基于SPI全双工通信的ICNI健康管控系统
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西南电子技术研究所 成都 61003

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TN971

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ICNI health control system based on SPI full duplex communication
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Southwest China Institute of Electronic Technology,Chengdu 610036, China

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    摘要:

    无人机通信导航识别系统(ICNI)更高程度的综合化使得ICNI主控模块需完成基于多种总线通信的系统管控、数据转发等功能,对核心处理器的处理性能和接口资源有着更高要求。因此对模块中的健康管控系统提出了更轻量级的设计要求。本文在主控模块内采用CPU+MCU分布式架构设计了一种全国产化的基于CAN总线的健康管理系统。由FT-2000/4作为核心处理器,MCU作为协处理器实现CAN总线接口单元,二者通过SPI全双工通信完成CAN总线应用层数据交互,实现CPU对系统内各模块/单元的状态查询、命令下发,从而实现系统的健康管理。该系统可实时监测系统内各模健康状态,电路设计仅占用核心处理器SPI和GPIO接口,不占用其他接口资源和可编程逻辑(FPGA)资源,硬件设计简单,减轻电路布局和结构设计压力。健康管理部分电路器件成本较业内其他典型设计降低至少60%,符合低成本需求。

    Abstract:

    The integration of the integrated communications/navigation/identification (ICNI) system for unmanned aerial vehicles necessitates that the master control module of the ICNI performs functions such as system control and data forwarding via multiple bus communications. This requirement imposes higher demands on the processing performance and interface resources of the core processor. Consequently, there is a need for a more lightweight design for the health control system within the module. This paper presents a fully domestic CAN bus-based health management system designed using a CPU+MCU distributed architecture within the main control module. The FT-2000/4 serves as the core processor, while the MCU acts as the coprocessor to implement the CAN bus interface unit. The two components facilitate application layer data exchange over the CAN bus through SPI full-duplex communication, enabling the CPU to query the status and issue commands to each module/unit in the system, thereby achieving effective health management. The system is capable of real-time monitoring of the health status of each module. Notably, the circuit design utilizes only the SPI and GPIO interfaces of the core processor, without occupying additional interface resources or programmable logic (FPGA) resources. This approach simplifies the hardware design and alleviates the challenges associated with circuit layout and structural design. Furthermore, the cost of the health management circuitry is at least 60% lower than that of other typical designs in the industry, addressing the need for cost-effective solutions.

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刘维.基于SPI全双工通信的ICNI健康管控系统[J].电子测量技术,2024,47(19):34-43

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  • 在线发布日期: 2024-12-24
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