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Elevator Motion Profiling / PID Ramping
Our elevator is way too fast.
We're currently using a standard PID loop, but it accelerates ridiculously quickly and throws totes. I've looked into motion profiling, but can't see an easy way to (quickly) dynamically generate profiles between two arbitrary points on our elevator. Is motion profiling the best solution here, or is there a simpler way to stop our elevator from accelerating too fast? |
Re: Elevator Motion Profiling / PID Ramping
If you're using CAN Talons, you can use the built-in voltage ramping.
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Did you attempt to lower the P (gain) value of your PID loop?
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You could try:
- Open loop speed control on the elevator, such as connecting the Y axis of an operator joystick directly to the elevator motor output - Closed loop speed control on the elevator (instead of position control), such as using the Y axis of an operator joystick as the setpoint to a (rate/speed control) PID controller which controls the motor - Limiting the maximum output of the PID controller using SetOutputRange (float mimimumOutput, float maximumOutput) - Motion profiling Honestly, the open loop control might be enough. It's basically closed loop control given that the operator can look at the position of the elevator from the driver station to determine if it's moving too fast. If you are trying to do this in autonomous, though, obviously you have to use some sort of closed loop control. Limiting the maximum output of the PID controller may be a good idea in that case. |
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We have limited the max output of our PID controller, but that only provides a max speed, and no acceleration ramping. I'm still looking into dynamic motion profiling, but I haven't figured it out yet. |
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Open loop speed control allows your driver/operator to control the elevator's up/down motion directly (at least during teleop). This means that the operator can theoretically make sure the elevator isn't going too fast. Of course the downside of these options is that it's hard to have position setpoints (ground, 1tote, 2totes, etc) but if you're just trying to get your elevator to stop throwing totes they probably would work. Motion profiling would be an excellent next step if you think it's both important to have preset positions for the elevator (thus requiring position control) and use the max translation speed of your elevator during the travel time between positions. Downside, of course, is that it's harder to program. |
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First, capture the time the new setpoint was set (rampStartTime) ramp = rGain*(GetClock() - rampStartTime) output = error*ramp constrain output in a reasonable range for the current load Adjust the rGain to get the ramp up you want and the constraints to limit the top end. |
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I have two ideas that might help
If you want to stick with plain PID, you could try just increasing the value of kD. If it starts to oscillate a lot, try a low pass filter (moving average over 0.1 seconds or so) on the sensor value. This will help slow the elevator, but it may not be enough. A second solution is a nested PID controller (sometimes called cascade). Have the output of one PID controller be the input of the other. Your first PID controller looks at the actual elevator position and the desired elevator position, and outputs a desired lift rate - not motor power. The second PID controller takes this desired lift rate as an input, looks at the actual lift rate, and adjusts elevator lift motor power. To tune, you first worry about the second PID controller that takes velocity as an input. To tune, you can set it up so that the operator sets a desired lift rate, and the elevator moves at this rate. Make sure all your units are in terms of velocity for this loop and you should have mainly kI for this loop, and no kP. You may want to also try having a feedforward term here, I believe WPI has this built in. Next, you tune the second PID controller. This should have lots of kD, which will give you the smooth deceleration and dampening you want. |
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My best theory is the squawkVM was ported manually and used VXworks timers under the hood. The standard JRE we use now probably just sleeps or something. |
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Our elevator control originally used PD control, but we had intermittent issues with oscillation. Our PID controller is here: https://github.com/dicarlo236/2015-R...robot/PID.java Our Updater that deals with PID is here: https://github.com/dicarlo236/2015-R...t/Updater.java I assumed that I messed up something in my PID class for the derivative calculation, so I took it out, and we're only running P control now. However, we still experienced overshoot of 4" or more about 1 in 100 times. I've only had the bug happen once when I was analyzing loop timing, and it was caused by TimerTask waiting too long to call the run() method, and the P controller couldn't run and update the motor value. I was originally running all control loops (elevator PID, drive followers) in the same thread, and I split it up into separate threads for elevator and drive, but it did not solve the problem. I have two videos from our competition that show the problem. In the first video, you can see that the robot drives smoothly and accurately in autonomous mode, and the elevator moves properly throughout the whole match. If you watch our robot load from the feeder station or place totes, you'll see that the elevator is tuned well to work well under any load. Randomly, this exact elevator code will have tiny issues/jerky movement, then go back to normal. https://www.youtube.com/watch?v=7vw2...ature=youtu.be In the second train wreck of an autonomous mode, our robot doesn't drive smoothly at the beginning, the swatter swats too early, the intake turns on too late, the turn begins too early, the drop happens too late, and the drive stops too late. In teleop, the elevator control has an issue and doesn't drop low enough. At that point, I switched to manual control. https://www.youtube.com/watch?v=2pr8...ature=youtu.be The second video was likely taken during our second finals match (the problem happened twice). The identical autonomous program ran in the first and third finals match, and worked correctly both times. This behavior was very close to costing us the event, and I'd really like to get a good idea of what's happening. I am not 100% sure what caused the issues, but here is my current thought as to what went on. The first time it happened, it was triggered by an e-stop of the field. The match was started while the announcer was in the middle of announcing the first alliance, and the field people e-stopped the robot. I went out, reset the robot, but when I got back to the driver station, the robot was in autonomous disabled, not teleop disabled like it normally is when it is first FMS connected. For some weird reason, this caused the FMS not to communicate the remaining match time to the robot. I detect whether the robot is connected to the FMS by checking to see if the time remaining returns a reasonable number, which decides if we should run the match version of autonomous mode vs. the practice mode. The two versions are exactly identical, except that the practice mode fails to run System.gc() at the beginning because I accidently commented out the wrong line in queue. The second time it happened, I messed up a few changes when we dialed in our drop/back up for the carpet at the event, which was a little different from the old carpet back home. I removed only the line system.gc(). We don't have any mentors on our team who are familiar with Java or are programmers, so I've been unable to really figure out why System.gc() helps with loop timing. There's also an issue of the roboRIO's internal clock. On powerup, it thinks it's 1970. If you start your timer task then, then connect to the driver station, which syncs the roboRIO's date/time, it thinks it has to make up for 45 years of not running your code, which causes other issues. Both times when our auto failed, this was NOT the problem, as the elevator won't run if this case happens, and the elevator ran both times. |
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2) The garbage collector probably won't need to run much within 15 seconds after you explicitly call it. This could be eating CPU. The real answer is probably to use C/C++. :-/ |
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Our CPU usage is around 50% during normal use and 60-65% during auto. It may just be a coincidence that System.gc() didn't run when we had issues. |
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If you need to change the setpoint only when the speed is zero, it's pretty straightforward to generate a sinusoidal profile for smooth acceleration and deceleration. Given the max desired acceleration M and the distance D to the new position, compute the constants T, K1, K2, and K3 as shown in the equations. Then you can use the functions a(t), v(t), and x(t) to generate a nice smooth trajectory to the new target. "t" is elapsed time from start of profile. Note that T will be the time-to-destination and K2 will be the maximum speed. See the example profile for M=3.5 ft/s2 and D=5 ft. |
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I haven't seen much discussion about this on CD but, There is a fuzy logic controller in labview. If implemented well can solve control problems very well. However, This is not a good time to try this path. Off season project.
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The motion code I had is copy pasted from a project that ran perfectly on the cRIO - except I used Vectors instead of ArrayLists. There were no timing issues ever. It's ironic that the fancy dual-core ARM controller running realtime linux and a newer version of Java has less accurate timing than a very outdated version of Java running on a system an order of magnitude less powerful. |
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(That being said, I don't think C/C++ programs run as real time processes by default either.) |
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The JVM has changed a lot since the 1.3 version that was used on the cRIO.
Do we know what the startup command line looks like for the Java VM? I am curious to see if there are special settings regarding garbage collection. You want to do GC tuning using the command line parameters, not by calling System.GC(). System.GC() can be undesirable as it can trigger a full GC when you shouldn't need one. http://stackoverflow.com/questions/6...gc-do-anything has some discussion. This article discusses the tradeoffs in GC tuning. If I was having issues like this, I'd want to be looking at the output of -verbose:gc to see if I had big pauses. Then I'd experiment with the parallel collector, using in particular -XX:MaxGCPauseMillis to set a cap to the amount of time spent in GC. You want lots of very short GC runs in the younger generations. I'd also set -Xmx and -Xms to the same value, large enough that -verbose:gc never shows a full GC occurring during a run. If you're getting full GC runs occurring, you probably need to look at changes in your program to reduce allocation as there's too much memory pressure. |
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Also you could try using your PID to control velocity rather than position. |
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We have alleviated some of the issues with timing by measuring dt for every iteration of the control loop. This still isn't good enough to use any derivative in the controller, but it makes the motion a bit smoother. (You will probably over/undershoot the expected position part of your profile and get a bunch of error out of nowhere, causing the jerky motion.
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A bit of a follow up:
I talked this weekend at CVR with Joe Hershberger, who develops the RoboRIO side of the FRC stack. There is a construct in the HAL called a Notifier which uses the FPGA to generate interrupts at specific period. The CPP version of WPILib has support for this, but the java version is missing a JNI wrapper for this. Currently all timing based stuff (including the bundled PIDController) is being doing using Thread.sleep. So, it seems possible to get decent timing in Java, but someone is going to have to get the Notifier built into the JNI and working. Has anyone managed to get the allwpilib repo java stuff built? The documentation isn't incredibly helpful. |
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Taking a quick glance through the source, it looks like Java already has the FPGA interrupt infrastructure available so hopefully adding support for Notifier to wpilibj isn't too bad....should require adding 1) a NotifierJNI class provide the HAL bridge; and 2) a Notifier class for robot programs to use. I'll see if I can poke around with this over the weekend. - Ron Team #2607 controls mentor |
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-Ronnie |
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I created a spreadsheet to see if I could duplicate your example. Everything matches except for your statement "K2 will be max speed". My spreadsheet shows the max speed as 3.33 (cell I17) with a K2 value of 1.66 (cell D8). What am I doing wrong? Attached is my example sheet. -Hugh |
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Thanks for pointing that out. . |
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