Subject:
|
Re: Struggling with encoder wheel
|
Newsgroups:
|
lugnet.robotics
|
Date:
|
Fri, 13 Apr 2001 17:06:40 GMT
|
Viewed:
|
997 times
|
| |
|
|
In article <GBpz1w.I6C@lugnet.com>, Dean Hystad <dean.hystad@mts.com> wrote:
> As far as the rotation sensor, you could always use gearing to increase the
> resolution. Place it on the shaft of a worm gear driving a 42 tooth gear
> and you get 1 count = 1/2deg (approx). It's not as cool as an optical
> encoder, but it is robust.
That was the first version of the webcam mount. After rotating back
and forth a few times you can't tell where the camera is
anymore. There also aren't any 42 tooth gears BTW, just a 40.
Last night I used the datalog to record what the light sensor was
reading as the wheel passed by. The values actually look pretty good,
so I'm gonna work on my algorithm more to improve the detection. If
anyone wants a copy of the log, let me know.
--
Chris Osborn Full System, Inc.
fozztexx@fullsystem.com 2160 Jefferson St., #240
http://www.fullsystem.com/ Napa, CA 94559
Webhosting that *works* - 99.99% uptime - First 3 months free
|
|
Message has 1 Reply:
 | | Re: Struggling with encoder wheel
|
| (...) I have noticed the lost count phenomenon also (you attribute it to gear slop on you web page, but gear slop will give you errors in the 1/2 a tooth range or less and it doesn't get worse over time). In fact there was a very long thread about (...) (23 years ago, 13-Apr-01, to lugnet.robotics)
|
Message is in Reply To:
| | Re: Struggling with encoder wheel
|
| (...) I did an experiment printing out many different gradients and I now understand part of your problem. It was hard to get any change in the reading (~40 - 50). So next I then cut a wedge shaped slit in a piece of white paper. Aiming the sensor (...) (23 years ago, 13-Apr-01, to lugnet.robotics)
|
19 Messages in This Thread:
 
  
- Entire Thread on One Page:
- Nested:
All | Brief | Compact | Dots
Linear:
All | Brief | Compact
This Message and its Replies on One Page:
- Nested:
All | Brief | Compact | Dots
Linear:
All | Brief | Compact
|
|
|
|
