ling9527 发表于 2018-11-13 09:04:32

STM32 函数退出异常

我在一个函数里循环采集AD值,发现循环次数增多后,函数退出后不知道到了什么区域,后面的语句不执行了。有没有遇到过这种情况啊data:image/png;base64,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

xmshao 发表于 2018-11-21 11:59:25

检查下代码,有无数组越界?
有无DMA配置时的存储数据宽度定义与实际内存数据变量宽度定义不一致。。。

stm1024 发表于 2018-11-22 09:06:37

这种问题只能调试才能发现。有可能是因为内部问题导致的Hard Fault,或者是你的访问越界,或者是其他的中断导致的?

wenyangzeng 发表于 2018-11-22 09:28:20

每次ADC采集要等转换完成才能进行下一次采集,建议每次启动ADC后延时后再进入下一次转换

zhdzhd-174422 发表于 2018-11-22 09:47:09

跑代码吧,凭空想象不到它到到哪了,还是代码来的直接!就算有遇到过,每个人的风格不一样,也不可能有绝对相同的故障问题的!

tanic 发表于 2018-11-22 10:56:00

码农最重要的是学会沟通,而不是写代码,不要抱怨没人回答你的问题,
首先需要学会如何提问,其他人才能更好的理解你的问题。

如何有效地提问:
- 你做了什么,怎么做的
- 你查过什么资料,怎么说的
- 你是怎么设计的
- 贴出你的代码
- 编译错误是什么
- 代码截图,错误截图
- 结果有什么错,你期望的结果是什么
- 你是怎么想的

回答你的问题是情义,不理你是我的权力,没有人有义务要帮助你
你是在寻求帮助,态度好点,但也不要委屈自己

最后,如果你啥都不会,或者只会一点基础,不要期望我们告诉你怎么做

秦秦秦 发表于 2018-11-22 16:52:53

;P贴代码吧

butterflyspring 发表于 2018-11-23 10:08:36

调试一下,看看停在哪?不就知道了么?跑飞了吧

党国特派员 发表于 2018-12-4 12:33:51

贴代码吧,光这样子,没人会知道。
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查看完整版本: STM32 函数退出异常