开源MicroPython飞控

原创 云深之无迹 2021-11-21 17:47


起点亦是终点,世间有轮回,相似又不相同。就像书里写的那样。江湖因一声“小二上酒”开始,最后也因一杯绿蚁戛然而止。生活,也是如此吧?


飞控不是一下做出来的,下面是一些重要传感器的mpy驱动代码,为飞控项目添砖加瓦。


from pyb import Pinfrom time import sleep_us,ticks_us
class HC(): def __init__(self,trig='C5',echo='C4'): self.trig = Pin(trig, Pin.OUT_PP) self.echo = Pin(echo, Pin.IN)
def trigUp(self): self.trig.value(1) sleep_us(25) self.trig.value(0)
def getlen(self): distance = 0 self.trigUp() while self.echo.value() == 0: pass ts = ticks_us() # 开始时间 while self.echo.value() == 1: pass te = ticks_us() # 结束时间 tc = te - ts # 回响时间(单位us) distance = (tc * 170) / 10000 # 距离计算(单位为:cm) return distance


超声波传感器


'''参考:https://blog.csdn.net/qq_38721302/article/details/83095545'''
MPU_ADDR=0X68WHO_AM_I_VAL = MPU_ADDR

MPU_PWR_MGMT1_REG = 0x6B # 电源管理寄存器1MPU_GYRO_CFG_REG = 0X1B # 陀螺仪配置寄存器MPU_ACCEL_CFG_REG = 0X1C # 加速度传感器配置寄存器MPU_SAMPLE_RATE_REG=0X19 # 设置MPU6050的采样率MPU_CFG_REG=0X1A # 配置寄存器
MPU_INT_EN_REG=0X38MPU_USER_CTRL_REG=0X6AMPU_FIFO_EN_REG=0X23MPU_INTBP_CFG_REG=0X37MPU_DEVICE_ID_REG=0X75
MPU_GYRO_XOUTH_REG=0X43MPU_GYRO_XOUTL_REG=0X44MPU_GYRO_YOUTH_REG=0X45MPU_GYRO_YOUTL_REG=0X46MPU_GYRO_ZOUTH_REG=0X47MPU_GYRO_ZOUTL_REG=0X48
MPU_ACCEL_XOUTH_REG=0X3BMPU_ACCEL_XOUTL_REG=0X3CMPU_ACCEL_YOUTH_REG=0X3DMPU_ACCEL_YOUTL_REG=0X3EMPU_ACCEL_ZOUTH_REG=0X3FMPU_ACCEL_ZOUTL_REG=0X40MPU_TEMP_OUTH_REG=0X41MPU_TEMP_OUTL_REG=0X42

config_gyro_range = 3 # 0,±250°/S;1,±500°/S;2,±1000°/S;3,±2000°/Sconfig_accel_range = 0# 0,±2g;1,±4g;2,±8g;3,±16g
class MPU6050(): def __init__(self,iicbus,address=WHO_AM_I_VAL): self._address = address self._bus = iicbus self.reset() def _write_byte(self,cmd,val): self._bus.mem_write(val,self._address,cmd) def _read_byte(self,cmd): buf = self._bus.mem_read(1,self._address,cmd,addr_size=8) return int(buf[0]) def reset(self): self._write_byte(MPU_PWR_MGMT1_REG, 0x00) # 配置电源管理寄存器 启动MPU6050 self._write_byte(MPU_GYRO_CFG_REG, config_gyro_range<<3) # 陀螺仪传感器,±2000dps self._write_byte(MPU_ACCEL_CFG_REG, config_accel_range<<3)# 加速度传感器,±2g self._write_byte(MPU_SAMPLE_RATE_REG, 0x07) # 采样频率 100 self._write_byte(MPU_CFG_REG, 0x06) # 设置数字低通滤波器 self._write_byte(MPU_INT_EN_REG,0X00) #关闭所有中断 self._write_byte(MPU_USER_CTRL_REG,0X00) #I2C主模式关闭 self._write_byte(MPU_FIFO_EN_REG,0X00) #关闭FIFO self._write_byte(MPU_INTBP_CFG_REG,0X80) #INT引脚低电平有效 buf = self._read_byte(MPU_DEVICE_ID_REG) if buf != self._address: print("NPU6050 not found!") else: pass def _read_byte(self,cmd): buf = self._bus.mem_read(1,self._address,cmd,addr_size=8) return int(buf[0]) def _read_u16(self,reg): MSB = self._read_byte(reg) LSB = self._read_byte(reg) return (MSB<< 8) + LSB def _read_s16(self,reg): result = self._read_u16(reg) if result > 32767:result -= 65536 return result
def read_Gyro_x(self): x = self._read_s16(MPU_GYRO_XOUTH_REG) return x def read_Gyro_y(self): y = self._read_s16(MPU_GYRO_YOUTH_REG) return y def read_Gyro_z(self): z = self._read_s16(MPU_GYRO_ZOUTH_REG) return z
def read_Accel_x(self): x = self._read_s16(MPU_ACCEL_XOUTH_REG) return x def read_Accel_y(self): y = self._read_s16(MPU_ACCEL_YOUTH_REG) return y def read_Accel_z(self): z = self._read_s16(MPU_ACCEL_ZOUTH_REG) return z
def read_Temp(self): temp = self._read_s16(MPU_TEMP_OUTH_REG) return temp

from pyb import I2C
i2c = I2C(2, I2C.MASTER)mpu = MPU6050(i2c)
def GyroToDegree(num): return num / 32768 * 2000
def AccelToGram(num): return num / 32768 * 2


MPU6050


from imu import InvenSenseMPU, bytes_toint, MPUExceptionfrom imu import Vector3d

class MPU9250(InvenSenseMPU): ''' MPU9250 constructor arguments 1. side_str 'X' or 'Y' depending on the Pyboard I2C interface being used 2. optional device_addr 0, 1 depending on the voltage applied to pin AD0 (Drotek default is 1) if None driver will scan for a device (if one device only is on bus) 3, 4. transposition, scaling optional 3-tuples allowing for outputs to be based on vehicle coordinates rather than those of the sensor itself. See readme. '''
_mpu_addr = (104, 105) # addresses of MPU9250 determined by voltage on pin AD0 _mag_addr = 12 # Magnetometer address _chip_id = 113
def __init__(self, side_str, device_addr=None, transposition=(0, 1, 2), scaling=(1, 1, 1)):
super().__init__(side_str, device_addr, transposition, scaling) self._mag = Vector3d(transposition, scaling, self._mag_callback) self.accel_filter_range = 0 # fast filtered response self.gyro_filter_range = 0 self._mag_stale_count = 0 # MPU9250 count of consecutive reads where old data was returned self.mag_correction = self._magsetup() # 16 bit, 100Hz update.Return correction factors. self._mag_callback() # Seems neccessary to kick the mag off else 1st reading is zero (?)
@property def sensors(self): ''' returns sensor objects accel, gyro and mag ''' return self._accel, self._gyro, self._mag
# get temperature @property def temperature(self): ''' Returns the temperature in degree C. ''' try: self._read(self.buf2, 0x41, self.mpu_addr) except OSError: raise MPUException(self._I2Cerror) return bytes_toint(self.buf2[0], self.buf2[1])/333.87 + 21 # I think
# Low pass filters @property def gyro_filter_range(self): ''' Returns the gyro and temperature sensor low pass filter cutoff frequency Pass: 0 1 2 3 4 5 6 7 Cutoff (Hz): 250 184 92 41 20 10 5 3600 Sample rate (KHz): 8 1 1 1 1 1 1 8 ''' try: self._read(self.buf1, 0x1A, self.mpu_addr) res = self.buf1[0] & 7 except OSError: raise MPUException(self._I2Cerror) return res
@gyro_filter_range.setter def gyro_filter_range(self, filt): ''' Sets the gyro and temperature sensor low pass filter cutoff frequency Pass: 0 1 2 3 4 5 6 7 Cutoff (Hz): 250 184 92 41 20 10 5 3600 Sample rate (KHz): 8 1 1 1 1 1 1 8 ''' if filt in range(8): try: self._write(filt, 0x1A, self.mpu_addr) except OSError: raise MPUException(self._I2Cerror) else: raise ValueError('Filter coefficient must be between 0 and 7')
@property def accel_filter_range(self): ''' Returns the accel low pass filter cutoff frequency Pass: 0 1 2 3 4 5 6 7 BEWARE 7 doesn't work on device I tried. Cutoff (Hz): 460 184 92 41 20 10 5 460 Sample rate (KHz): 1 1 1 1 1 1 1 1 ''' try: self._read(self.buf1, 0x1D, self.mpu_addr) res = self.buf1[0] & 7 except OSError: raise MPUException(self._I2Cerror) return res
@accel_filter_range.setter def accel_filter_range(self, filt): ''' Sets the accel low pass filter cutoff frequency Pass: 0 1 2 3 4 5 6 7 BEWARE 7 doesn't work on device I tried. Cutoff (Hz): 460 184 92 41 20 10 5 460 Sample rate (KHz): 1 1 1 1 1 1 1 1 ''' if filt in range(8): try: self._write(filt, 0x1D, self.mpu_addr) except OSError: raise MPUException(self._I2Cerror) else: raise ValueError('Filter coefficient must be between 0 and 7')
def _magsetup(self): # mode 2 100Hz continuous reads, 16 bit ''' Magnetometer initialisation: use 16 bit continuous mode. Mode 1 is 8Hz mode 2 is 100Hz repetition returns correction values ''' try: self._write(0x0F, 0x0A, self._mag_addr) # fuse ROM access mode self._read(self.buf3, 0x10, self._mag_addr) # Correction values self._write(0, 0x0A, self._mag_addr) # Power down mode (AK8963 manual 6.4.6) self._write(0x16, 0x0A, self._mag_addr) # 16 bit (0.15uT/LSB not 0.015), mode 2 except OSError: raise MPUException(self._I2Cerror) mag_x = (0.5*(self.buf3[0] - 128))/128 + 1 mag_y = (0.5*(self.buf3[1] - 128))/128 + 1 mag_z = (0.5*(self.buf3[2] - 128))/128 + 1 return (mag_x, mag_y, mag_z)
@property def mag(self): ''' Magnetomerte object ''' return self._mag
def _mag_callback(self): ''' Update magnetometer Vector3d object (if data available) ''' try: # If read fails, returns last valid data and self._read(self.buf1, 0x02, self._mag_addr) # increments mag_stale_count if self.buf1[0] & 1 == 0: return self._mag # Data not ready: return last value self._read(self.buf6, 0x03, self._mag_addr) self._read(self.buf1, 0x09, self._mag_addr) except OSError: raise MPUException(self._I2Cerror) if self.buf1[0] & 0x08 > 0: # An overflow has occurred self._mag_stale_count += 1 # Error conditions retain last good value return # user should check for ever increasing stale_counts self._mag._ivector[1] = bytes_toint(self.buf6[1], self.buf6[0]) # Note axis twiddling and little endian self._mag._ivector[0] = bytes_toint(self.buf6[3], self.buf6[2]) self._mag._ivector[2] = -bytes_toint(self.buf6[5], self.buf6[4]) scale = 0.15 # scale is 0.15uT/LSB self._mag._vector[0] = self._mag._ivector[0]*self.mag_correction[0]*scale self._mag._vector[1] = self._mag._ivector[1]*self.mag_correction[1]*scale self._mag._vector[2] = self._mag._ivector[2]*self.mag_correction[2]*scale self._mag_stale_count = 0
@property def mag_stale_count(self): ''' Number of consecutive times where old data was returned ''' return self._mag_stale_count
def get_mag_irq(self): ''' Uncorrected values because floating point uses heap ''' self._read(self.buf1, 0x02, self._mag_addr) if self.buf1[0] == 1: # Data is ready self._read(self.buf6, 0x03, self._mag_addr) self._read(self.buf1, 0x09, self._mag_addr) # Mandatory status2 read self._mag._ivector[1] = 0 if self.buf1[0] & 0x08 == 0: # No overflow has occurred self._mag._ivector[1] = bytes_toint(self.buf6[1], self.buf6[0]) self._mag._ivector[0] = bytes_toint(self.buf6[3], self.buf6[2]) self._mag._ivector[2] = -bytes_toint(self.buf6[5], self.buf6[4])


MPU9250



I2C接线图


使用MPU6050 Yaw轴会不可避免的飘动,MPU9250自带磁力计,可以减少飘动。


# 控制电机函数
from pyb import Timer,Pin,ADCimport time
class Motor(): # 电机pwm初始化 def __init__(self,isInit=False): timerMotor_1 = Timer(3, freq=50) timerMotor_2 = Timer(4, freq=50) self.motor1 = timerMotor_1.channel(1, Timer.PWM, pin=Pin('B4')) self.motor2 = timerMotor_1.channel(2, Timer.PWM, pin=Pin('B5')) self.motor3 = timerMotor_2.channel(3, Timer.PWM, pin=Pin('B8')) self.motor4 = timerMotor_2.channel(4, Timer.PWM, pin=Pin('B9')) self.motors = [self.motor1,self.motor2,self.motor3,self.motor4] # self.x = ADC(Pin('X2')) # self.btn_stop = Pin('X4',Pin.IN) if not isInit: for moto in self.motors: self.MotoSet(moto) time.sleep(1) self.MotosPwmUpdate([0,0,0,0]) # 电机初始化 设置最高油门和最低油门 def MotoSet(self,moto): moto.pulse_width_percent(10) time.sleep(2) moto.pulse_width_percent(5)
# pwm 更新函数 1 # 可以用于调试单个电机 def MotoPwmUpdate(self,n,pwm): if pwm < 0 or pwm > 100: return None self.motors[n].pulse_width_percent(5 + pwm*5/100)
# pwm 更新函数 2 # 用于实际飞行 def MotosPwmUpdate(self,pwms): for moto,pwm in zip(self.motors,pwms): moto.pulse_width_percent(5 + pwm*5/100)
# 电机停止转动 # 用于紧急制动和测试 def MotoStop(self): for moto in self.motors: moto.pulse_width_percent(5)


电调控制,PWM实现


然后就是PWM的接收机太费引脚,换PPM,问题在于转换~


上面是PPM

下面是PWM



标准的PPM信号,以0.4ms的低电平为起始标识。后边以电平的上升沿的间隔时间来表达各个通道的控制量。一般排列10个上升沿后,电平保持高电平,直到重复下一个PPM信号。


PPM信号可以看做是一帧数据,它包含了8个通道的信息。每个上升沿间隔时间刚好等于PWM信号的高电平持续时间,也就1000us~2000us之间。

PPM的重复周期也为20ms,也是50hz的刷新频率。


import pybimport micropythonmicropython.alloc_emergency_exception_buf(100)
# Futaba PPM decoder# http://diydrones.com/profiles/blogs/705844:BlogPost:38393class Decoder():
def __init__(self, pin: str): self.pin = pin self.current_channel = -1 self.channels = [0] * 20 # up to 10 channels self.timer = pyb.Timer(2, prescaler=83, period=0x3fffffff) self.timer.counter(0) # clear any previously set interrupt pyb.ExtInt(pin, pyb.ExtInt.IRQ_RISING, pyb.Pin.PULL_NONE, None) self.ext_int = pyb.ExtInt(pin, pyb.ExtInt.IRQ_RISING, pyb.Pin.PULL_NONE, self._callback)
def _callback(self, t): ticks = self.timer.counter() if ticks > 5000: self.current_channel = 0 elif self.current_channel > -1: self.channels[self.current_channel] = ticks self.current_channel += 1 self.timer.counter(0)
def get_channel_value(self, channel: int) -> int: return self.channels[channel]
def enable(self): self.ext_int.enable()
def disable(self):        self.ext_int.disable()


PPM驱动代码



# 匿名上位机 移植上位机、协议版本v4.34# 移植部分功能# 关闭了数据的校验功能,提高发送速度class ANO():    def  __init__(self,uart):        self.writechar = uart.writechar        self.BYTE0 = lambda x : (x>>0)&0xff        self.BYTE1 = lambda x : (x>>8)&0xff        self.BYTE2 = lambda x : (x>>16)&0xff        self.BYTE3 = lambda x : (x>>24)&0xff        pass
# 发送数据 def ANO_Send_Data(self,data): for v in data: self.writechar(v)
#send 数据 def cs(self,data_to_send): _cnt = len(data_to_send) data_to_send[3] = _cnt - 4 data_to_send.append(0) # 需要校验功能的将这一行改了就行 self.ANO_Send_Data(data_to_send)
# 飞机姿态 高度 飞行模式 是否解锁 def ANO_DT_Send_Status(self,angle_rol, angle_pit, angle_yaw, alt, fly_model, armed):

_cnt = 0 _temp = 0 _temp2 = alt data_to_send = [] data_to_send.append(0xAA) data_to_send.append(0xAA) data_to_send.append(0x01) data_to_send.append(0)
_temp = int(angle_rol * 100) data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = int(angle_pit * 100) data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = int(angle_yaw * 100) data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
data_to_send.append(self.BYTE3(_temp2)) data_to_send.append(self.BYTE2(_temp2)) data_to_send.append(self.BYTE1(_temp2)) data_to_send.append(self.BYTE0(_temp2))
data_to_send.append(fly_model)
data_to_send.append(armed) self.cs(data_to_send)
# PID信息 def ANO_DT_Send_PID(self,group, p1_p, p1_i, p1_d, p2_p, p2_i, p2_d, p3_p, p3_i, p3_d): _cnt = 0 _temp = 0 data_to_send = [] data_to_send.append(0xAA) data_to_send.append(0xAA) data_to_send.append(0x10 + group -1) data_to_send.append(0)
_temp = p1_p * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p1_i * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p1_d * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
_temp = p2_p * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p2_i * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p2_d * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
_temp = p3_p * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p3_i * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = p3_d * 1000 data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
self.cs(data_to_send)
# 传感器数据 def ANO_DT_Send_Senser(self,a_x, a_y, a_z, g_x, g_y, g_z, m_x, m_y, m_z): _cnt = 0 _temp = 0 data_to_send = [] data_to_send.append(0xAA) data_to_send.append(0xAA) data_to_send.append(0x02) data_to_send.append(0)
_temp = a_x data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = a_y data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = a_z data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
_temp = g_x data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = g_y data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = g_z data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
_temp = m_x data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = m_y data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp)) _temp = m_z data_to_send.append(self.BYTE1(_temp)) data_to_send.append(self.BYTE0(_temp))
self.cs(data_to_send)
# 电机pwm数据 0-1000 def ANO_DT_Send_MotoPWM(self, m_1, m_2, m_3, m_4, m_5, m_6, m_7, m_8): _cnt = 0
data_to_send = [] data_to_send.append(0xAA) data_to_send.append(0xAA) data_to_send.append(0x06) data_to_send.append(0)
data_to_send.append(self.BYTE1(m_1)) data_to_send.append(self.BYTE0(m_1)) data_to_send.append(self.BYTE1(m_2)) data_to_send.append(self.BYTE0(m_2)) data_to_send.append(self.BYTE1(m_3)) data_to_send.append(self.BYTE0(m_3)) data_to_send.append(self.BYTE1(m_4)) data_to_send.append(self.BYTE0(m_4)) data_to_send.append(self.BYTE1(m_5)) data_to_send.append(self.BYTE0(m_5)) data_to_send.append(self.BYTE1(m_6)) data_to_send.append(self.BYTE0(m_6)) data_to_send.append(self.BYTE1(m_7)) data_to_send.append(self.BYTE0(m_7)) data_to_send.append(self.BYTE1(m_8)) data_to_send.append(self.BYTE0(m_8))
        self.cs(data_to_send)


匿名上位机若干协议移植,2.4G控制


下面是个相似的项目:


  • 惯性测量单元 (IMU)

  • SBUS接口(用于连接SBUS RC接收器)



就是这么简单的东西。。。




airPy 代码

airPy代码分为3个模块:

  • airPy 固件:运行在 pyboard 上的 python 代码

  • airPy 地面站:在 PC 上运行的 JavaFx 代码,用于配置/调整 airPy 板

  • airPy Link Protocol:用于板卡与地面站通信的串行协议


airPy Link Protocol目前仅用于配置和调整目的。

它是一种可变大小的串行协议,用于 pyboard 和地面站之间的数据通信。

这个想法是不仅在 USB 上而且在 Wi-fi、蓝牙和 ad hoc RF 通道(例如 433MHz)上使用这个协议。


每个 APLINK 消息都包含一个标头和一个可变大小的有效负载(取决于内容),如以下架构中所指定。












参考文章:


https://github.com/micropython-IMU/micropython-mpu9x50

microPython-MPU9x50驱动

https://www.jianshu.com/u/38cc558a2c62

micropython驱动的移植者

https://blog.csdn.net/qq_38721302/article/details/83095545

STM32 驱动MPU6050(使用了本文的寄存器定义)

https://github.com/Sokrates80/air-py

特别的,有一个microPython的飞控开源项目了,减少了我的工作量。

https://github.com/Sokrates80/airPy-GS

相应搭配的地面站

https://github.com/micropython-IMU/micropython-fusion

MicroPython 的单个平台上获取传感器数据并执行融合的情况

https://github.com/wagnerc4/flight_controller

另外一个完整的项目

https://github.com/ArduPilot/ardupilot

pid参考了这里,APM飞控

http://www.air-py.com/

相关网站

开源的mpy飞控系统



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    youyeye 2024-12-11 17:58 87浏览
  • 本文介绍瑞芯微RK3588主板/开发板Android12系统下,APK签名文件生成方法。触觉智能EVB3588开发板演示,搭载了瑞芯微RK3588芯片,该开发板是核心板加底板设计,音视频接口、通信接口等各类接口一应俱全,可帮助企业提高产品开发效率,缩短上市时间,降低成本和设计风险。工具准备下载Keytool-ImportKeyPair工具在源码:build/target/product/security/系统初始签名文件目录中,将以下三个文件拷贝出来:platform.pem;platform.
    Industio_触觉智能 2024-12-12 10:27 71浏览
  • 铁氧体芯片是一种基于铁氧体磁性材料制成的芯片,在通信、传感器、储能等领域有着广泛的应用。铁氧体磁性材料能够通过外加磁场调控其导电性质和反射性质,因此在信号处理和传感器技术方面有着独特的优势。以下是对半导体划片机在铁氧体划切领域应用的详细阐述: 一、半导体划片机的工作原理与特点半导体划片机是一种使用刀片或通过激光等方式高精度切割被加工物的装置,是半导体后道封测中晶圆切割和WLP切割环节的关键设备。它结合了水气电、空气静压高速主轴、精密机械传动、传感器及自动化控制等先进技术,具有高精度、高
    博捷芯划片机 2024-12-12 09:16 86浏览
  • 一、SAE J1939协议概述SAE J1939协议是由美国汽车工程师协会(SAE,Society of Automotive Engineers)定义的一种用于重型车辆和工业设备中的通信协议,主要应用于车辆和设备之间的实时数据交换。J1939基于CAN(Controller Area Network)总线技术,使用29bit的扩展标识符和扩展数据帧,CAN通信速率为250Kbps,用于车载电子控制单元(ECU)之间的通信和控制。小北同学在之前也对J1939协议做过扫盲科普【科普系列】SAE J
    北汇信息 2024-12-11 15:45 113浏览
  • 全球智能电视时代来临这年头若是消费者想随意地从各个通路中选购电视时,不难发现目前市场上的产品都已是具有智能联网功能的智能电视了,可以宣告智能电视的普及时代已到临!Google从2021年开始大力推广Google TV(即原Android TV的升级版),其他各大品牌商也都跟进推出搭载Google TV操作系统的机种,除了Google TV外,LG、Samsung、Panasonic等大厂牌也开发出自家的智能电视平台,可以看出各家业者都一致地看好这块大饼。智能电视的Wi-Fi连线怎么消失了?智能电
    百佳泰测试实验室 2024-12-12 17:33 56浏览
  • 应用环境与极具挑战性的测试需求在服务器制造领域里,系统整合测试(System Integration Test;SIT)是确保产品质量和性能的关键步骤。随着服务器系统的复杂性不断提升,包括:多种硬件组件、操作系统、虚拟化平台以及各种应用程序和服务的整合,服务器制造商面临着更有挑战性的测试需求。这些挑战主要体现在以下五个方面:1. 硬件和软件的高度整合:现代服务器通常包括多个处理器、内存模块、储存设备和网络接口。这些硬件组件必须与操作系统及应用软件无缝整合。SIT测试可以帮助制造商确保这些不同组件
    百佳泰测试实验室 2024-12-12 17:45 63浏览
  • 习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习笔记&记录学习习笔记&记学习学习笔记&记录学习学习笔记&记录学习习笔记&记录学习学习笔记&记录学习学习笔记记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记录学习学习笔记&记
    youyeye 2024-12-12 10:13 42浏览
  • 在智能化技术快速发展当下,图像数据的采集与处理逐渐成为自动驾驶、工业等领域的一项关键技术。高质量的图像数据采集与算法集成测试都是确保系统性能和可靠性的关键。随着技术的不断进步,对于图像数据的采集、处理和分析的需求日益增长,这不仅要求我们拥有高性能的相机硬件,还要求我们能够高效地集成和测试各种算法。我们探索了一种多源相机数据采集与算法集成测试方案,能够满足不同应用场景下对图像采集和算法测试的多样化需求,确保数据的准确性和算法的有效性。一、相机组成相机一般由镜头(Lens),图像传感器(Image
    康谋 2024-12-12 09:45 78浏览
  • 首先在gitee上打个广告:ad5d2f3b647444a88b6f7f9555fd681f.mp4 · 丙丁先生/香河英茂工作室中国 - Gitee.com丙丁先生 (mr-bingding) - Gitee.com2024年对我来说是充满挑战和机遇的一年。在这一年里,我不仅进行了多个开发板的测评,还尝试了多种不同的项目和技术。今天,我想分享一下这一年的故事,希望能给大家带来一些启发和乐趣。 年初的时候,我开始对各种开发板进行测评。从STM32WBA55CG到瑞萨、平头哥和平海的开发板,我都
    丙丁先生 2024-12-11 20:14 75浏览
  • 时源芯微——RE超标整机定位与解决详细流程一、 初步测量与问题确认使用专业的电磁辐射测量设备,对整机的辐射发射进行精确测量。确认是否存在RE超标问题,并记录超标频段和幅度。二、电缆检查与处理若存在信号电缆:步骤一:拔掉所有信号电缆,仅保留电源线,再次测量整机的辐射发射。若测量合格:判定问题出在信号电缆上,可能是电缆的共模电流导致。逐一连接信号电缆,每次连接后测量,定位具体哪根电缆或接口导致超标。对问题电缆进行处理,如加共模扼流圈、滤波器,或优化电缆布局和屏蔽。重新连接所有电缆,再次测量
    时源芯微 2024-12-11 17:11 109浏览
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