Is PPM Analog or Digital?

Since I am a huge fan of answering questions when they are asked, here is my answer to “Is PPM Analog or Digita?

The easiest way to determine if electrical signal (and PPM in case of RC usage is electrical) is analog or digital is to check how many voltage levels are used. If signal consists of 2 levels, like 5V and 0V, or 3.3V and 0V it is digital. Two states, HIGH and LOW, 1 and 0, digital.

Is PWM Digital or Analog signal

If, however, number of voltages/levels is bigger, it still does not mean that we are dealing with analog signal. Analog signal should be “smooth”. It’s hard to call signal with 3 levels a smooth one. Computers do not work with analog signals. They do not know how to do it. Signals thay can process are always quantified, represented by countable number of bits. Of course, with enough resultion they will appear analog. I’m pretty sure somewhere in The Internet someone is arguing abouth that the very moment you are reading this sentence. I will not participate. If you want to know more about analog and digital, read this article. Bottom line is: with 2 levels, signal is digital.

So, PPM is digital or analog? In case or RC, PPM is a digital signal (or to be more precise digital modulation) that carries/encodes multiple values (channels). Each value (channel) can vary between around 1000 to around 2000. Value of each channel is encoded as number of microseconds between rising and falling edge in specific timeframe associated with this channel number.

Photo: Wikimedia

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Damaged motor: broken off magnet

One of the things that can happen to brushless motors, specially outrunners, is broken off magnet. Stronger crash, or even extensive vibrations, can cause one one small magnets located in motors bell to tear off. After all, they are only glued to rotating part of motor.

Symptoms are:

  1. If magnet stays inside motor, it will either rattle, or more probably block motor completely. It will stop spinning, and will not start again. Do not try to force it, it will only get worse,
  2. If magnet will somehow leave motor interior, motor will usually continue to spin. More, multirotor or a fixed wing plane will be flyable. Of course, motor will loose some power, there might be some jerkiness, excess vibrations, but it will keep to rotate.

When case one happens, you can easily see it happened: motor blocked completely or very rattly. Immediately disconnect power, magical smoke is very near. In case two, motor when pushed with finger will spin, but jumpy, like this:

motor jump with lost magnet

Plus, due to weight imbalance, motor will be a source of huge vibrations.

Can I fix a motor with broken off magnet?

Yes, if you have a magnet, it can be glued in place. If it stayed inside motor, you already have it. Just remove shaft clip and pull motor bell. If you have lost broken off magnet, you could get a new one. Maybe to buy it, but better option will be different damaged motor as a donor. The same type of course.

Multistar 2206 2150KV with teared off magnet Continue reading “Damaged motor: broken off magnet” »

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Cleanflight 1.12 is coming to town…

Looks like Cleanflight release cycle is speeding up. Last stable version, 1.11.0, was published in the beginning of December 2015, next stable release, 1.12, can appear any day now. Its Release Candidate is available for testing for more than a week now.

So, what can we expect? First of all, bad news: no improved GPS navigation from iNavFlight yet. iNavFlight is not ready and looks like it’s too big to fit all targets, specially F1 processors. So, we will have to wait a while for it. In the meantime, iNavFlight 1.0 RC4 is ready for testing. And it is very promissing. I’ve been able to do only a few test flights on it before winter, but results were very nice.

In Cleanflight 1.12.0 we can expect few quite important new features:

  1. Looptime sync to gyro readouts. This is something that Betaflight users knows very well. No more looptime as we know it. Control loop processes data as soon as it have it from gyros. Approximately every 1000us, since gyro updates with 1kHz frequency. But, that does not mean that we all will be using looptime of 1000. Not all hardware targets with features like GPS have enough computing performance to handle that. This is why CLI command gyro_sync_denom has been introduced. It tells CF every which gyro update control loop should be executed. Value of 1 results of looptime around 1000us, value of 2 give looptime of 2000us and so on. Important note: by default gyro sync is disabled and CLI set gyro_sync=ON command has to be executed to enable it.
  2. Improved task scheduler. Task scheduler in revious versions of Cleanflight was rather simple. This new implementation will allow for better processing of pheripherials like GPS. Users probably will not see much (if any) difference, but this is required for future features like better GPS navigation,

In addition to that: faster computations and better gyro filtering, bugfixes, documentation updates (to which I contributed too) and smaller improvements. See release notes for full list.

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Programming ATtiny85 and ATtiny45 with Arduino IDE

What is ATtiny

ATtiny is a fimily of microcontrollers by Atmel, the same company that provides ATmega series used widely in “real” Arduinos. Comparing to ATmega, ATtinys are much simpler, smaller (usually), with less features. But also cheaper, easier to connect, using less energy, and trust me, in many many cases you do not need 32kB of flash memory. If, for example, you want to build a device that will beep every 10 minutes which microcontroller would you use: huge DIP-28 ATmega328P from Arduino UNO R3 or small DIP-8 ATtiny25 that ususes way less power and costs around 1EUR? I would use ATtiny.

ATtiny85 as light sensor with I2C bus

There are many microcontrollers in ATtiny family. In this tutorial and all future in this series I will concentrate on ATtiny85 with 8kB of flash memory. There are 2 simpler versions of it: ATtiny25 and ATtiny45 with respectively 2kB and 4kB of flash, but price difference between them is so small, that I see no point of trying to use them. When buoght from China, it might be even possible to buy ATtiny85 cheaper than its smaller brothers. Continue reading “Programming ATtiny85 and ATtiny45 with Arduino IDE” »

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Quick review: Gemfan 5×3 (5030) 3 leaf propellers

dav

This will be very quick review with a simple conclusion: I will never buy Gemfan 5030 3 leaf propellers again. Never. Why? They are cheap, you can buy them for around $3 for 2 pairs from China. But they have few flaws:

  1. Every crash, even gentle means at least one broken propeller,
  2. Quality is low,
  3. Look at this picture: Brokern gemfan 5030 3 leafThis propeller never hit anything in its life. See white stress marks near hub? They appeared during normal flight. This prop would break soon,
  4. At least twice in last 2 months Gemfan 5030 3 leaf broke in flight. In both cases during quite normal flight. No crazy stuff. Simple turn.

So, my verdict is: no, never again. I’m going back to Gemfan 5030 2 leaf version. They are cheaper and offer very similar performance. And I think they are slightly harder to break after all.

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Read RC PWM signal with Arduino

Arduinos are cheap and simple development board. You can do a lot with even the simplest of them. For example build you own quadcopter and flight controller (after all MultiWii = Arduino + MPU6050). Of course, this is not as simple as one might imagine and there are few (actually a lot) obstacles that needs to be overcomed. One of them, and very basic, is how to read RC PWM signal provided by radio receiver.

Signal to decode

RC PWM signal passed from radio receiver to servos, ESC, flight controllers is encoded with a length of pulse. Pulse length of 1000us (micro seconds) is minimum stick position and pulse of 2000us length is maximum stick position. Pulses repeat every 20ms for standard 50Hz refresh rate. Like this:

RC PWM Signal

So far, nothing fancy. Continue reading “Read RC PWM signal with Arduino” »

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Reptile 500 quadcopter

Cleanflight software low pass filters

Back in version 1.9, Cleanflight introduced new software low pass filters for gyro readouts, P term and D term of PID controller. They are designed to smooth control loop output and filter gyro inputs from undesired high frequency noise. Unfortunately, Cleanflight documentation was not yet updated and says very little about them. Here are few things that I was able to find out about them.

gyro_cut_hz

This low pass filter (LPF) is a software filter for gyroscope readouts. Most probably the less useful from software LPF filters in Cleanflight. Why? It duplicates (sits on top) of hardware gyro_lpf LPF filter build into MPU6050 or other gyroscope used in flight controller. The only advantage of gyro_cut_hz is a possibility to set any frequency while gyro_lpf accepts only limited set of frequencies. Can be left at 0 (disabled) unless there is a good reason to use it.

To enable it and set cutoff frequency to, for example, 64Hz, enter CLI mode and type:

set gyro_cut_hz=64
save

pterm_cut_hz

This LPF is slightly more useful than gyro_cut_hz since P term of PID controller depends on both gyro readout (filtered by hardware gyro_lpf) and user input. So, in some cases P term frequency can be higher than gyro trace. On the other hand, frequency change is so small, that gain from using pterm_cut_hz is minimal. Setting it below gyro_lpf or gyro_cut_hz will make PID control loop react slower than expected and decrease flight performance. Can be left at 0 (disabled) unless there is a good reason to use it.

To enable it and set cutoff frequency to, for example, 32Hz, enter CLI mode and type:

set pterm_cut_hz=64
save

dterm_cut_hz

Finally something useful! D term of PID controller, since it is trying to look into a future, can be a source of huge noise and vibrations. After all, looking into a future is always a tricky business. This is why D term and change with totally different frequency than gyro input and there is a very good reason to limit D term change. Too see how excess D noise can affect gyro traces take a look at my Blackbox tutorial.

Limit how much? I have no idea, since it all depends on a machine PID controller is trying to stabilize. Betaflight (Cleanflight fork aiming at 250 and smaller racers) sets it at 42Hz. My personal experience with big and prone to vibration Reptile 500 frame ended at dterm_cut_hz at 14Hz. Rule of thumb is: smaller and more rigid frames allows for higher D term cutoff frequency and 42Hz is a good place to start. Bigger frames might require lower cutoff frequency and 10Hz is lower boundary. On the other hand, I was using dterm_cut_hz at 16Hz on a 250 quad and was happy with results.

To enable it and set cutoff frequency to, for example, 16Hz, enter CLI mode and type:

set dterm_cut_hz=64
save

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Note on Arduino Uno servo jitter

Yesterday I discovered very nasty feature of Arduino Uno (and all other AVR ATMega328 boards) when using servos. Although official Servo library states that it can support up to 12 servos on Arduino Uno (more on advanced boards as Mega), it does not say much about quality of PWM signal.

Since all connected servos (in case of Arduino Uno/ATMega328) are driven using the same timer (timer1), the more servos are connected, the more jitter is introduced to PWM signal. Control “window” of each servo starts to overlap. This results in a situation when real pulse width jumps up and down, sometimes even outside allowed values.

My experiments says that Servo library can support up to 3 servos per 16 bit timer with acceptable jitter level to use as RC control signal. Specially when PWM signal is fed to flight controller. With 3 channels signal quality was acceptable after enabling input filtering on Cleanflight. 2 PWM/Servo channels did not required input filtering.

4 or more PWM channels can be used when real servos, not flight controller inputs, are used. Servo inertia “solves” issue of signal jitter.

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Detecting Cleanflight PID tuning issues with Blackbox: not enough P

This is third part of Cleanflight PID tuning tutorial with Blackbox. Previously I’ve showed examples of:

This time it is time for something slightly different: not enough P gain. Usually this problem can be identified without any log analysis. Symptoms are quite visible: multirotor is sluggish during maneuvers, has a tendency to change attitude on its own, constant course corrections are required. In worse cases, it is unflyable. But how does it look like on Blackbox logs.

First of all, symptoms are not so clearly visible. There are no huge oscillations for example. Zoomed out log might event look good on a first glance. For example like this:

blackbox pid tuning not enough P overview

Continue reading “Detecting Cleanflight PID tuning issues with Blackbox: not enough P” »

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Detecting Cleanflight PID tuning issues with Blackbox: excess D gain

Welcome to second part of Blackbox PID tuning tutorial. Last time I have showed few examples how excess P gain might look like. Today I will write few words about next common PID tuning problem: too much D. Derivative (future) part of PID controller is very useful, since it allows to smoothen control loop output when it is reaching the target. So, at the end of move (roll, pitch, yaw, anything else) multicopter will start to “slow down” before target is reached. It’s just like accelerator pedal in a car. When you want to reach 50 you start to release it before you reach 50, and not in the exact moment you reached target speed. If you would, you would have to use brake to slow down to 50. Derivative part helps not to overshoot. Without it, movement would be shaky, not smooth.

Unfortunately, D is tricky. Like everything that tries to see the future, it is unreliable and can introduce noise. We do not like noise. Not enough D = shaky, mechanical, movement and overshooting. Too much D = extra noise, vibrations, damped response.

How excess D would look like in Blackbox logs? Like this:

Too much D gain on Cleanflight Continue reading “Detecting Cleanflight PID tuning issues with Blackbox: excess D gain” »

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