Simulink代码生成——多速率任务调度
2022/3/20 6:31:54
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Simulink代码生成——多速率任务调度
单任务统一采样时间生成代码
通过如下简单模型测试,设定离散步长0.01,模型中有三个out输出信号,设置采样全部为-1(继承),那么模型中所有的采样速率均为0.01。为了方便代码阅读,对模型进行了一些简单的设置,定义了输入BUS,AliasType。
直接生成代码如下:
#include "Demo1.h" INPUT stInput; ExtY_Demo1_T Demo1_Y; RT_MODEL_Demo1_T Demo1_M_; RT_MODEL_Demo1_T *const Demo1_M = &Demo1_M_; void Demo1_step(void) { Demo1_Y.Out1 = (U8)((U32)stInput.paraA + stInput.paraB); Demo1_Y.Out2 = (U8)(stInput.paraA - stInput.paraB); Demo1_Y.Out3 = (U8)((U32)stInput.paraA * stInput.paraB); } void Demo1_initialize(void) { rtmSetErrorStatus(Demo1_M, (NULL)); }
单任务中设置不同采样时间生成代码
设置了三种不同采样速率,output2和output3采样速率分别设置为0.1和0.5
生成代码如下,产生了一个速率调度的函数rate_scheduler(),分别对应0.1和0.5。在step函数中根据速率来执行不同的逻辑。
#include "Demo1.h" INPUT stInput; B_Demo1_T Demo1_B; ExtY_Demo1_T Demo1_Y; RT_MODEL_Demo1_T Demo1_M_; RT_MODEL_Demo1_T *const Demo1_M = &Demo1_M_; static void rate_scheduler(void); static void rate_scheduler(void) { (Demo1_M->Timing.TaskCounters.TID[1])++; if ((Demo1_M->Timing.TaskCounters.TID[1]) > 9) { Demo1_M->Timing.TaskCounters.TID[1] = 0; } (Demo1_M->Timing.TaskCounters.TID[2])++; if ((Demo1_M->Timing.TaskCounters.TID[2]) > 49) { Demo1_M->Timing.TaskCounters.TID[2] = 0; } } void Demo1_step(void) { if (Demo1_M->Timing.TaskCounters.TID[1] == 0) { Demo1_Y.Out1 = (U8)((U32)stInput.paraA + stInput.paraB); Demo1_Y.Out2 = (U8)(stInput.paraA - stInput.paraB); Demo1_B.output3 = (U8)((U32)stInput.paraA * stInput.paraB); } if (Demo1_M->Timing.TaskCounters.TID[2] == 0) { Demo1_Y.Out3 = Demo1_B.output3; } rate_scheduler(); } void Demo1_initialize(void) { (void) memset((void *)Demo1_M, 0, sizeof(RT_MODEL_Demo1_T)); (void) memset(((void *) &Demo1_B), 0, sizeof(B_Demo1_T)); }
不同采样时间在生成代码时处理成独立的任务
生成代码如下:
#include "Demo1.h" INPUT stInput; B_Demo1_T Demo1_B; ExtY_Demo1_T Demo1_Y; RT_MODEL_Demo1_T Demo1_M_; RT_MODEL_Demo1_T *const Demo1_M = &Demo1_M_; void Demo1_step0(void) { } void Demo1_step1(void) { U8 rtb_output3; (Demo1_M->Timing.RateInteraction.TID1_2)++; if ((Demo1_M->Timing.RateInteraction.TID1_2) > 4) { Demo1_M->Timing.RateInteraction.TID1_2 = 0; } rtb_output3 = (U8)((U32)stInput.paraA + stInput.paraB); Demo1_Y.Out1 = rtb_output3; rtb_output3 = (U8)(stInput.paraA - stInput.paraB); Demo1_Y.Out2 = rtb_output3; rtb_output3 = (U8)((U32)stInput.paraA * stInput.paraB); if (Demo1_M->Timing.RateInteraction.TID1_2 == 1) { Demo1_B.output3 = rtb_output3; } } void Demo1_step2(void) { Demo1_Y.Out3 = Demo1_B.output3; } void Demo1_initialize(void) { (void) memset((void *)Demo1_M, 0, sizeof(RT_MODEL_Demo1_T)); (void) memset(((void *) &Demo1_B), 0, sizeof(B_Demo1_T)); }
三种采样时间在生成代码时产生了三个step函数,在示例中给出了如下的任务调度方式:
#include <stddef.h> #include <stdio.h> #include "Demo1.h" #include "rtwtypes.h" void rt_OneStep(void); void rt_OneStep(void) { static boolean_T OverrunFlags[3] = { 0, 0, 0 }; static boolean_T eventFlags[3] = { 0, 0, 0 }; static int_T taskCounter[3] = { 0, 0, 0 }; int_T i; if (OverrunFlags[0]) { rtmSetErrorStatus(Demo1_M, "Overrun"); return; } OverrunFlags[0] = true; for (i = 1; i < 3; i++) { if (taskCounter[i] == 0) { if (eventFlags[i]) { OverrunFlags[0] = false; OverrunFlags[i] = true; rtmSetErrorStatus(Demo1_M, "Overrun"); return; } eventFlags[i] = true; } } taskCounter[1]++; if (taskCounter[1] == 10) { taskCounter[1]= 0; } taskCounter[2]++; if (taskCounter[2] == 50) { taskCounter[2]= 0; } Demo1_step0(); OverrunFlags[0] = false; for (i = 1; i < 3; i++) { if (OverrunFlags[i]) { return; } if (eventFlags[i]) { OverrunFlags[i] = true; switch (i) { case 1 : Demo1_step1(); break; case 2 : Demo1_step2(); break; default : break; } OverrunFlags[i] = false; eventFlags[i] = false; } } } int_T main(int_T argc, const char *argv[]) { (void)(argc); (void)(argv); Demo1_initialize(); printf("Warning: The simulation will run forever. " "Generated ERT main won't simulate model step behavior. " "To change this behavior select the 'MAT-file logging' option.\n"); fflush((NULL)); while (rtmGetErrorStatus(Demo1_M) == (NULL)) { } return 0; }
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