kopia lustrzana https://github.com/micropython/micropython
168 wiersze
7.9 KiB
ReStructuredText
168 wiersze
7.9 KiB
ReStructuredText
.. currentmodule:: pyb
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.. _pyb.ADC:
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class ADC -- analog to digital conversion
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=========================================
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Usage::
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import pyb
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adc = pyb.ADC(pin) # create an analog object from a pin
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val = adc.read() # read an analog value
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adc = pyb.ADCAll(resolution) # create an ADCAll object
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adc = pyb.ADCAll(resolution, mask) # create an ADCAll object for selected analog channels
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val = adc.read_channel(channel) # read the given channel
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val = adc.read_core_temp() # read MCU temperature
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val = adc.read_core_vbat() # read MCU VBAT
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val = adc.read_core_vref() # read MCU VREF
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val = adc.read_vref() # read MCU supply voltage
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Constructors
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------------
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.. class:: ADC(pin)
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Create an ADC object associated with the given pin.
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This allows you to then read analog values on that pin.
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Methods
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-------
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.. method:: ADC.read()
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Read the value on the analog pin and return it. The returned value
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will be between 0 and 4095.
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.. method:: ADC.read_timed(buf, timer)
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Read analog values into ``buf`` at a rate set by the ``timer`` object.
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``buf`` can be bytearray or array.array for example. The ADC values have
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12-bit resolution and are stored directly into ``buf`` if its element size is
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16 bits or greater. If ``buf`` has only 8-bit elements (eg a bytearray) then
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the sample resolution will be reduced to 8 bits.
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``timer`` should be a Timer object, and a sample is read each time the timer
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triggers. The timer must already be initialised and running at the desired
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sampling frequency.
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To support previous behaviour of this function, ``timer`` can also be an
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integer which specifies the frequency (in Hz) to sample at. In this case
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Timer(6) will be automatically configured to run at the given frequency.
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Example using a Timer object (preferred way)::
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adc = pyb.ADC(pyb.Pin.board.X19) # create an ADC on pin X19
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tim = pyb.Timer(6, freq=10) # create a timer running at 10Hz
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buf = bytearray(100) # creat a buffer to store the samples
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adc.read_timed(buf, tim) # sample 100 values, taking 10s
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Example using an integer for the frequency::
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adc = pyb.ADC(pyb.Pin.board.X19) # create an ADC on pin X19
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buf = bytearray(100) # create a buffer of 100 bytes
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adc.read_timed(buf, 10) # read analog values into buf at 10Hz
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# this will take 10 seconds to finish
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for val in buf: # loop over all values
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print(val) # print the value out
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This function does not allocate any heap memory. It has blocking behaviour:
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it does not return to the calling program until the buffer is full.
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.. method:: ADC.read_timed_multi((adcx, adcy, ...), (bufx, bufy, ...), timer)
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This is a static method. It can be used to extract relative timing or
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phase data from multiple ADC's.
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It reads analog values from multiple ADC's into buffers at a rate set by
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the *timer* object. Each time the timer triggers a sample is rapidly
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read from each ADC in turn.
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ADC and buffer instances are passed in tuples with each ADC having an
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associated buffer. All buffers must be of the same type and length and
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the number of buffers must equal the number of ADC's.
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Buffers can be ``bytearray`` or ``array.array`` for example. The ADC values
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have 12-bit resolution and are stored directly into the buffer if its element
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size is 16 bits or greater. If buffers have only 8-bit elements (eg a
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``bytearray``) then the sample resolution will be reduced to 8 bits.
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*timer* must be a Timer object. The timer must already be initialised
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and running at the desired sampling frequency.
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Example reading 3 ADC's::
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adc0 = pyb.ADC(pyb.Pin.board.X1) # Create ADC's
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adc1 = pyb.ADC(pyb.Pin.board.X2)
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adc2 = pyb.ADC(pyb.Pin.board.X3)
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tim = pyb.Timer(8, freq=100) # Create timer
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rx0 = array.array('H', (0 for i in range(100))) # ADC buffers of
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rx1 = array.array('H', (0 for i in range(100))) # 100 16-bit words
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rx2 = array.array('H', (0 for i in range(100)))
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# read analog values into buffers at 100Hz (takes one second)
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pyb.ADC.read_timed_multi((adc0, adc1, adc2), (rx0, rx1, rx2), tim)
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for n in range(len(rx0)):
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print(rx0[n], rx1[n], rx2[n])
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This function does not allocate any heap memory. It has blocking behaviour:
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it does not return to the calling program until the buffers are full.
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The function returns ``True`` if all samples were acquired with correct
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timing. At high sample rates the time taken to acquire a set of samples
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can exceed the timer period. In this case the function returns ``False``,
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indicating a loss of precision in the sample interval. In extreme cases
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samples may be missed.
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The maximum rate depends on factors including the data width and the
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number of ADC's being read. In testing two ADC's were sampled at a timer
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rate of 210kHz without overrun. Samples were missed at 215kHz. For three
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ADC's the limit is around 140kHz, and for four it is around 110kHz.
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At high sample rates disabling interrupts for the duration can reduce the
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risk of sporadic data loss.
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The ADCAll Object
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-----------------
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Instantiating this changes all masked ADC pins to analog inputs. The preprocessed MCU temperature,
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VREF and VBAT data can be accessed on ADC channels 16, 17 and 18 respectively.
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Appropriate scaling is handled according to reference voltage used (usually 3.3V).
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The temperature sensor on the chip is factory calibrated and allows to read the die temperature
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to +/- 1 degree centigrade. Although this sounds pretty accurate, don't forget that the MCU's internal
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temperature is measured. Depending on processing loads and I/O subsystems active the die temperature
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may easily be tens of degrees above ambient temperature. On the other hand a pyboard woken up after a
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long standby period will show correct ambient temperature within limits mentioned above.
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The ``ADCAll`` ``read_core_vbat()``, ``read_vref()`` and ``read_core_vref()`` methods read
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the backup battery voltage, reference voltage and the (1.21V nominal) reference voltage using the
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actual supply as a reference. All results are floating point numbers giving direct voltage values.
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``read_core_vbat()`` returns the voltage of the backup battery. This voltage is also adjusted according
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to the actual supply voltage. To avoid analog input overload the battery voltage is measured
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via a voltage divider and scaled according to the divider value. To prevent excessive loads
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to the backup battery, the voltage divider is only active during ADC conversion.
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``read_vref()`` is evaluated by measuring the internal voltage reference and backscale it using
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factory calibration value of the internal voltage reference. In most cases the reading would be close
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to 3.3V. If the pyboard is operated from a battery, the supply voltage may drop to values below 3.3V.
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The pyboard will still operate fine as long as the operating conditions are met. With proper settings
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of MCU clock, flash access speed and programming mode it is possible to run the pyboard down to
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2 V and still get useful ADC conversion.
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It is very important to make sure analog input voltages never exceed actual supply voltage.
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Other analog input channels (0..15) will return unscaled integer values according to the selected
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precision.
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To avoid unwanted activation of analog inputs (channel 0..15) a second parameter can be specified.
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This parameter is a binary pattern where each requested analog input has the corresponding bit set.
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The default value is 0xffffffff which means all analog inputs are active. If just the internal
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channels (16..18) are required, the mask value should be 0x70000.
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Example::
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adcall = pyb.ADCAll(12, 0x70000) # 12 bit resolution, internal channels
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temp = adcall.read_core_temp()
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