I'm not sure I understand the question.
The output rate is governed by the Thread.sleep() call inside your loop()
method and the input rate is governed by the way you configure the sensor
manager.
I don't have an encoder in my app, so I'm not sure I understand your
encoder comment.



On Thu, Mar 6, 2014 at 4:15 PM, Jiexin Wang <[email protected]>wrote:

> Hey Ytai,
>
> Now I can fix the sampling rate as 0.005s and 0.02s. The thing is in
> 0.005s case, the output will be delayed for a long time, I guess it's
> because of the heavy load in such short time interval. How can I set the
> control rate different from the sampling rate. Now I directly update ioio
> thread with the updating sensor value. Another thing is in 0.02 case, this
> situation doesn't happen, but increment of encoder error (encoder drift)
> will bias the encoder value. How do I solve this?
> Thank you.
>
> Best,
> Jx
>
>
> On Monday, February 24, 2014 9:41:27 PM UTC+9, Ytai wrote:
>
>> 1. Why is it a problem?
>> 2. This is not getting called from the IOIO thread, so is unrelated to
>> the delay.  When you register a listener on the sensor manager you can
>> choose the sample rate.
>> On Feb 23, 2014 11:53 PM, "Jiexin Wang" <[email protected]> wrote:
>>
>>> Another problem is ,now the sampling rate onSensorChanged is around
>>> 0.005second.
>>> Is that possible to set the sampling rate arount for example 0.01second
>>> by doing thread.sleep(10) in the ioio loop()??
>>>
>>> On Sunday, February 23, 2014 9:50:19 AM UTC+9, Ytai wrote:
>>>>
>>>> Yes. When estimating orientation, the gyro is fast, but drifts and the
>>>> accelerometer is slow, but doesn't drift. So what I'm doing is setting the
>>>> orientation every time I'm getting an acc reading and in between acc
>>>> readings I'm integrating gyro samples.
>>>>
>>>>
>>>> On Sat, Feb 22, 2014 at 2:51 AM, Jiexin Wang <[email protected]>wrote:
>>>>
>>>>> Hey Ytai,
>>>>>
>>>>> I got it.
>>>>> You are using sensor fusion of gyro and acc right?
>>>>>
>>>>> Best,
>>>>> Jx
>>>>>
>>>>>
>>>>> On Saturday, February 22, 2014 5:03:57 PM UTC+9, Jiexin Wang wrote:
>>>>>>
>>>>>> Hey Ytai,
>>>>>>
>>>>>> I am trying to implement the lqr algorithm recently. Thank you very
>>>>>> much for the sample code. It helps a lot.
>>>>>> I have a question about the sensors you use, according to the code,
>>>>>> you mainly used gyro sensor for getting error_, errorDeriv_, and 
>>>>>> errorInt_,
>>>>>> which are enough for the three state variable for pid control.
>>>>>> But what you use accelerometer for?? why getting another error_ and
>>>>>> orientationX_?
>>>>>> And actually are the two sensors working at the same time?? how this
>>>>>> two sensors working in the same time domain??
>>>>>> Thank you.
>>>>>>
>>>>>> Best,
>>>>>> Jiexin
>>>>>>
>>>>>> On Tuesday, February 11, 2014 1:38:34 AM UTC+9, Ytai wrote:
>>>>>>>
>>>>>>> It's a first order IIR filter (lowpass):
>>>>>>> y[n] = 0.999*y[n-1] + 0.001*x[n]
>>>>>>>
>>>>>>>
>>>>>>> On Sun, Feb 9, 2014 at 8:56 PM, Al B <[email protected]> wrote:
>>>>>>>
>>>>>>>> That makes more sense now.
>>>>>>>>
>>>>>>>> What about that 0.999 factor?  Why do you need that?
>>>>>>>>
>>>>>>>>
>>>>>>>> errorInt_ = (float) ((error_ * dt * 1e-9) + 0.999 * errorInt_);
>>>>>>>>
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