by using the PD controller to obtain the feedback control parameters at each time point in the track change time period, and the feedback control parameters in this time period are adjusted and trained, and the proportional coefficient for adjustment control is assigned to obtain the real-time power supply and distribution adjustment parameters of the corresponding equipment; Step S700: Control the CPCI bus test experiment to supply and distribute power to corresponding electrical equipment in real time according to the real-time power supply and distribution adjustment parameters.

[0025] Embodiment 2: Based on Embodiment 1, preferably, multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices are constructed, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, further comprising: Step S211: constructing a plurality of sub-power supply and distribution feedback control models corresponding to a plurality of electrical devices, and obtaining feedback control strategies corresponding to the sub-power supply and distribution feedback control models respectively; Step S212: generating a power supply and distribution feedback control sub-dataset corresponding to each sub-power supply and distribution feedback control model according to the feedback control strategy corresponding to each sub-power supply and distribution feedback control model; Step S213: Establish a mapping relationship between each power supply and distribution feedback control data set and the corresponding power supply and distribution feedback control sub-data set, and construct a feedback control simulator based on the BP neural network according to the mapping relationship.

[0026] Embodiment three: On the basis of the first embodiment, preferably, a plurality of power supply and distribution feedback control models corresponding to a plurality of electrical devices are constructed, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, further comprising: Step S221: construct multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices using a feedback control simulator, and obtain feedback control strategies corresponding to each power supply and distribution feedback control model; Step S222: generating a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model according to the feedback control strategy corresponding to each power supply and distribution feedback control model; Preferably, according to the feedback control strategy corresponding to each power supply and distribution feedback control model, generating a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model includes: Executing each power supply and distribution feedback control model according to a feedback control strategy corresponding to each power supply and distribution feedback control model; In the complete feedback control process of each power supply and distribution feedback control model, the feedback control value at each target control time point in the feedback control process of the power application equipment is collected; The feedback control values ​​corresponding to each target control time point in each complete feedback control process are assigned to the power supply and distribution adjustment vector, and the setting model is used for training to obtain the power supply and distribution adjustment parameters corresponding to each target control time point in each complete feedback control process, and use them for training the setting model.

[0027] Preferably, obtaining the standard feedback control parameters corresponding to each power supply and distribution feedback control model includes: Obtaining initial feedback control parameters corresponding to each power supply and distribution feedback control model; Using the tuning model, each initial feedback control parameter is optimized several times to obtain a plurality of optimization parameters corresponding to each power supply and distribution feedback control model; According to the multiple optimization parameters corresponding to each power supply and distribution feedback control model, multiple power supply and distribution feedback control data sets corresponding to each power supply and distribution feedback control model are obtained, and after obtaining and executing the power supply and distribution feedback control data sets, the response time of the unmanned aerial vehicle trajectory experiment is simulated, and the optimization parameter with the shortest response time is used as the standard feedback control parameter.

[0028] Preferably, the method further comprises: According to the preset power supply and distribution feedback control parameters, a pre-feedback control operation is performed on each power-consuming device to obtain the initial power supply and distribution parameters of each power-consuming device under the control of the preset power supply and distribution feedback control parameters; generating a power supply and distribution adjustment vector matching the initial power supply and distribution parameters using the feedback control simulator; The power supply and distribution regulation vector is input into a feedback control parameter setting model trained by any of the methods described above, and the feedback control parameters output by the feedback control parameter setting model are used as feedback control parameters of the power-consuming equipment.

[0029] The technical solution provided by the present application obtains power consumption information of multiple power-consuming devices involved in a CPCI bus test experiment in a simulated unmanned aerial vehicle trajectory experiment, constructs multiple power supply and distribution feedback control models corresponding to the multiple power-consuming devices, and each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; generates a power supply and distribution adjustment vector matching each power supply and distribution feedback control model through a feedback control simulator; uses the power supply and distribution adjustment vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model to train the feedback control parameter setting model to obtain the real-time power supply and distribution adjustment parameters of the corresponding device; controls the CPCI bus test experiment to perform real-time power supply and distribution to the corresponding power-consuming devices based on the real-time power supply and distribution adjustment parameters, realizes feedback monitoring of the real-time power consumption of multiple power-consuming devices, and converts these monitoring signals into power supply and distribution control, and realizes real-time adjustment of the power supply to multiple power-consuming devices, so as to meet the need to pay attention to the control and adjustment of the voltage at all times when supplying and distributing the power to the motor in the simulated unmanned aerial vehicle trajectory experiment. Although the existing CPCI bus power supply and distribution can provide a variety of different power outputs, it cannot realize the demand for real-time control and adjustment of the voltage output.

[0030] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A CPCI bus test experiment power supply and signal transfer method, characterized in that: The method is applied to power supply and distribution in a simulated unmanned aerial vehicle trajectory experiment, and the method comprises: Obtain power consumption information of multiple power-consuming devices; Constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set; The feedback control data set includes feedback control values ​​of multiple track change points in the simulated trajectory of the unmanned aerial vehicle, and the feedback control values ​​include a first real-time voltage value and a first real-time current value of each drive motor at the time point where the track change point is located, and a second real-time voltage value and a second real-time current value transmitted to each monitoring device by the CPCI bus; Based on BP neural network, a feedback control simulator is constructed, and a power supply and distribution regulation vector matching each power supply and distribution feedback control model pair is generated through the feedback control simulator; Inputting the power supply and distribution feedback control data set into the feedback control simulator to generate the power supply and distribution regulation vector; Obtaining standard feedback control parameters corresponding to each power supply and distribution feedback control model; Using the power supply and distribution regulation vector and the standard feedback control parameters corresponding to each power supply and distribution feedback control model, the feedback control parameter setting model is trained to obtain the real-time power supply and distribution regulation parameters of the corresponding equipment; According to the real-time power supply and distribution adjustment parameters, the CPCI bus test experiment is controlled to supply and distribute power to the corresponding power-consuming equipment in real time.

2. A CPCI bus test experiment power supply and distribution and signal switching method as claimed in claim 1, characterized in that: Constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, and also including: Constructing multiple sub-power supply and distribution feedback control models corresponding to multiple power-consuming devices, and obtaining feedback control strategies corresponding to the sub-power supply and distribution feedback control models respectively; According to the feedback control strategy corresponding to each sub-power supply and distribution feedback control model, a power supply and distribution feedback control sub-data set corresponding to each sub-power supply and distribution feedback control model is generated; A mapping relationship is established between each power supply and distribution feedback control data set and the corresponding power supply and distribution feedback control sub-data set, and a feedback control simulator is constructed based on the BP neural network according to the mapping relationship.

3. A CPCI bus test experiment power supply and signal switching method as claimed in claim 1, characterized in that: Constructing multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, each power supply and distribution feedback control model generates a corresponding power supply and distribution feedback control data set, and also including: Using a feedback control simulator to construct multiple power supply and distribution feedback control models corresponding to multiple power-consuming devices, and obtaining feedback control strategies corresponding to each power supply and distribution feedback control model; According to the feedback control strategy corresponding to each power supply and distribution feedback control model, a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model is generated.

4. A CPCI bus test experiment power supply and signal transfer method as claimed in claim 3, characterized in that: According to the feedback control strategy corresponding to each power supply and distribution feedback control model, generating a power supply and distribution feedback control data set corresponding to each power supply and distribution feedback control model includes: Executing each power supply and distribution feedback control model according to a feedback control strategy corresponding to each power supply and distribution feedback control model; In the complete feedback control process of each power supply and distribution feedback control model, the feedback control value at each target control time point in the feedback control process of the power application equipment is collected; The feedback control values ​​corresponding to each target control time point in each complete feedback control process are assigned to the power supply and distribution adjustment vector, and the setting model is used for training to obtain the power supply and distribution adjustment parameters corresponding to each target control time point in each complete feedback control process, and use them for training the setting model.

5. A CPCI bus test experiment power supply and signal transfer method as claimed in claim 4, characterized in that: Obtaining standard feedback control parameters corresponding to each power supply and distribution feedback control model includes: Obtaining initial feedback control parameters corresponding to each power supply and distribution feedback control model; Using the tuning model, each initial feedback control parameter is optimized several times to obtain a plurality of optimization parameters corresponding to each power supply and distribution feedback control model; According to the multiple optimization parameters corresponding to each power supply and distribution feedback control model, multiple power supply and distribution feedback control data sets corresponding to each power supply and distribution feedback control model are obtained, and after obtaining and executing the power supply and distribution feedback control data sets, the response time of the unmanned aerial vehicle trajectory experiment is simulated, and the optimization parameter with the shortest response time is used as the standard feedback control parameter.

6. A CPCI bus test experiment power supply and signal transfer method as claimed in claim 5, characterized in that: The method also includes: According to the preset power supply and distribution feedback control parameters, a pre-feedback control operation is performed on each power-consuming device to obtain the initial power supply and distribution parameters of each power-consuming device under the control of the preset power supply and distribution feedback control parameters; generating a power supply and distribution adjustment vector matching the initial power supply and distribution parameters using the feedback control simulator; The power supply and distribution regulation vector is input into a feedback control parameter setting model trained by the method described in any one of claims 1 to 5, and the feedback control parameters output by the feedback control parameter setting model are used as feedback control parameters of the power-consuming equipment.

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