Archives: Features

Filtering encoder values in moteus

TLDR: moteus can now filter the encoder, resulting in less audible noise. Use firmware version 2021-04-20 and ‘pip3 install moteus’ version 0.3.19, then re-calibrate to get the benefits.

Background

The moteus controller uses an absolute magnetic encoder to measure the position of the rotor. It uses this knowledge to accurately control the current through the three phases of a brushless motor so that the desired torque is produced, i.e. “field oriented control”. This works well, but has some downsides. One, is that magnetic encoders work by sensing the magnetic field produced by a “sensing magnet” that is somehow affixed to the rotor. This sensing process always introduces some noise, so that the sensed rotor position is never perfect.

moteus direction configuration

Since the first public release, moteus has always calibrated motors so that a positive command is equivalent to a fixed sequencing of the phase wires. That means that depending upon which order you solder the phase wires, a positive commanded velocity will result in the motor spinning either clockwise or counterclockwise.

As it turns out, since moteus has an absolute encoder that is immune to such vagarities, it is much more convenient to normalize the direction of rotation around the encoder rather than the phase wires. As of release 2021-04-26, and moteus_tool 0.3.22, that is exactly what moteus does.

Auxiliary encoders for moteus

The moteus controller uses an absolute magnetic encoder to sense the position of the rotor in order to conduct field oriented control of the motor. In many applications, this sensing is also sufficient to measure the output as well, particularly in direct drive applications. However, if the controller is driving the output through a gear reduction, multiple turns of the input are necessary to make one turn on the output. At power on, this results in an ambiguity, where the controller doesn’t know where the output is.

New available limits in moteus firmware

Some of the new features in the moteus 2021-04-09 firmware release are new limits that can make the overall system more robust to faults or environmental conditions.

Velocity limiting

config: servo.max_velocity

Like the position limits, there now is a configurable velocity limit. If the motor is moving faster than this limit in either direction, then the applied torque will be limited, eventually to a value of 0. This can be used to reduce the likelihood of runaway behavior in systems where high speeds are not expected.

Auto-tuning current control loops

Since the moteus controller was first released, it has implemented a two-stage controller. The outer loop is a combined position/velocity/torque PID controller, which takes as an input a position trajectory, and outputs a desired torque. The inner loops accepts this torque, and uses a PI controller to generate the Q phase voltage necessary to achieve that torque.

Until now, the constants for that PI controller were left as an exercise for the reader. i.e. there were some semi-sensible defaults, but the end-user ultimately had to manually select those constants to achieve a given torque bandwidth. That isn’t too much of a problem for a sophisticated user, but for the rest of us, it is hard to know how to go from a desired torque bandwidth to reasonable PI gains.

moteus position anti-windup

The moteus controller uses a somewhat unique integrated position / velocity / torque controller with per-command configurable proportional and derivative gains. Through various combinations of these settings, it can emulate many different types of controllers, but one that it has struggled with until now was a pure velocity controller.

It has been minimally possible to use moteus as a purely velocity controlled since wraparound support was implemented, but that came with a caveat. Either the proportional term needed to be set to 0, in which case velocity tracking performance was poor, or if the proportional term was non-zero, an external torque would cause the position to drift arbitrarily far from the target position. Then if the external torque were released, the controller would “catch up” for all the lost ground, moving very rapidly.

pi3hat configurable CAN

To date, the pi3hat CAN channels only supported CAN properties suitable for use with moteus controllers. Given that’s what most people are using them for, that’s fine. However, there was no real constraint behind that, just laziness.

Thus, I’ve released new firmware for the pi3hat that supports configuring the bitrate, FD-ness, and other properties of all 5 CAN channels.

Currently only the C++ library exposes the configuration functionality, but it will be easy enough to add to python when someone needs it.

New cross-platform moteus tools!

After receiving many requests via youtube, discord, and email, I’ve finally gone ahead, bitten the bullet, and updated all of the moteus tools to be pure python and work in a cross platform manner. Now, the only thing you need to do to install pre-compiled versions of tview and moteus tool on most* platforms is:

pip3 install moteus_gui
python3 -m moteus_gui.tview    # (or maybe just tview)
python3 -m moteus.moteus_tool  # (or maybe just moteus_tool)

I’ve personally tested these on Linux, Windows, and Raspberry Pi, and others have at least verified basic operation on Macs. Python 3.7 or greater is required.

pip3 install moteus

I’m excited to announce new python bindings for communicating with moteus controllers! A simple example from the README:

import asyncio
import math
import moteus

async def main():
  c = moteus.Controller()
  print(await c.set_position(position=math.nan, query=True))
  await asyncio.sleep(1.0)

asyncio.run(main())

This code will try to locate an fdcanusb on your host and use it to communicate with controller with ID 1. All of those details can be customized through code depending upon how you construct things. The library is pure python, although it doesn’t work on Windows currently because it relies on an asyncio aware pyserial wrapper that doesn’t work there.

Native moteus tools for Windows

To date, all of the development tools for the moteus brushless controller have been available exclusively for Linux based operating systems. I’ve been doing some behind the scenes work, and have gotten to the point where moteus_tool now runs natively on windows and can communicate with moteus controllers using a fdcanusb.

Check out the Windows installer for the latest release:

To make this work, I started from the excellent grailbio/bazel-toolchain, which provides LLVM toolchains for Linux based systems based on the official LLVM pre-compiled binaries. I forked that into mjbots/bazel-toolchain and added Windows support. It isn’t perfect, because the LLVM project only distributes Windows binaries in installer form, and it isn’t possible to extract binaries from them without specialized tooling. So, this version relies on a manually re-packed compressed archive of all the executables.