I am using the readstream interface to sample at 100hz, I have been able to integrate the interface into Oscilloscope application. I just have a doubt in the way I pass on the buffer value on to the packet to be transmitted . Currently this is how I am doing it :
uint8_t i=0;
event void ReadStream.bufferDone( error_t result,uint16_t* buffer, uint16_t count )
{
if (reading < count )
i++;
local.readings[reading++] = buffer[i];
}
I have defined a buffer size of 50, I am not sure this is the way to do it as I am noticing just one sample per packet even though I have set Nreadings=2.
Also the sampling rate does not seem to be 100 samples/second when I check.I am not doing something right in the way I pass data to the packet to be transmitted.
I think I need to clarify a few things according to your questions and comments.
Reading a single sample from an accelerometer on micaZ motes works as follows:
Turn on the accelerometer.
Wait 17 milliseconds. According to the ADXL202E (the accelerometer) datasheet, startup time is 16.3 ms. This is because this particular hardware is capable of providing first reading not immediately after being powered on, but with some delay. If you decrease this delay, you will likely get a wrong reading, however, the behavior is undefined, so you may sometimes get a correct reading or the result may depend on environment conditions, such as ambient temperature. Changing this 17-ms delay to a lower value is certainly a bad idea.
Read values (in two axes) from the Analog to Digital Converter (ADC), which as an MCU component that converts analog output voltage of the accelerometer to the digital value (an integer). The speed at which ADC can sample is independent from the parameters of the accelerometer: it is another piece of hardware.
Turn off the accelerometer.
This is what happens when you call Read.read() in your code. You see that the maximum frequency at which you can sample is once every 17 ms, that is, 58 samples per second. It may be even a bit smaller because of some overhead from MCU or inaccuracy of timers. This is true when you sample by calling Read.read() in a loop or every fixed interval, because this call itself lasts no less than 17 ms (I mean the delay between the command and the event).
What you may want to do is:
Turn on the accelerometer.
Wait 17 ms.
Perform series of reads.
Turn off the accelerometer.
If you do so, you have one 17-ms delay for a set of samples instead of such delay for each sample. What is important, these steps have nothing to do with the interface you use for performing readings. You may call Read.read() multiple times in your application, however, it cannot be the same implementation of the read command that is already implemented for this accelerometer, because the existing implementation is responsible for turning on and off the accelerometer, and it waits 17 ms before reading each sample. For convenience, you may implement the ReadStream interface instead and call it once in your application.
Moreover, you wrote that ReadStream used a microsecond timer and is independent from the 17-ms settling time of the ADC. That sentence is completely wrong. First of all, you cannot say that an interface uses or does not use a timer. The interface is just a set of commands and events without their definitions. A particular implementation of the interface may use timers. The Read and ReadStream interfaces may be implemented multiple times on different platforms by various hardware components, such as accelerometers, thermometers, hygrometers, magnetometers, and so on. Secondly, the 17-ms settling time refers to the accelerometer, not the ADC. And no matter which interface you use, Read or ReadStream, and which timers a driver uses, milli- or microsecond, the 17-ms delay is always required after powering on the accelerometer. As I mentioned, you probably want to make this delay once per multiple reads instead of once per a single read.
It seems that the TinyOS source code already contains an implementation of the accelerometer driver providing the ReadStream interface which allows you to sample continuously. Look at the AccelXStreamC and AccelYStreamC components (in tos/sensorboards/mts300/).
The ReadStream interface consists of two commands. postBuffer(val_t *buf, uint16_t count) is called to provide a buffer for samples. In the accelerometer driver, val_t is defined as uint16_t. You may post multiple buffers, one by one. This command does not yet start sampling and filling buffers. For that purpose, there is a read(uint32_t usPeriod) command, which directs the device to start filling buffers by sampling with the specified period (in microseconds). When a buffer is full, you get an event bufferDone(error_t result, val_t *buf, uint16_t count) and a component starts filling a next buffer, if any. If there are no buffers left, you get additionally an event readDone(error_t result, uint32_t usActualPeriod), which passes to your application a parameter usActualPeriod, which indicates an actual sampling period and may be different (especially, higher) from a period you requested when calling read due to some hardware constraints.
So the solution is to use the ReadStream interface provided by AccelXStreamC and AccelYStreamC (or maybe some higher-level components that use them) and pass an expected period in microseconds to the read command. If the actual period is lower than one you expect, this means that sampling at higher rate is impossible either due to hardware constraints or because it was not implemented in the ADC driver. In the second case, you may try to fix the driver, although it requires good knowledge of low-level programming. The ADC driver source code for this platform is located in tos/chips/atm128/adc.
Related
I'm currently setting up an AZURE RTOS (ThreadX on STM32), with Ethernet, SPI and ADCs activated.
This STM32 has to pass-through configuration information from time to time, coming from my PC over the Ethernet-Port.
It has to pass these information via SPI to two other STM32, which makes the first STM32 the system-controller / system-interface. This will be a low-priority task, since the activation of the passed configuration will be started by sync-lines, running from the system-controller to the two other STMs.
While doing so, the system-controller has to read-in ADC values constantly and pass them via Ethernet / TCP to my computer.
I've used the ThreadX TCP server example, as given by STM, as a starting point.
From there I've managed to set up three servers on three ports, communicating sucessfully with a python script on my PC (as a first test).
Now come the two great questions:
1)
Since my input signal may contain frequencies up to 2.5 MHz, I want to digitize this signal with the full 5 MSPS (Nyquist), which ADC3 is capable of.
The smallest internally available data-type at full resolution is uint16_t, which makes the data rate work out to be R = 16 * 5 MSPS = 80 MBit/s (worst-case, I bet, there is optimization possible ... e.g. 8 bits resolution, which halves the data-rate ... but this resolution might not be enough ... or 16 bits, and FFT afterwards, which is also sufficient, since I'm mostly interested in energy per frequency band, but initially I wanted to do this on my computer, for best flexibility).
Even if the Ethernet-IF is capable of doing 100MBit/s, the TCP layer of NetXDuo, I bet, is not.
(There is also USB OTG on this board available, but since networked devices are in my opinion more versatile, I prefer using Ethernet ... nevertheless, USB might be a backup solution)
From my measurements, a data-stream transmitted to the uC via TC from within python, and mirrored back within a thread to my PC allows for relatively consistent 20 MBit/s.
... How do I push this speed to a better level?
(I think 20MBit/s is the back-and-forth data-rate, so one-way may be faster)
However. Second question:
2)
The ADC within the STM is capable of storing data via DMA to memory.
There are two callbacks available, one at half-full, one at full buffer state.
My problem is mostly about the way of reading out the DMA and/or triggering the conversion in the first place.
How do you do this the "right" way on a RTOS (such that you don't brake the RT in RTOS)?
I see some options here, what are the pros/cons you can think of?
a) Let the ADC run freely, calling the call-backs at the respective fill-levels, triggering a TCP-transmission whenever one of the call-backs is reached
-> may lead to glitches due to insufficient speed of the TCP layer in my opinion.
b) Let the ADC conversion be triggered by a thread, which is preempted and will later TCP-transmit the data, as soon as the memory-buffer is full
-> may lead to inconsistency in the converted values, since you get burst-style conversions, with gaps in between, while the buffer is read
c) Let a thread trigger each conversion individually
-> A no-go I think, since threads are not triggered that often, to get a decent sample-frequency
d) Let a free-running ADC trigger callbacks, let a thread do the FFT, transmit within another thread the data via TCP
-> May work, but is less flexible, since the data gets crunched within the uC.
--> Are there other ways you can think of / what do you think about the ways I named here?
--> What do you think about question 1)?
Have a nice day!
I want to handle case when my MPU6050 is disconnected and reset. Unfortunately, after reinit MPU6050 shows pitch and roll values as 0 and stabilizes after ~1-2s with right values. I would like to hint DMP by writing last read values before reset. Is it any interface for it?
Btw, no matter I configure LPF with value 5 or 188 - 'issue' still exists.
Solution
Try logging the 16 bytes of memory beginning at D_0_192 (defined in inv_mpu_dmp_motion_driver.c of motion_driver_6.12).
unsigned short buf[16];
mpu_read_mem(D_0_192, 16, buf);
// your chosen method of logging this buffer
Mine looked like this shortly after mpu_set_dmp_state(1):
3fffdfeb 003eb3b6 000d2278 00002f3c
and like this after stabilizing for 15 seconds:
1e246556 386e559d 01b407b2 004d6ad9
If my MPU6050-using device starts upside-down, it takes about this long for the readings to stabilize.
After the readings have stabilized, record the value as a constant and write it back to the same location when DMP setup happens:
mpu_write_mem(D_0_192, 16, buf);
Method
I logged the contents of some of the DMP's mentioned but unreferenced/undocumented registers in inv_mpu_dmp_motion_driver.c figuring that they probably expose this part of DMP state somewhere. I did this after a call to mpu_set_dmp_state(1).
I found a number of values that change while the DMP is running. D_0_192, which I believe to be the internal state corresponding to attitude was identifiable by its sluggish relaxation time. I haven't taken the time to interpret the contents. I have only copied the buffer and observed the intended result -- that the contents of the DMP fifo begin at the recorded attitude.
Disclaimer
This is undocumented, potentially very wrong, and certainly brittle (untested on anything other than the DMP firmware blob included in motion_driver_6.12). Use at your own risk.
I have been using the Teensy 3.6 microcontroller board (180 MHz ARM Cortex-M4 processor) to try and implement a driver for a sensor. The sensor is controlled over SPI and when it is commanded to make a measurement, it sends out the data over two lines, DOUT and PCLK. PCLK is a 5 MHz clock signal and the bits are sent over DOUT, measured on the falling edges of the PCLK signal. The data frame itself consists of 1,024 16-bit values.
My first attempt consisted a relatively naïve approach: I attached an interrupt to the PCLK pin looking for falling edges. When it detects a falling edge, it sets a bool that a new bit is available and sets another bool to the value of the DOUT line. The main loop of the program generates a uint_16 value from these bits and collects 1,024 of these values for the full measurement frame.
However, this program locks up the Teensy almost immediately. From my experiments, it seems to lock up as soon as the interrupt is attached. I believe that the microprocessor is being swamped by interrupts.
I think that the correct way of doing this is by using the Teensy's DMA controller. I have been reading Paul Stoffregen's DMAChannel library but I can't understand it. I need to trigger the DMA measurements from the PCLK digital pin and have it read in bits from the DOUT digital pin. Could someone tell me if I am looking at this problem in the correct way? Am I overlooking something, and what resources should I view to better understand DMA on the Teensy?
Thanks!
I put this on the Software Engineering Stack Exchange because I feel that this is primarily a programming problem, but if it is an EE problem, please feel free to move it to the EE SE.
Is DMA the Correct Way to Receive High-Speed Digital Data on a Microprocessor?
There is more than one source of 'high speed digital data'. DMA is not the globally correct solution for all data, but it can be a solution.
it sends out the data over two lines, DOUT and PCLK. PCLK is a 5 MHz clock signal and the bits are sent over DOUT, measured on the falling edges of the PCLK signal.
I attached an interrupt to the PCLK pin looking for falling edges. When it detects a falling edge, it sets a bool that a new bit is available and sets another bool to the value of the DOUT line.
This approach would be call 'bit bashing'. You are using a CPU to physically measure the pins. It is a worst case solution that I see many experienced developers implement. It will work with any hardware connection. Fortunately, the Kinetis K66 has several peripherals that maybe able to assist you.
Specifically, the FTM, CMP, I2C, SPI and UART modules may be useful. These hardware modules are capable of reducing the work load from processing each bit to groups of bits. For instance, the FTM support a capture mode. The idea is to ignore the PCLK signal and just measure the time between edges. These times will be fixed in a bit period/CLK. If the timer captures a two bit period, then you know that two ones or zeros were sent.
Also, your signal seems like SSI which is an 'digital audio' channel. Unfortunately, the K66 doesn't have an SSI module. Typical I2C is open drain and it always has a start bit and fixed word size. It maybe possible to use this if you have some knowledge of the data and/or can attach some circuit to fake some bits (to be removed later).
You could use the UART and time between characters to capture data. The time will be a run of bits that aren't the start bit. However it looks like this UART module requires stop bits (the SIM feature are probably very limited).
Once you do this, the decision between DMA, interrupt and polling can be made. There is nothing faster than polling if the CPU uses the data. DMA and interrupts are needed if you need to multiplex the CPU with the data transfer. DMA is better if the CPU doesn't need to act on most of the data or the work the CPU is doing is not memory intensive (number crunching). Interrupts depend on your context save overhead. This can be minimized depending on the facilities your main line uses.
Some glue circuitry to adapt the signal to one of the K66 modules could go a long way to making a more efficient solution. If you can't change the signal, another (NXP?) SOC with an SSI module would work well. The NXP modules usually support chaining to an eDMA module as well as interrupts.
I am generating a certain signal (digital pulse) in one of my verilog module running on programmable logic in Xilinx Zynq chip. Signal is pretty fast, with clock of about 200MHz.
I also have a simple linux and framebuffer Qt interface running for later controlling my application.
How can I sample my signal in order to make oscilloscope like interface inside my Qt app? I want to be able to provide visual of the pulse I am generating.
What do I need to use to be able to sample enough data at such clock frequency? And how do I pass it with kernel module or mmap to Qt?
You would do best to do what most oscilloscopes do: sample the data to RAM, and only then transfer it to the processor for display/analaysis, at a more "relaxed" pace.
On the FPGA side you will need a state machine that detects some sort of start or trigger condition, probably after a bit in a mode register is set from the software side to arm it.
The state machine will then fill samples into a buffer made of one or more block rams. If you want to placing the trigger somewhere in the middle of the samples captured, you should it as a circular buffer, and have it record continuously, stopping configurable number of samples after the trigger, so that some desired number from before the trigger condition remain un-overwritten by newer ones following it.
Since FPGA block rams are typically dual port, you can simply hook the other port up to your CPU bus for readout. You will probably want a register to read the state of the sampling state machine, and if you go with the circular buffer approach, the address where it stopped, so that you can unwrap the data to a linear record of time.
Trying to do streaming realtime sampling might be possible, but would be a lot harder and it is not clear that you could do anything meaningful with the data so produced in real time. Still, if you want to try you would probably need to put a FIFO buffer in between the sampling and the processor bus, as you will probably only be able to consume data in chunks, while having to service other operations in between, so something is needed to absorb the constant-rate inflow of samples. Another approach could be to try to build a DMA engine which would write samples directly to external system ram, but that will likely be even harder.
You could also see if there are any high speed interfaces available in the CPU which you could leverage - they might be things originally intended for video, for example.
It also appears that you are measuring only a digital signal, ie, probalby one bit. If you want to handle a higher input sample rate than the FPGA fabric can support, that could mean you could potentially use something like a deserializer block at the edge of the FPGA to turn the 1-bit input stream into a slower stream of wider samples to store.
In terms of output, once you have a vector of samples in a buffer it's pretty simple to turn that into a scope/logic analyzer type plot, with as much zooming, cursor annotation, automatic measurement or whatever you like.
Also don't forget that if the intent is only to use this during development, FPGAs and their tools often have the ability to build a logic analyzer right into the design, with the data claimed over the programming interface for plotting on a PC.
I am using Arduino UNO board. I have 24 analog channel which gives me 0~5v analog out put. Now my problem is I have only 5 analog channel. I wanted to read value from each channel for every 2 min and then switch to other channel. Can anyone suggest me in Hardware how can get analog value ?
I am planning to use 8:1 multiplexer or 16:1 multiplexer . Will it is correct way of doing it. Can you suggest other way of doing it in hardware ?
74HC4051,74HCT4051,ADG708,MD14051B,
IC I am planning to Use.dep[end on so,s1,s2 just switch the channel
As a start, you might need to know that even Arduino Uno also have internal MUX. In my experience of reading multiple analog channel, this is the approach that I take. However by taking this approach, I suggest you to recheck the analog value so adding MUX will not generate any error or bias.
This could be done by comparing the output of measurement with the MUX and output of measurement without the MUX. I used 74HC4051 and it works brilliantly, just make sure not to leave any pin floating. The only disadvantage of this method is that you will need to use some I/O to control the MUX, but if that is not an issue for you, then go ahead.
Any other method could be more complicated. It would require your analog channels to correlate with each other, and you need to find a way method to combine multiple analog channel into a single channel.
e.g: if your aim is to compare two analog value, instead of measuring the value and comparing the value in software, you could make use of op-amp comparison circuit to compare the value for you and take the comparison result instead.
Use the photon-pixel coupling method, it is a new approach in science for sampling an unlimited number of sensors in parallel.
Basically, each sensor output is an LED. If you have 10000 sensors, the output of all of them is inserted in a LED array, a LED matrix as the authors say. After that, the LED array is filmed by a video camera and the images are processed in real time by a computer. A software reads one pixel from each LED from the LED array and converts it to numerical values. So, your LED array will be converted in a matrix (with 10000 elements) filled with numbers that can be processed as you wish in your software. I don't know if I was explicit but you can read their article here: https://www.sciencedirect.com/science/article/pii/S2215016119300901
Note that classic multiplexing is serial, this approach is parallel.
The photon-pixel coupling method is truly ingenious because it solves two main problems in engineering: an unlimited number of sensors and their parallel sampling at video rate frequencies. Just imagine, we can read as many sensors as we wish. What I wander is if we can adapt the photon-pixel coupling to Arduino. I am new in the world of microcontrollers but I know Arduino can support a cam, so it should be possible.
If you are a PhD student then:
P.A. Gagniuc, C. Ionescu-Tirgoviste, R.G. Serban, E. Gagniuc. Photon-pixel coupling: A method for parallel acquisition of electrical signals in scientific investigations. MethodsX, 6:968-979, 2019.
To read more analog channels than inputs you have, an analog multiplexer is a good option. All the ones you suggested will work, but personally, I like the Analog Devices ICs for analog circuits, so I would take the ADG708, but this is just a personal preference.