Hi, these are just my quick comments, but one key thing with autotune and heaters is to choose the right setpoint. The autotune can get "stuck" or just take a really long time if the wrong setpoint is used. Autotune drives the process to the setpoint, then applied alternative step changes to the setpoint, about 5-10% above and below the setpoint. It measures the step response of the process to these changes in setpoint.
For example, if your ambient temp is 23 C and you choose a setpoint of 30C the process will ramp up nicely to 30 (or 33). However for the negative ramp (back to 27) it will take a very long time, especially if the process vessel is large and/or insulated, as the difference between the process temp and ambient temp is very small. On the other hand, if the process temp is 90C and the vessel is relatively small and uninsulated, the autotune will cycle much faster, as the vessel is able to lose heat quickly once the heater is tuned off.
Part [1] can be answered:
PID Server is running on PC.
It can consume much more resources (CPU, memory), and it may make PID Autotune more precise. But it is dependent of other conditions - PID startup parameters, Sensors/Actuators models and phisical location, inertion of sensors/actuators, etc.
And good side of PID Server is possibility to save PID parameters graph.
You can use this graph for feature reference, send it to someone for rteview, etc.
And yes, you can change PID parameters and make optimization by compare results of an original PID Autotune calculated PID parameters and changed ones.
I'm checking the consistency of the PID server tool if I can use this one next week onsite. I can't see anything that I have done differently except that I RESET and INITIALIZE and start over. Now the PID server auto tune isn't working too.
Any help? Basically, what I did is to get the parameters from the working auto tune unit, and encoded to the second unit for manual tuning. It works for 24 hours and for some reason client made adjustment on the mechanical side and it trips again. And my question is, is this the right way shown below for V570 forcing it manually for PID ?
2. Does it have Auto-Tune ? Same here, I don't see it listed on the features list or reviews, but I notice there is key/scale quantization and pitch detection/shifting for the samples, so I was wondering if there is also a trick to emulate auto-tune type effect from the input, or if Synthstom has any plans to make use of the existing quantization and pitch detection algorithms in order to bring this feature. That would be crazy
3. Does-it Auto-Sample ? I do see we have support for multi-sample presets through .WAV file folders. But... Can the unit create multi-samples itself ? (auto-sample feature such as what we can see on the MPC, Blackbox as well as just announced to be coming on the Maschine+)
Hey, I hope I can help
1. There's no vocoder. The osc trick is nice but it works different to a vocoder: It just puts out what you put in, but pitched. Note C3 is the base note, so the unaltered input gets put out. If you hold C3 E3 and G3, what you put in will be tuned to a major chord. But keep in mind that you have to have very stable pitch, because
2. it doesn't have autotune. No plans in that regard are known. The pitch detection feedback doesn't alter the sample content in a way autotune would, it just repitches the whole sample to make it match the normal pitches used in western music.
3. No auto-sample. I guess you could manually create a bunch of samples, move them into one folder and then make a multisample instrument out of it, but it is far from autosampling and you'd need a computer for moving the files anyway.
4. There's no limit (that I know of) for depth of folder structure. You can search for samples by typing on the keyboard, but only in the current folder you're in, not the ones deeper down. As far as I know it does accept big SD cards, but I think the performance of scrolling through the files and folders might be a bit slower - I could be wrong though, I haven't tested that.
Now, Griffin sometimes records with Auto-Tune on in real time, rather than having it applied to his vocals in post-production, a trend producers say is not unusual. This means that the artist hears the tuned version of his or her voice coming out of the monitors while singing.
The Block Volume service now supports the automatic adjustment of a block volume or boot volume's elastic performance setting to optimize performance with the auto-tune performance feature. For more information, see Auto-tune Volume Performance.
Auto-tuning automates the process of tuning the PX4 rate and attitude controllers, which are the most important controllers for stable and responsive flight (other tuning is more "optional").It is currently enabled for multicopter, fixed-wing, and hybrid VTOL fixed-wing vehicles.
The auto-tuning sequence must be performed in a safe flight zone, with enough space.It takes about 40 seconds (between 19 and 68 seconds).For best results, we recommend running the test in calm weather conditions.
If the drone was not moving enough during auto-tuning, the system identification algorithm might have issues to find the correct coefficients.Increase the FW_AT_SYSID_AMP, MC_AT_SYSID_AMP by steps of 1 and trigger the auto-tune again.
PX4 uses PID controllers (rate, attitude, velocity, and position) to calculate the outputs required to move a vehicle from its current estimated state to match a desired setpoint.The controllers must be well tuned in order to get the best performance out of a vehicle.In particular, a poorly tuned rate controller results in less stable flight in all modes, and takes longer to recover from disturbances.
Generally if you use a frame configuration that is similar to your vehicle then the vehicle will be able to fly.However unless the configuration precisely matches your hardware you should tune the rate and attitude controllers.Tuning the velocity and position controllers is less important because they are less affected by vehicle dynamics, and the default tuning configuration for a similar airframe is often sufficient.
Autotuning provides an automatic mechanism to tune the rate and attitude controllers.It can be used to tune fixed-wing and multicopter vehicles, and VTOL vehicles when flying as a multicopter or as a fixed-wing (transition between modes must be manually tuned).In theory it should work for other vehicle types that have a rate controller, but currently only the above types are supported.
The mathematical model used by autotuning to estimate the dynamics of the drone assumes this it is a linear system with no coupling between the axes (SISO), and with a limited complexity (2 poles and 2 zeros).If the real drone is too far from those conditions, the model will not be able to represent the real dynamics of the drone.
AutoTVM offers a way to tune models and operators by providing a templateschedule, and searcing the parameter space defined by the template. Thesehow-tos demonstrate how to write template schedules and optimize them for avariety of different hardware platforms.
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