Photoelectric pod temperature control system based on SOC and use method thereof

By using the BP neural network and PID control algorithm on the ZYNQ SOC platform in the photoelectric pod, combined with the temperature detection and adjustment module, the problem of low temperature control accuracy in the photoelectric pod is solved, and rapid and stable temperature adjustment is achieved, improving the control accuracy and response speed.

CN119960518AInactive Publication Date: 2025-05-09CENT CHINA OPTOELECTRONICS TECH RES INST (CHINA STATE SHIPBUILDING CORP 717TH RES INST)
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Patent Information

Application Number
CN202411958477.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-05-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The temperature field in the photoelectric pod is greatly affected by the use scenarios, resulting in low temperature control accuracy and rough control methods, and insufficient stability and universality.

Method used

The BP neural network and PID control algorithm based on the ZYNQ SOC hardware processing platform are adopted, combined with the temperature detection module, the driving circuit module and the temperature adjustment module to achieve accurate control of the temperature of the photoelectric pod.

Benefits of technology

Through the combination of BP neural network and PID control algorithm, any nonlinear temperature field system can be effectively described, rapid and stable temperature regulation can be achieved, the accuracy and response speed of temperature control can be improved, and the sensors and circuit boards in the photoelectric pod can operate within a reasonable temperature range.

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Abstract

According to the photoelectric pod temperature control system based on the SOC and the use method of the photoelectric pod temperature control system, a temperature control hardware circuit architecture adopts a modular design and is mainly divided into an SOC main control unit, a driving circuit module, a temperature detection module, a power supply module, a serial port communication module and the like, the hierarchy is clear, the expansibility is high, the flexibility is good, and the cost is low. The circuit board is small in size and easy to install.
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Description

Technical Field

[0001] The invention relates to the field of photoelectric pod temperature control systems, in particular to a SOC-based photoelectric pod temperature control system and a use method thereof. Background Art

[0002] Airborne optoelectronic pods play an increasingly important role in aerial reconnaissance, drone search, helicopter tracking, etc., with advantages such as large-scale reconnaissance, good flexibility, and strong maneuverability. With the development of emerging optoelectronic technologies and the improvement of performance requirements, there are more and more types of sensors such as cameras, infrared, television, angle measurement modules, gyroscope modules, etc. in optoelectronic pods, and the complexity and integration of various types of circuit boards in the pods are getting higher and higher, and the temperature field environment in the pods is becoming more and more complex.

[0003] The temperature environment in the pod not only affects the performance of the optical sensor, but also has a significant impact on various circuit board components. Therefore, it is very important to ensure that the sensor and circuit board work stably and reliably within the allowable temperature range. To ensure the normal operation of various components, the control requirements for the temperature field are getting higher and higher, especially for some important performance indicators such as the accuracy, reliability, response time, and stability of temperature control. There are standardized requirements.

[0004] At present, the temperature field in the optoelectronic pod is greatly affected by factors such as the usage scenario, which puts high demands on temperature control. The current control and adjustment of the temperature field in the optoelectronic pod generally has the problems of low temperature control accuracy and rough control methods, and there are deficiencies in the stability and versatility of the temperature control system. In order to obtain better temperature control effects, it is necessary to optimize and improve the traditional control methods. Based on the ZYNQ SOC hardware processing platform, a temperature control algorithm combining BP neural network and PID is proposed and applied to the optoelectronic pod temperature control system, and its feasibility is verified through experiments. By accurately controlling the temperature field in the pod, the imaging quality of each sensor can be effectively guaranteed. Therefore, the temperature control algorithm is of great significance to the performance of the optoelectronic pod. Summary of the invention

[0005] A photoelectric pod temperature control system based on SOC includes a PC host, a real-time control unit and an execution unit, wherein the PC host includes a host computer display module; the host computer display module is used to provide a human-computer interaction interface and display the temperature in the photoelectric pod in real time.

[0006] The real-time control unit includes a SOC main control unit and a power module; the temperature data value is exchanged with the host computer display module through the serial communication module; the power module is responsible for supplying power to the SOC main control unit.

[0007] The execution unit includes a temperature detection module, a driving circuit module, and a temperature adjustment module.

[0008] The temperature detection module is used to monitor the temperature and feed back to the SOC main control unit.

[0009] The driving circuit module is used to receive the IO control instructions of the SOC main control unit.

[0010] The temperature regulating module is provided with a plurality of temperature regulating devices, and the temperature of the photoelectric pod is controlled by controlling the temperature regulating devices.

[0011] The SOC main control unit is used to receive, process and forward data from various temperature sensors in the photoelectric pod.

[0012] The SOC main control unit is provided with a power conversion chip, and the power conversion chip is used to convert the power supply of the power module into different level standards.

[0013] The temperature detection module supports the connection of a two-wire RTD resistance sensor and transmits the ratio of the RTD resistance and the reference resistance to the ADC interface of the main control unit.

[0014] The driving circuit module adopts a solid-state relay switch, and controls the on and off of the switch circuit based on the IO control signal of the SOC main control unit to realize the control of the silicone heating film, the fan, and the cooling sheet.

[0015] The temperature regulating device of the temperature regulating module includes a heating film, an electric fan and a cooling plate.

[0016] The serial communication module receives the temperature setting value from the host computer display module, and feeds back the real-time temperature data to the host computer display module.

[0017] The SOC main control unit adopts BP neural network and PID control algorithm to obtain IO control instructions based on the temperature setting value.

[0018] A method for using a photoelectric pod temperature control system based on SOC, characterized in that:

[0019] The PC host issues the temperature setting value through the upper computer display module and sends it to the SOC main control unit through the serial communication module;

[0020] The SOC main control unit adopts BP neural network and PID control algorithm to obtain IO control instructions and realizes control of the temperature adjustment module through the driving circuit module;

[0021] The temperature detection module collects the temperature data in the photoelectric pod in real time, feeds it back to the upper computer display module, and displays the temperature change curve; at the same time, the temperature data is fed back to the SOC main control unit to update the IO control instructions until the temperature setting value is reached.

[0022] The temperature setting value includes two situations: increasing and decreasing.

[0023] The present invention provides a photoelectric pod temperature control system based on SOC, which has the following effects. The temperature control hardware circuit architecture adopts a modular design, which is mainly divided into a SOC main control unit, a drive circuit module, a temperature detection module, a power module, a serial communication module, etc., with clear layers, strong scalability, good flexibility, and a small circuit board size for easy installation.

[0024] The present invention is based on the ZYNQ chip temperature control system main control unit, the PS end integrates two Cortex A9 ARM core processors, the PL end integrates rich peripheral resource interfaces, and has powerful computing and processing capabilities, which can fully meet the computing power requirements of the temperature control system algorithm deployment.

[0025] The temperature control system of the present invention adopts an algorithm combining BP neural network and PID, which can effectively make up for the problem that traditional PID algorithm has difficulty in responding to time-delay inertial systems. The algorithm can describe any nonlinear temperature field system, continuously and dynamically learn adaptively, and respond to temperature regulation in a timely manner.

[0026] The present invention ensures that each optical sensor and each type of circuit board in the optoelectronic pod are in a constant temperature field range, thereby preventing temperature changes from causing lens deformation and affecting the overall optoelectronic image output. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is the overall framework diagram of the photoelectric pod temperature control system based on SOC;

[0028] Figure 2 This is the hardware composition framework diagram of the photoelectric pod temperature control system based on SOC;

[0029] Figure 3 It is a flow chart of the method of using the photoelectric pod temperature control system based on SOC;

[0030] Figure 4 Detailed flow chart of the control method of the embodiment of the present invention;

[0031] Figure 5 Comparison chart between the control effect of the present invention and the PID control effect. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] A photoelectric pod temperature control system based on SOC. Its overall software architecture is as follows Figure 1 As shown, including:

[0034] The PC host is used to provide a human-computer interaction control interface, displaying the real-time temperature monitored in the optoelectronic pod and an intuitive temperature change curve.

[0035] The real-time control unit based on the SOC main chip interacts with the PC host to collect, calculate, process and transmit the temperature data in the optoelectronic pod in real time, acting as a bridge between the PC host and the execution unit.

[0036] The execution unit completes temperature collection and temperature feedback inside the photoelectric pod, receives drive control instructions transmitted by the real-time control unit, and completes corresponding action control.

[0037] The system hardware composition framework is shown in the figure Figure 2 As shown, it includes a SOC main control unit, a power module, a temperature detection module, a drive circuit module, a temperature adjustment module, a serial communication module, and a host computer display module.

[0038] The SOC main control unit is the core of the temperature control system, providing a wealth of peripheral interfaces, powerful computing resources, and large-capacity storage memory space. It is mainly used to receive, process, and forward temperature data from sensors in the optoelectronic pod, and to deploy BP neural networks and PID control algorithms.

[0039] The power module supplies power to the SOC main control unit. The SOC main control unit has a power conversion chip that can convert into different electrical level standards to meet the electrical level requirements of different interface chips on the circuit board.

[0040] The drive circuit module is a solid-state relay switch, which receives the IO control signal from the SOC main control unit, controls the on and off of the switch circuit, and further controls the operation of the silicone heating film, fan, and cooling sheet.

[0041] The temperature detection module serves as a conversion module for temperature data acquisition. It supports the connection of a two-wire RTD resistance sensor and transmits the ratio of the RTD resistance and the reference resistance to the ADC interface of the main control unit for algorithm input control of the main control unit.

[0042] The temperature regulation module includes components such as a heating film, an electric fan, and a cooling plate. According to the control signal of the SOC main control unit, it controls the heating of the heating film, the operation of the electric fan and the cooling plate to cool down, thereby maintaining the overall temperature field in the pod within a constant temperature range.

[0043] The serial communication module exchanges temperature data values ​​with the upper computer display module. The serial communication module receives the set value from the PC host and feeds back the real-time temperature value to the PC host.

[0044] The technical solution of the present invention is described in detail below through a specific embodiment.

[0045] Based on the SOC optoelectronic pod temperature control system, the hardware circuit main control unit uses the ZYNQ7000 main chip, which integrates two Cortex A9 ARM core processing units and rich CLB resources, provides rich peripheral interfaces and powerful computing power, and can meet the hardware resources required for software neural network algorithm deployment, temperature data transmission, and control instruction issuance. The software algorithm adopts a control algorithm that combines BP neural network with PID, which can effectively solve the problem of difficult closed-loop optimization control in traditional PID control. For the temperature field adjustment scenario of complex nonlinear systems, the neural network can respond to system changes in a timely manner and make adaptive measures. The learning process converges quickly, the error gradient changes rapidly, the robustness and anti-interference ability are relatively strong, the overshoot is small, and the accuracy is high, so that the temperature field environment in the optoelectronic pod can be quickly and stably adjusted, so that various optical sensors and circuit boards can operate within a certain reasonable temperature range, forming a scientific and stable temperature field, ensuring the quality of post-stage imaging, and improving the service life of optical sensors. It can be widely used in various optoelectronic pod equipment of different military services.

[0046] In the SOC main control unit, the SOC main chip is the core part of the hardware control circuit, which is divided into two parts: the PS end and the PL end. The PS end is equipped with two 256M DDR3 chips with a data bit width of 16 bits, and the PL end is equipped with two 512M DDR3 chips with a data bit width of 16 bits. Both can be used to cache various intermediate values, temperature data values, control instructions, etc. generated in the algorithm calculation. The PS end is equipped with a 33.33MHz single-ended crystal oscillator, and the PL end is equipped with a 27MHz single-ended crystal oscillator. The crystal oscillator frequency required by the circuit can be generated through the PLL phase-locked loop. The serial port uses the ADM2682 isolation serial port chip, which is connected to the PL end to communicate with the host PC to exchange temperature data and instruction information; the temperature measuring platinum resistance adopts a two-wire connection method, and the MAX31865 chip is selected as the temperature data acquisition and conversion module, which is connected to the ADC sampling pin of the PS end; the IO driver chip uses the SM8T245, which is connected to the PL end to convert the 3.3V control signal into a 5VTTL level to control the switching action of the external relay, and then control the work of the heating film, electric fan, and cooling plate.

[0047] The FLASH storage circuit of the SOC main control unit uses the EFM25Q256 chip with a storage capacity of 256M, and is connected to the SOC main chip through an SPI serial interface. The FLASH stores the configuration files and solidified program files required for SOC startup, and can also store temperature data within a certain period of time.

[0048] The PC host and the SOC main control unit are connected through a serial communication module, specifically through a serial port to USB interface, to exchange temperature data and control instructions. The PC host sends a set temperature value to the SOC main control unit. After the SOC main control unit compares the set temperature value with the actual temperature value collected, it responds and processes in time through the deployed BP neural network and PID control algorithm to control the temperature value in the optoelectronic pod within a range close to the set value, and uploads the actual temperature data in real time through the serial communication module for display on the PC host.

[0049] The temperature acquisition chip of the temperature detection module uses the MAX31865 conversion module, which can efficiently convert the thermistor value into a digital output converter, support two-wire platinum resistance connection, and is compatible with three-wire and four-wire connections. It has high temperature sampling accuracy, low chip power consumption, simple design and strong stability.

[0050] The circuit board IO control signal is connected to the SOC PL pin. The control instruction issued by the SOC main control unit is 3.3V level, which is converted into 5VTTL level through the SM8T245 level conversion chip. The external relay controls the operation of the heating film, electric fan, cooling sheet, etc., and completes the action requirements according to the instructions issued by the SOC main control unit.

[0051] The output nodes of the BP neural network are set to 3, corresponding to the Kp, Ki, and Kd values ​​of the PID controller, and the number of neural network layers is set to 3, of which the input layer is determined to be 4 neuron nodes, the number of hidden layer neurons is set to 5, and the number of output layer neurons is determined to be 3. A non-negative Sigmoid function is selected as the activation function, the learning rate is set to 0.5, the initial weight generates a random number between [-1,1], and the momentum factor is set to 0.05. After setting the training parameters, the results of the BP neural network and PDI control algorithm model can be obtained.

[0052] Figure 3 and Figure 4 Flowchart of the usage of the SOC-based optoelectronic pod temperature control system.

[0053] The PC host issues the temperature setting value through the upper computer display module and sends it to the SOC main control unit through the serial communication module;

[0054] The SOC main control unit adopts BP neural network and PID control algorithm to obtain IO control instructions and realizes control of the temperature adjustment module through the driving circuit module;

[0055] The temperature detection module collects the temperature data in the photoelectric pod in real time, feeds it back to the upper computer display module, and displays the temperature change curve; at the same time, the temperature data is fed back to the SOC main control unit to update the IO control instructions until the temperature setting value is reached.

[0056] Figure 5 A comparison chart of the control effect of the present invention and the PID control effect is given. As can be seen from the figure, the present invention adopts a control algorithm combining BP neural network and PID, which can effectively solve the problem that it is difficult to form closed-loop optimization control in traditional PID control. For the temperature field adjustment scenario of complex nonlinear systems, the neural network can respond to system changes in a timely manner and make adaptive measures. The learning process converges quickly, the error gradient changes rapidly, the robustness and anti-interference ability are relatively strong, the overshoot is small, and the accuracy is high, so that the temperature field environment in the optoelectronic pod can be quickly and stably adjusted, so that various optical sensors and circuit boards can operate within a certain reasonable temperature range, forming a scientific and stable temperature field, ensuring the quality of post-stage imaging, and improving the service life of optical sensors. It can be widely used in various optoelectronic pod equipment of different military services.

Claims

1. A photoelectric pod temperature control system based on SOC, comprising a PC host, a real-time control unit and an execution unit, characterized in that: The PC host includes a host computer display module; the host computer display module is used to provide a human-computer interaction interface and display the temperature in the photoelectric pod in real time; The real-time control unit includes a SOC main control unit and a power module; the temperature data value is exchanged with the host computer display module through the serial communication module; the power module is responsible for supplying power to the SOC main control unit; The execution unit includes a temperature detection module, a driving circuit module, and a temperature adjustment module; The temperature detection module is used to monitor the temperature and feed back to the SOC main control unit; The driving circuit module is used to receive the IO control instructions of the SOC main control unit; The temperature regulating module is provided with a plurality of temperature regulating devices, and the temperature of the photoelectric pod is controlled by controlling the temperature regulating devices.

2. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The SOC main control unit is used to receive, process and forward data from various temperature sensors in the photoelectric pod.

3. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The SOC main control unit is provided with a power conversion chip, and the power conversion chip is used to convert the power supply of the power module into different level standards.

4. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The temperature detection module supports the connection of a two-wire RTD resistance sensor and transmits the ratio of the RTD resistance and the reference resistance to the ADC interface of the main control unit.

5. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The driving circuit module adopts a solid-state relay switch, and controls the on and off of the switch circuit based on the IO control signal of the SOC main control unit to realize the control of the silicone heating film, the fan, and the cooling sheet.

6. The SOC-based photoelectric pod temperature control system according to claim 1, characterized in that: The temperature regulating device of the temperature regulating module includes a heating film, an electric fan and a cooling plate.

7. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The serial communication module receives the temperature setting value from the host computer display module, and feeds back the real-time temperature data to the host computer display module.

8. The SOC-based photoelectric pod temperature control system according to claim 1 is characterized in that: The SOC main control unit adopts BP neural network and PID control algorithm to obtain IO control instructions based on the temperature setting value.

9. A method for using a photoelectric pod temperature control system based on SOC, characterized in that: The PC host issues the temperature setting value through the upper computer display module and sends it to the SOC main control unit through the serial communication module; The SOC main control unit adopts BP neural network and PID control algorithm to obtain IO control instructions and realizes control of the temperature adjustment module through the driving circuit module; The temperature detection module collects the temperature data in the photoelectric pod in real time, feeds it back to the upper computer display module, and displays the temperature change curve; at the same time, the temperature data is fed back to the SOC main control unit to update the IO control instructions until the temperature setting value is reached.

10. The method for using the SOC-based photoelectric pod temperature control system according to claim 9, characterized in that: The temperature setting value includes two situations: increasing and decreasing.

Citation Information

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