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  • 调试spi转can芯片MCP2518,linux驱动下无法发送CAN消息

    [i=s] 本帖最后由 venus5712 于 2024-11-8 11:52 编辑 [/i] [color=#333333][backcolor=rgb(255, 255, 255)][font="][size=16px]内核版本5.10.0,SOC芯片Hi3519DV500,系统spi3.1挂载一个mcp2518fd芯片(linux-5.10\drivers\net\can\spi\mcp251xfd)[/size][/font][/backcolor][/color][color=#333333][backcolor=rgb(255, 255, 255)][font="][size=16px]编译模块通过后,系统里加载ko文件 [/size][/font][/backcolor][/color] [color=#333333][backcolor=rgb(255, 255, 255)][font="][size=16px]配置can 2.0 模式 [/size][/font][/backcolor][/color] [backcolor=rgb(255, 255, 255)][font=Courier][color=#333333]ip link set can0 down[/color][/font] [font=Courier][color=#333333]ip link set can0 up type can bitrate 500000 sample-point 0.80[/color][/font] [font=Courier][color=#333333]ip link set can0 up[/color][/font] [/backcolor] [backcolor=rgb(255, 255, 255)][font=Courier][color=#333333]~ # insmod mcp251xfd.ko[/color][/font] [/backcolor] [backcolor=rgb(255, 255, 255)][font=Courier][color=#333333]spi_master spi3: will run message pump with realtime priority[/color][/font] [font=Courier]mcp251xfd spi3.1: setup mode 3, 8 bits/w, 15000000 Hz max --> 0[/font] [font=Courier]mcp251xfd spi3.1: can_rx_offload_init_queue: skb_queue_len_max=512[/font] [font=Courier]mcp251xfd spi3.1 can0: MCP2518FD rev0.0 (+RX_INT -MAB_NO_WARN +CRC_REG +CRC_RX +CRC_TX +ECC -HD c:40.00MHz m:15.00MHz r:15.00MHz e:0.00MHz) successfully initialized.[/font] [font=Courier]mcp251xfd spi3.1 can0: FIFO setup: TEF: 8*12 bytes = 96 bytes, TX: 8*16 bytes = 128 bytes[/font] [font=Courier]mcp251xfd spi3.1 can0: FIFO setup: RX-0: 32*20 bytes = 640 bytes[/font] [font=Courier]mcp251xfd spi3.1 can0: FIFO setup: free: 1184 bytes[/font] 接收测试: [font=Courier]~ # ./candump can0 &[/font] [font=Courier]~ # can0 001 [8] 00 11 22 33 44 55 66 77[/font] [font=Courier] can0 001 [8] 01 11 22 33 44 55 66 77[/font] 但是cansend无消息发出,spi配置逻辑分析仪抓取信号如下,CANTX没有信号: [img]data:image/png;base64,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[/img] 模块配置使用驱动默认配置,没有其他修改。 [/backcolor]

    嵌入式 芯片 发送 spi 调试 linux驱动

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