问答

[i=s] 本帖最后由 jabin926 于 2024-6-4 15:41 编辑 [/i] [img]data:image/png;base64,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[/img][img]data:image/png;base64,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**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**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[/img]光耦前端使用低电平控制，接工控板或PLC，PMOS管控制12V，后端接大功率设备30A左右。 帮忙画个电路图

目前拿到刷写的OTA升级包，如何反汇编其中的二进制数据呢？

各位大师： 大家好！我使用英飞凌官方的开发板来调试CAN通讯，CAN通讯的例程为“MCMCAN_1_KIT_TC334_LK”，我将内部环回修改为连接到外部，但是修改后，发现通讯并未调通，且无法进入到TX发送中断，还请熟悉这一块的大师帮忙指导一下，我附上代码： /*********************************************************************************************************************/ /*-----------------------------------------------------Includes------------------------------------------------------*/ /*********************************************************************************************************************/ #include "MCMCAN.h" /*********************************************************************************************************************/ /*-------------------------------------------------Global variables--------------------------------------------------*/ /*********************************************************************************************************************/ McmcanType g_mcmcan; /* Global MCMCAN configuration and control structure */ IfxPort_Pin_Config g_led1; /* Global LED1 configuration and control structure */ IfxPort_Pin_Config g_led2; /* Global LED2 configuration and control structure */ /*********************************************************************************************************************/ /*---------------------------------------------Function Implementations----------------------------------------------*/ /*********************************************************************************************************************/ /* Macro to define Interrupt Service Routine. * This macro: * - defines linker section as .intvec_tc_. * - defines compiler specific attribute for the interrupt functions. * - defines the Interrupt service routine as ISR function. * * IFX_INTERRUPT(isr, vectabNum, priority) * - isr: Name of the ISR function. * - vectabNum: Vector table number. * - priority: Interrupt priority. Refer Usage of Interrupt Macro for more details. */ IFX_INTERRUPT(canIsrTxHandler, 0, ISR_PRIORITY_CAN_TX); IFX_INTERRUPT(canIsrRxHandler, 0, ISR_PRIORITY_CAN_RX); /* Interrupt Service Routine (ISR) called once the TX interrupt has been generated. * Turns on the LED1 to indicate successful CAN message transmission. */ void canIsrTxHandler(void) { /* Clear the "Transmission Completed" interrupt flag */ IfxCan_Node_clearInterruptFlag(g_mcmcan.canSrcNode.node, IfxCan_Interrupt_transmissionCompleted); /* Just to indicate that the CAN message has been transmitted by turning on LED1 */ IfxPort_setPinLow(g_led1.port, g_led1.pinIndex); } /* Interrupt Service Routine (ISR) called once the RX interrupt has been generated. * Compares the content of the received CAN message with the content of the transmitted CAN message * and in case of success, turns on the LED2 to indicate successful CAN message reception. */ void canIsrRxHandler(void) { /* Clear the "Message stored to Dedicated RX Buffer" interrupt flag */ IfxCan_Node_clearInterruptFlag(g_mcmcan.canDstNode.node, IfxCan_Interrupt_messageStoredToDedicatedRxBuffer); /* Read the received CAN message */ IfxCan_Can_readMessage(&g_mcmcan.canDstNode, &g_mcmcan.rxMsg, g_mcmcan.rxData); /* Check if the received data matches with the transmitted one */ if( ( g_mcmcan.rxData[0] == g_mcmcan.txData[0] ) && ( g_mcmcan.rxData[1] == g_mcmcan.txData[1] ) && ( g_mcmcan.rxMsg.messageId == g_mcmcan.txMsg.messageId ) ) { /* Turn on the LED2 to indicate correctness of the received message */ IfxPort_setPinLow(g_led2.port, g_led2.pinIndex); } } /* Function to initialize MCMCAN module and nodes related for this application use case */ void initMcmcan(void) { /* ========================================================================================== * CAN module configuration and initialization: * ========================================================================================== * - load default CAN module configuration into configuration structure * - initialize CAN module with the default configuration * ========================================================================================== */ IfxCan_Can_Pins example_pins; example_pins.txPin=&IfxCan_TXD00_P20_8_OUT; example_pins.txPinMode=IfxPort_OutputMode_pushPull; example_pins.rxPin=&IfxCan_RXD00B_P20_7_IN; example_pins.rxPinMode=IfxPort_InputMode_noPullDevice;//IfxPort_InputMode_noPullDevice example_pins.padDriver=IfxPort_PadDriver_cmosAutomotiveSpeed2; IfxCan_Can_initModuleConfig(&g_mcmcan.canConfig, &MODULE_CAN0);//MODULE_CAN0 IfxCan_Can_initModule(&g_mcmcan.canModule, &g_mcmcan.canConfig); /* ========================================================================================== * Source CAN node configuration and initialization: * ========================================================================================== * - load default CAN node configuration into configuration structure * * - set source CAN node in the "Loop-Back" mode (no external pins are used) * - assign source CAN node to CAN node 0 * * - define the frame to be the transmitting one * * - once the transmission is completed, raise the interrupt * - define the transmission complete interrupt priority * - assign the interrupt line 0 to the transmission complete interrupt * - transmission complete interrupt service routine should be serviced by the CPU0 * * - initialize the source CAN node with the modified configuration * ========================================================================================== */ IfxCan_Can_initNodeConfig(&g_mcmcan.canNodeConfig, &g_mcmcan.canModule); g_mcmcan.canNodeConfig.busLoopbackEnabled = FALSE;//FALSE g_mcmcan.canNodeConfig.nodeId = IfxCan_NodeId_0; g_mcmcan.canNodeConfig.frame.type = IfxCan_FrameType_transmit; g_mcmcan.canNodeConfig.interruptConfig.transmissionCompletedEnabled = TRUE;//TRUE g_mcmcan.canNodeConfig.interruptConfig.traco.priority = ISR_PRIORITY_CAN_TX; g_mcmcan.canNodeConfig.interruptConfig.traco.interruptLine = IfxCan_InterruptLine_0;//IfxCan_InterruptLine_0 g_mcmcan.canNodeConfig.interruptConfig.traco.typeOfService = IfxSrc_Tos_cpu0;//traco g_mcmcan.canNodeConfig.pins=&example_pins; IfxCan_Can_initNode(&g_mcmcan.canSrcNode, &g_mcmcan.canNodeConfig); /* ========================================================================================== * Destination CAN node configuration and initialization: * ========================================================================================== * - load default CAN node configuration into configuration structure * * - set destination CAN node in the "Loop-Back" mode (no external pins are used) * - assign destination CAN node to CAN node 1 * * - define the frame to be the receiving one * * - once the message is stored in the dedicated RX buffer, raise the interrupt * - define the receive interrupt priority * - assign the interrupt line 1 to the receive interrupt * - receive interrupt service routine should be serviced by the CPU0 * * - initialize the destination CAN node with the modified configuration * ========================================================================================== */ IfxCan_Can_initNodeConfig(&g_mcmcan.canNodeConfig, &g_mcmcan.canModule); g_mcmcan.canNodeConfig.busLoopbackEnabled = FALSE;//FALSE g_mcmcan.canNodeConfig.nodeId = IfxCan_NodeId_1; g_mcmcan.canNodeConfig.frame.type = IfxCan_FrameType_receive; g_mcmcan.canNodeConfig.interruptConfig.messageStoredToDedicatedRxBufferEnabled = TRUE; g_mcmcan.canNodeConfig.interruptConfig.reint.priority = ISR_PRIORITY_CAN_RX; g_mcmcan.canNodeConfig.interruptConfig.reint.interruptLine = IfxCan_InterruptLine_1; g_mcmcan.canNodeConfig.interruptConfig.reint.typeOfService = IfxSrc_Tos_cpu0; IfxCan_Can_initNode(&g_mcmcan.canDstNode, &g_mcmcan.canNodeConfig); /* ========================================================================================== * CAN filter configuration and initialization: * ========================================================================================== * - filter configuration is stored under the filter element number 0 * - store received frame in a dedicated RX Buffer * - define the same message ID as defined for the TX message * - assign the filter to the dedicated RX Buffer (RxBuffer0 in this case) * * - initialize the standard filter with the modified configuration * ========================================================================================== */ g_mcmcan.canFilter.number = 0; g_mcmcan.canFilter.elementConfiguration = IfxCan_FilterElementConfiguration_storeInRxBuffer; g_mcmcan.canFilter.id1 = CAN_MESSAGE_ID; g_mcmcan.canFilter.rxBufferOffset = IfxCan_RxBufferId_0; IfxCan_Can_setStandardFilter(&g_mcmcan.canDstNode, &g_mcmcan.canFilter); } /* Function to initialize both TX and RX messages with the default data values. * After initialization of the messages, the TX message is transmitted. */ void transmitCanMessage(void) { /* Initialization of the RX message with the default configuration */ IfxCan_Can_initMessage(&g_mcmcan.rxMsg); /* Invalidation of the RX message data content */ memset((void *)(&g_mcmcan.rxData[0]), INVALID_RX_DATA_VALUE, MAXIMUM_CAN_DATA_PAYLOAD * sizeof(uint32)); /* Initialization of the TX message with the default configuration */ IfxCan_Can_initMessage(&g_mcmcan.txMsg); /* Define the content of the data to be transmitted */ g_mcmcan.txData[0] = TX_DATA_LOW_WORD; g_mcmcan.txData[1] = TX_DATA_HIGH_WORD; /* Set the message ID that is used during the receive acceptance phase */ g_mcmcan.txMsg.messageId = CAN_MESSAGE_ID; IfxCan_Can_sendMessage(&g_mcmcan.canSrcNode, &g_mcmcan.txMsg, &g_mcmcan.txData[0]); /* Send the CAN message with the previously defined TX message content */ // while( IfxCan_Status_notSentBusy == // IfxCan_Can_sendMessage(&g_mcmcan.canSrcNode, &g_mcmcan.txMsg, &g_mcmcan.txData[0]) ) // { // } } /* Function to initialize the LEDs */ void initLeds(void) { /* ====================================================================== * Configuration of the pins connected to the LEDs: * ====================================================================== * - define the GPIO port * - define the GPIO pin that is connected to the LED * - define the general GPIO pin usage (no alternate function used) * - define the pad driver strength * ====================================================================== */ g_led1.port = &MODULE_P00; g_led1.pinIndex = PIN0; g_led1.mode = IfxPort_OutputIdx_general; g_led1.padDriver = IfxPort_PadDriver_cmosAutomotiveSpeed1; g_led2.port = &MODULE_P00; g_led2.pinIndex = PIN1; g_led2.mode = IfxPort_OutputIdx_general; g_led2.padDriver = IfxPort_PadDriver_cmosAutomotiveSpeed1; /* Initialize the pins connected to LEDs to level "HIGH", which keep the LEDs turned off as default state */ IfxPort_setPinHigh(g_led1.port, g_led1.pinIndex); IfxPort_setPinHigh(g_led2.port, g_led2.pinIndex); /* Set the pin input/output mode for both pins connected to the LEDs */ IfxPort_setPinModeOutput(g_led1.port, g_led1.pinIndex, IfxPort_OutputMode_pushPull, g_led1.mode); IfxPort_setPinModeOutput(g_led2.port, g_led2.pinIndex, IfxPort_OutputMode_pushPull, g_led2.mode); /* Set the pad driver mode for both pins connected to the LEDs */ IfxPort_setPinPadDriver(g_led1.port, g_led1.pinIndex, g_led1.padDriver); IfxPort_setPinPadDriver(g_led2.port, g_led2.pinIndex, g_led2.padDriver); }

丝印 BMQS2100请问是哪个厂家的产品？求助。。。。

使用的是ChipON IDE KF32，但是编译后代码里好多注释都变成了乱码，中文字符还可以正常显示，如下图，请问如何解决。[img]data:image/png;base64,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***rSwDtO+wgbD/lsiKpQzhQG1Cu0GRVX72RBNX01LSsyQtVBxoYgiLpAm2cRBFEXyNgQBFEXyNgQBFEXmv79j1w2BEGYD7VsCIKoC2RsCIKoC2RsCIKoC/8DSWBZguSqow4AAAAASUVORK5CYII=[/img] [img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJsAAAAbCAYAAABr0f1UAAADsElEQVR4nO2bv2saYRjHv5H+CaWQxa2DzU2BDkGIdnEqpYO0FEq9wSCV4t4Gk6PFdA+Y3uEipRhSb6qZHFJPFIdiJ9GhQ/BKFE7/h6eDmrbG837ZNxf6fuDg7vXr8776fu+5533RNSIicDgMCFz3ADj/D9xsHGZws3GYwc3GYQY3G4cZ3GwcZnCzcZjxh9mGOJD2cDxm07FeV3DQYx/P77qbg3O/3Jqd6PUPqAqPUbu9WNhURWgbRbwJeR0kgJ6CF2ctAEBESiHMKp7fdTZoqiJ2O3ONd+L4mH6IoMe4TubXyi+LmGa2IZodHbGNTeejdMx3HJy0puct7B6dQmcSz+86+8Se**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[/img]

X5R应用在120度环境下，会出现哪些问题？是什么原因导致的？有可以讲的清楚的么？

麻烦请教下大神，现场出的批量性问题。[img]https://bbs.21ic.com/static/image/smiley/comcom/9.gif[/img][img]https://bbs.21ic.com/static/image/smiley/comcom/9.gif[/img][img]https://bbs.21ic.com/static/image/smiley/comcom/9.gif[/img] 1、设备输出电流比设定的电流小1A左右，感觉采样电阻两端有浮压，万用表一碰就正常了。（1）在万用表的电压档，只用正表笔碰采样电阻的正极，设备输出电流恢复正常； （2）在万用表的OFF档，只用正表笔碰采样电阻的正极，设备输出电流恢复正常； （3）在万用表的电压档负表笔碰采样电阻的负极，设备输出电流还是偏小1A； （4）在传感器±15V供电的GND与机壳之间接个Y电容，接触顺序会打火，设备输出电流还是偏小1A； （5）在设备只通二次电，然后放着经过一夜，第二天一开机就比较容易出现电流偏置的现象。现象不能经常复现，所以现在会比较头疼，还没找到本质原因。

公司要用灵动微MM32F0020做一个充电器输出管理 哪位师兄有头文件和范例程序，借鉴一下，非常感谢 [email]191007780@qq.COM[/email] 微信：15875544627

最近在做温差发电TEG，电源内阻比较大，8V的开路电压，内阻2.5Ω左右。看到一篇文献用TEG给一个器件供电，用了一个负反馈电流放大电流。电路图如下，对比没有用运放的电路（TEG直接供电给器件），然后去算两者流过器件的电流差，发现差值高达2A左右，这个Ig不会把运放烧坏吗。运放的功率比较小550mW。如果这样功率岂不是放大了。如果这个RT特别小，电流岂不是无限大，功率也无限大了，不符合能量守恒了呀

想用F407系列选择一款做双向储能逆变，需要温度承受到105度，内置频率不能漂移太多。至少要16通道12bit的AD，最好16通道PWM，最好有4通道互补的。哪款好呢？

刚进入一家公司，做观光车的，职位做底层控制器的，啥都不会，怎么办？[img]https://bbs.21ic.com/static/image/smiley/comcom/9.gif[/img]

mdelay函数定时不准，mdelay（60000）应该延时1分钟的，但是没有延时1分钟

有知道宝马四驱分动器控制单元是如何计算扭矩的吗？查了一些资料发现宝马四驱分动器(E70)的工作原理是DSC模块计算出标准扭矩发给分动器控制单元，由分动器控制单元控制电机运转控制离合器压紧或松开，进而实现前后轮扭矩分配并将当前后桥扭矩实际值发送到总线上；目前问题是分动器控制单元是如何计算前后桥实际扭矩的？

[backcolor=rgb(228, 240, 253)][font=微软雅黑][size=13.3333px]我想做2种产品，基于KF8F4142的舵机控制方案， 防溜坡1000瓦电动车电机控制器，请推荐一下型号啊，并给一下原厂技术的联系方式[/size][/font][/backcolor]

产测工装，让产线员工不用听声就能知道风扇转速变化，可以以数字形式显示风扇的转速，或者最好可以接入系统读取数值，请问各位大佬有推荐吗？谢谢。