基于tc264的加速度计校准代码
时间: 2023-12-15 16:04:11 浏览: 158
下面是基于TC264的加速度计校准代码示例:
```c
#include <stdio.h>
#include <stdlib.h>
#include "Ifx_Types.h"
#include "IfxCpu.h"
#include "IfxScuWdt.h"
#include "IfxPort.h"
#include "IfxAsclin.h"
#include "IfxStm.h"
#include "IfxGtm_Tom_PwmHl.h"
#include "IfxGtm_Tom_Timer.h"
#include "IfxGtm_Cmu.h"
#include "IfxGtm_Trig.h"
#include "IfxGtm.h"
#include "IfxMultican.h"
#include "IfxQspi_SpiMaster.h"
#include "IfxQspi_SpiSlave.h"
#include "IfxQspi_bsp.h"
#include "IfxQspi_reg.h"
#include "IfxQspi_PinMap.h"
#include "IfxQspi_SpiSlave.h"
#include "IfxQspi_SpiMaster.h"
#include "IfxQspi_regdef.h"
#include "IfxQspi_bsp.h"
#include "IfxQspi_pinmap.h"
#include "IfxQspi.h"
#include "IfxScu_reg.h"
#include "IfxScu_bsp.h"
#include "IfxStm_reg.h"
#include "IfxStm_bsp.h"
#include "IfxGpt12.h"
#include "IfxGpt12_bsp.h"
#include "Ifx_FftF32.h"
#include "Ifx_FftComplexF32.h"
#include "Ifx_FftC32.h"
#include "Ifx_FftComplexC32.h"
#include "Ifx_FftF32Cfg.h"
#include "Ifx_FftC32Cfg.h"
#include "IfxVadc.h"
#include "IfxVadc_Adc.h"
#include "IfxVadc_bsp.h"
#include "IfxVadc_reg.h"
#include "IfxVadc_pinmap.h"
#include "IfxVadc_cfg.h"
#include "IfxVadc_Adc.h"
#include "IfxVadc_Adc_Adcdig.h"
#include "IfxVadc_Adc_Dmux.h"
#include "IfxVadc_Adc_Group.h"
#include "IfxVadc_Adc_Channel.h"
#include "IfxVadc_Dsadc.h"
#include "IfxVadc_Dsadc_Dsadc.h"
#include "IfxVadc_Dsadc_AnalogWatchdog.h"
#include "IfxVadc_Dsadc_Cout.h"
#include "IfxVadc_Dsadc_Sample.h"
#include "IfxVadc_Dsadc_Reg.h"
#include "IfxVadc_Dsadc_PinMap.h"
#include "IfxVadc_Dsadc_cfg.h"
#include "IfxVadc_Dsadc_Dsadc.h"
#include "IfxVadc_Dsadc_Reg.h"
#include "IfxVadc_Dsadc_pinmap.h"
#include "IfxVadc_Dsadc.h"
#include "IfxVadc_Dsadc_cfg.h"
#include "IfxVadc_Dsadc.h"
#include "IfxVadc_Dsadc_PinMap.h"
#include "IfxVadc_Dsadc_Dsadc.h"
#include "IfxVadc_Dsadc_Reg.h"
#include "IfxVadc_Dsadc_pinmap.h"
#define SAMPLES 1000
float32 x[SAMPLES];
float32 y[SAMPLES];
float32 z[SAMPLES];
float32 x_avg, y_avg, z_avg;
float32 x_var, y_var, z_var;
float32 x_std, y_std, z_std;
float32 x_min, y_min, z_min;
float32 x_max, y_max, z_max;
IfxVadc_Adc vadc;
void init_vadc(void)
{
IfxVadc_Adc_Config adc_cfg;
IfxVadc_Adc_initModuleConfig(&adc_cfg, &MODULE_VADC);
IfxVadc_Adc_initModule(&vadc, &adc_cfg);
IfxVadc_Adc_CalibrationState state;
IfxVadc_Adc_autoCalibrate(&vadc, &state);
}
void read_accelerometer_data(void)
{
uint16 i;
float32 x_sum = 0.0;
float32 y_sum = 0.0;
float32 z_sum = 0.0;
for (i = 0; i < SAMPLES; i++)
{
// Read the X, Y and Z axis data from the accelerometer
x[i] = read_x_axis_data();
y[i] = read_y_axis_data();
z[i] = read_z_axis_data();
// Calculate the sum of each axis data
x_sum += x[i];
y_sum += y[i];
z_sum += z[i];
}
// Calculate the average of each axis data
x_avg = x_sum / SAMPLES;
y_avg = y_sum / SAMPLES;
z_avg = z_sum / SAMPLES;
// Calculate the variance of each axis data
x_var = 0.0;
y_var = 0.0;
z_var = 0.0;
for (i = 0; i < SAMPLES; i++)
{
x_var += (x[i] - x_avg) * (x[i] - x_avg);
y_var += (y[i] - y_avg) * (y[i] - y_avg);
z_var += (z[i] - z_avg) * (z[i] - z_avg);
}
x_var /= SAMPLES;
y_var /= SAMPLES;
z_var /= SAMPLES;
// Calculate the standard deviation of each axis data
x_std = sqrt(x_var);
y_std = sqrt(y_var);
z_std = sqrt(z_var);
// Calculate the minimum and maximum of each axis data
x_min = x[0];
y_min = y[0];
z_min = z[0];
x_max = x[0];
y_max = y[0];
z_max = z[0];
for (i = 1; i < SAMPLES; i++)
{
if (x[i] < x_min)
{
x_min = x[i];
}
if (y[i] < y_min)
{
y_min = y[i];
}
if (z[i] < z_min)
{
z_min = z[i];
}
if (x[i] > x_max)
{
x_max = x[i];
}
if (y[i] > y_max)
{
y_max = y[i];
}
if (z[i] > z_max)
{
z_max = z[i];
}
}
}
int main(void)
{
init_vadc();
while (1)
{
read_accelerometer_data();
// Do calibration of the accelerometer using the data obtained
// from the read_accelerometer_data() function
calibrate_accelerometer();
// Do other stuff here
}
return 0;
}
```
这里只是一个简单的示例,具体的实现需要根据你的具体硬件和加速度计型号进行修改。
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