混合信号嵌入式设计实验指南-数字实验之：实验2—中断
目标：本实验专门用于介绍PSoC CPU 的中断句柄。注意这个实验分成7 个部分：LAB2A 到LAB 2G 。在继续下一个实验前，要成功地完成每一个部分。完成这个实验后，读者应能做到：
用C 语言写控制程序；
理解如何处理一个发布的中断；
理解如何处理一个未处理的中断；
将CPU 设置在休眠模式，然后用休眠定时器未处理的中断唤醒它；
使用汇编语言编写的中断句柄，来操作在C 程序里声明的一个全局变量；
使用C 语言编写的中断句柄，来操作在C 程序里声明的一个全局变量；
在中断向量表空间中，放置一个小的中断服务程序ISR。
假设：
所有先前实验的假设；
使能编译器用于开发系统。
要求的材料：
CY3210 PSoCEval1 板子；
面包板线。
要求的设备：
无。
相关的参考资料
所有前面实验的参考资料；
Cypress C 语言编译器用户指南。
中断控制器为PSoC 混合信号阵列内的不同硬件资源提供了一种机制，可以将程序的执行改变到新的地址，而不需要考虑当前正在执行的任务。图1.13 给出了中断处理的方块图。
对于CPU，要识别一个特殊资源的中断，下面必须是真（有效）的：
必须设置它的中断使能屏蔽；
http://www.eefocus.com/embedded/325200/data:image/png;base64,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
图1.13 中断处理
它必须是所有未处理中断中，级别最高的；必须设置全局中断使能。CPU 通过下面响应这个请求：将当前程序计数器的值保存起来；将当前标志寄存器的值保存起来。跳转到指定的中断向量地址。对于27x 系列的器件，有18 个不同的中断源。
表1.2 从最高优先级到最低优先级，给出了每个中断源和它的向量地址。
表1.2 中断向量表
中断源
向量位置
硬件复位
0x0000
供电监视器
0x0004
模拟列0
0x0008
模拟列1
0x000c
模拟列2
0x0010
模拟列3
0x0014
VC3
时钟
GPIO
0x001c
数字块00
0x0020
数字块01
0x0024
数字块02
0x0028
数字块03
0x002c
数字块10
0x0030
数字块11
0x0034
数字块12
0x0038
数字块13
0x003c
I2C
0x0060
休眠定时器
0x0064
在中断服务程序的末尾，先前程序计数器和标志寄存器的值被恢复到它们原来的值，原先的程序从离开它的地方继续。
练习2A-1 ：假设正确的使能全局中断和中断屏蔽，可能永远不能服务较低优先级的中断。这是为什么？
1.2.1 实验2A—发布中断
使用INT_CLRx 寄存器访问发布的中断。通过INT_CLR0 寄存器的第6 比特位来控制休眠定时器发布中断。当该位的值为“1”时，将发布一个定时器的中断。将该位设置为“0”时，将清除所发布的中断。
步骤1：创建新的工程。
工程名字为Lab2A
—选择C 选项；
—用于器件类型及其设置的标准实验设置；
—转到互联界面，将全局参数Sleep_Timer 设置为1Hz （这将使得休眠定时器每一秒钟产生一个等待处理的中断）；
—按表1.3 设置四个端口引脚。
表1.3 端口驱动设置
名字（Name）
端口（Port）
选择（Select）
驱动（Drive）
LedOut1
P1
StdCPU
Strong
LedOut2
P1
StdCPU
Strong
LedOut3
P1
StdCPU
Strong
LedOut4
P1
StdCPU
Strong
步骤2：在Eval1 板子上添加跳线。
使用跳线进行下面的连接—P10 到LED1 —P11 到LED2 —P12 到LED3
P13 到LED4 。生成应用。步骤3：写软件。转到应用程序编辑器，打开如图1.14 所示的main.c 文件。如图1.15 所示，添加代码。该程序应注意：bShadow 定义成一个全局单字节变量。INT_CLR0 寄存器用来监视和清除休眠定时器已经发布的中断。
http://www.eefocus.com/embedded/325200/data:image/png;base64,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
图1.14 main.c 原型
http://www.eefocus.com/embedded/325200/data:image/png;base64,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
图1.15 Lab2A 控制软件
练习2A-2 ：这段代码的作用是什么？
步骤4：下载并运行。建立工程，并验证工程没有错误；下载程序到Eval1，并且运行；用LED 的输出来验证操作。练习2A-3：LED 的操作和练习2 中预测的一样吗? 返回互联视图，将休眠定时器参数改为8Hz 。练习2A-4 ：当休眠定时器的参数为8Hz 时，对LED 的输出有什么影响? 重新生成应用，重新建立工程，下载到Eval1 板子，并且运行。
练习2A-5 ：观察结果是否确认了练习2A-4 的预测？
1.2.2 实验2B—待处理的中断
步骤1：复制Lab2A。打开Lab2A。将工程保存为Lab2B。打开这个新的工程，并转到布局视图。保持当前Eval1 板上的跳线状态。重新生成应用。CPU_SCR0 是一个寄存器，当第3 位设置为高时，系统处于低功耗休眠模式。在这个模式下，禁止系统时钟。为了唤醒时钟，必须清除该位的设置。因为CPU 没有操作，因此通过定义CPU 不能清除该位。只有出现任何待处理的中断时，才能清除该位。在其中的一个INT_MSKx 寄存器中，对合适的位进行设置，将使能一个待处理的中断。当INT_MSK0 寄存器的第6 位设置为高时，使能休眠定时器中断。
对于更多可读的代码，系统定义了M8C_Sleep 为（CPU_SCR0|=0x08）。这将引起系统进入休眠模式。步骤2：修改代码。转到应用程序编辑器，打开main.c 。进行下面的修改。
—使用INT_MSK0 ，使能休眠定时器中断。
—使用休眠命令代替代码中用于等待一个已发布中断的部分。重新建立工程，下载到Eval1 板子，并且运行。验证程序正确的工作。
练习2B-1：为什么你想使用休眠模式来代替轮询已发布的休眠定时器中断？练习2B-2：为什么你想轮询，而不是将系统进入到休眠模式？
1.2.3 实验2C—全局中断
步骤1：创建新的工程。
复制Lab2B，将其命名为Lab2C。
所有参数和跳线连接保持一样。
重新生成应用。
可以使用两种不同的方法清除已经发布的中断。正如以前给出的那样，通过清除INT_CLR0 的第6 比特位来强迫清除。另一个方法是服务中断。最小的中断服务例程被放置在中断向量地址的“reti” 。所有这个例程将CPU 的操作返回到原来的程序。用于这个中断服务程序的术语称为“stub” （存根）。
打开boot.asm ，并且验证在休眠定时器向量位置存在一个存根。
练习2C-1：在这个向量位置有多少代码空间可以使用？
练习2C-2：假设需要更多的空间，你将如何做？
设置标志“F”寄存器的第0 比特位，使能全局中断。相反清除该位将禁止全局中断。对于更多的可读代码，系统定义了M8C_EnableGInt 为asm“or F,01h”。它使能全局中断。“asm() ”是一个函数，其允许在C 程序中嵌入汇编命令。
步骤2：修改代码。
转到应用程序编辑器中，打开main.c 。
进行下面的修改。
—添加代码使能全局中断。
—删除用于清除休眠定时器中断的代码。
重新建立工程，下载到Eval1，并运行。
像前面一样验证程序。
下面给出了代码的例子（也可用于Lab2C）
#include <m8c.h> // part specific constants and macros
#include "PSoCAPI.h" // PSoC API definitions for all User Modules
extern unsigned char bShadow=0; void main(void)
{
PRT1DR=0;
INT_MSK0|=0x40;
M8C_EnableGInt;
while(1)
{
M8C_Sleep; //sleep commandbShadow++; PRT1DR=bShadow;
}
}
1.2.4 实验2D—汇编器中断服务例程
步骤1：创建新的工程。复制Lab2C，将其命名为Lab2D。
所有参数和跳线连接保持一样。重新生成应用。
步骤2：修改代码。创建新的名字为SleepTimerRoutines.asm 的汇编文件。打开该文件，并按照图1.16 所示添加代码。
http://www.eefocus.com/embedded/325200/data:image/png;base64,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
图1.16 SleepTimer 中断服务程序
需要注意这个工程中的一些条目：
保存累加器的值，以后从堆栈中恢复。中断硬件只保护程序计数器和标志寄存器，这是一个中断服务程序的最小要求。其他主程序使用的寄存器也需要保护。这通常是通过将它们暂存在堆栈中实现的。
bShadow 是一个在main.c 中声明的全局变量。当使用汇编语言时，必须在这个变量前加一个下划线。反之，任何一个在汇编文件中定义的全局变量，必须以下划线开头，为了让C 例程能找到它。
例程以reti 结尾。—打开boot.asm 文件，在休眠定时器向量位置放置如下代码：ljmp SleepTimerISR 练习2D-1 ：这个指令要求多少个字节?
重新生成工程。
打开boot.asm ，并且验证刚才输入的代码消失了，这是因为当每次重新生成工程时，每次都重写boot.asm 。对于这个地方的代码，必须输入到用于生成boot.asm 的模板文件。
打开boot.tpl ，将下面的代码放到休眠定时器向量位置。
ljmp SleepTimerISR
重新生成工程。
打开boot.asm ，验证代码现在驻留在正确的向量位置。
打开main.c 文件，删除控制循环内的所有代码。程序始终处于这个循环，一直等到在休眠定时器中断服务程序中为休眠定时器服务为止。
重新建立工程，下载到Eval1 板子，并运行。
像前面一样验证程序。
1.2.5 实验2E—C 语言中断服务例程
步骤1：创建新的工程。
复制Lab2D，将其命名为Lab2E。
所有参数和跳线连接保持一样。
重新生成应用。
步骤2：修改代码。
删除名字为SleepTimerRoutines.asm 的汇编文件。
打开main.c 文件，并按照图1.17 所示添加代码。
http://www.eefocus.com/embedded/325200/data:image/png;base64,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
图1.17 Lab2C 控制软件
需要注意这个工程中的一些条目：
Pragma 允许一个函数被用做一个中断句柄。编译器将自动添加必要的代码来保护它所使用的任何寄存器。它被用做一个也添加reti。当然，这样一个函数不能接受参数和返回一个结果。
练习2E-1：为什么？
将必要的代码添加到该函数中，实现前面的汇编中断服务程序。打开boot.tpl ，转到休眠定时器向量，在SleepTimerISR 前面添加下划线。注意：对于在C 中声明的函数和变量，添加下划线。如果在C 中声明了一个变量
CVar ，则在汇编例程中作为_iCVar 使用，在C 中作为iCVar 使用。如果_iAsmVar 在汇编语言中声明为一个变量，则它在汇编例程中作为_iASmVar 使用，在C 例程中作为iCVar 使用。iAsmVar 是一个在汇编语言中声明的变量，它可以在汇编例程中作为iASmVar 使用，但在C 中不可使用。
重新生成应用，重新建立工程，下载到Eval1 板子，运行；像前面一样验证程序。
1.2.6 实验2F—强迫一个中断
步骤1：创建新的工程。复制Lab2E，将其命名为Lab2F。所有参数和跳线连接保持一样。重新生成应用。有时候，通过软件强迫产生一个中断是非常有利的。通过设置中断的INT_CLRx
寄存器能实现这个功能。对于休眠定时器，这是INT_CLR0 的第6 位。为了保证该位不是偶然设置的，必须设置使能软件中断位（ENSWINT），该位为INT_MSK3 寄存器的第7 位。表1.4 给出了操作INT_CLRx 位的可能结果。
表1.4 INT_CLRx 和ENSWINT 行为/结果表
行为
结果
从INT_CLRx
位读一个0
从INT_CLRx
位读一个1
当ENSWINT=0，写0
到INT_CLRx
当ENSWINT=0，写1
到INT_CLRx
当ENSWINT=1，写0
到INT_CLRx
当ENSWINT=1，写1
到INT_CLRx
练习2F-1：在前面的实验中，没有通过添加代码设置ENSWINT 为0 来清除已经发布的中断，为什么这样做？
步骤2：修改代码。
添加代码使能ENSWINT。添加控制循环代码强制休眠定时器发布一个中断。
练习2F-2：现在，这个程序如何工作？重新生成工程，重新建立工程，下载到Eval1 板子，运行。练习2F-3：现在操作是否和你的预测一样？
1.2.7 实验2G—创建非常小的中断服务例程
步骤1：创建新的工程。
复制Lab2F，将其命名为Lab2G。设置Sleep_Timer 全局参数为64Hz 。
所有其他参数和跳线连接保持一样。有时候，中断服务程序是很小的，这样它就能驻留在用于它的输入向量的4 个字节空间。
步骤2：修改代码。删除main.c 中的中断句柄。创建全局单字节变量bCount 。删除使能ENSWINT 的代码。
删除强制一个中断的代码。
打开boot.tpl ，添加汇编代码到休眠定时器中断向量位置，用于减这个新的变量
（确保保留reti）。练习2G-1 ：这个中断句柄占用多少个字节？
在控制循环中添加代码：
— 打开所有的四个灯。
—设置bCount 为255 。
—等待bCount 为0。
—关闭LED4 。
—设置bCount 为192 。
—等待bCount 为0。
—关闭LED3 。
—设置bCount 为128 。
—等待bCount 为0。
—关闭LED2 。
—设置bCount 为64。
—等待bCount 为0。
—关闭LED1 。
—设置bCount 为32。
—等待bCount 为0。练习2G-2 ：输出行为将如何？重新生成应用程序，重新建立工程，下载到Eval1 板子，并运行。练习2G-3 ：真正的操作和预测的一样吗？
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