Ftc rev gyro code

The output voltage is proportional to the rate of rotation of the axis perpendicular to the top package surface of the gyro chip. By integrating summing the rate output over time, the system can derive the relative heading of the robot.

Another important specification for the gyro is its full-scale range. The scale is much larger so faster rotation rates can be read, but there is less resolution due to a much larger range of values spread over the same number of bits of digital to analog input. In selecting a gyro, you would ideally pick the one that had a full-scale range that matched the fastest rate of rotation your robot would experience.

This would yield the highest accuracy possible, provided the robot never exceeded that range. The Gyro object should be created in the constructor of the RobotBase derived object. When the Gyro object is used, it will go through a calibration period to measure the offset of the rate output while the robot is at rest to minimize drift. This requires that the robot be stationary and the gyro is unusable until the calibration is complete.

Inertial Measurement Unit

The zero heading can be reset at any time by calling the Reset reset in Java method on the Gyro object. It is important to check the documentation included with the gyro to ensure that you have the correct sensitivity setting. For example, a sensitivity of The following example programs cause the robot to drive in a straight line using the gyro sensor in combination with the RobotDrive class.

The RobotDrive. Drive method takes the speed and the turn rate as arguments; where both vary from The gyro returns a value indicating the number of degrees positive or negative the robot deviated from its initial heading.

As long as the robot continues to go straight, the heading will be zero. This example uses the gyro to keep the robot on course by modifying the turn parameter of the Drive method. The angle is multiplied by a proportional scaling constant Kp to scale it for the speed of the robot drive.

This factor is called the proportional constant or loop gain. Increasing Kp will cause the robot to correct more quickly but too high and it will oscillate. Decreasing the value will cause the robot correct more slowly possibly never reaching the desired heading. This is known as proportional control, and is discussed further in the PID control section of the advanced programming section. This is a sample Java program that drives in a straight line. Documentation site powered by ScreenSteps Live.

View in admin portal Edit content on web Edit in desktop. Search term. Gyros to control robot driving direction Gyros typically in the FIRST kit of parts are provided by Analog Devices, and are actually angular rate sensors.

Using the Gyro class. See the code samples below for an idea of how to use the Gyro objects.

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Using a gyro to drive straight The following example programs cause the robot to drive in a straight line using the gyro sensor in combination with the RobotDrive class. Sample Java program for driving straight This is a sample Java program that drives in a straight line. Gyro; import edu. RobotDrive; import edu.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Formerly this software project was hosted here. If you are an Android Studio programmer, there are several ways to download this repo. Note that if you use the Blocks or OnBot Java Tool to program your robot, then you do not need to download this repository.

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a.

ZIP file will keep the size of the download manageable. You can also download the project folder as a. Once you have downloaded and uncompressed if needed your folder, you can use Android Studio to import the folder "Import project Eclipse ADT, Gradle, etc. You can access this documentation using the following link:. Note that the online documentation is an "evergreen" document that is constantly being updated and edited.

ARCHIVED - 2014 FRC Control System

FTC Javadoc Documentation. There is a subfolder called "doc" which contains several subfolders:.

ftc rev gyro code

FTC Technology Forum. Op modes are created and edited using a Javascript-enabled browser Google Chromse is recommended. Op modes are saved on the Robot Controller Android device directly. This version also includes improvements in the USB communication layer in an effort to enhance system resiliency. If you were using a 2. Also note that in version 3.A common problem in FRC is driving straight, in autonomous mode or otherwise. This article describes two ways to accomplish this using either encoders or a gyro.

Recommended prerequisite reading is PID Control. See the Gyro article for gyro basics. A gyro automatically corrects your turn as you drive. A simple way to accomplish this is using a P loop in your drive routine. This works well without much oscillation at speed because most of the nonlinearities in a drivetrain are taken up by the main drive power.

However, at low speed, small P values may not correct as well. Depending on the robot, field layout, direction of travel, drift, and more, your gyro may not be zero when you want it to be. A good idea would be to zero the gyro reading before starting the drive straight routine. We also pass an argument in telling it not to square the inputs. This is so the output is linear. How this works conceptually is by using a PID loop to drive the difference between the left and right side encoders to zero.

Make note of the sign of error and make sure that it reacts in the same direction as your turn direction, otherwise you will continually turn.

ftc rev gyro code

Again, this works well at high speeds, but may have difficulty correcting small errors at low speed. Both these approaches work well. A gyro is a fantastic sensor for angle measurement, especially over short terms. As turning to a specific angle is an almost-as-if-not-more-common problem than driving straight, the same sensor can easily double up for both tasks.

Encoders are less useful for turning to an angle though technically usableso a gyro is the recommended approach.

However, again, encoders are acceptable if you do not have a gyro on your robot for whatever reason. Both of these approaches can be combined with other drive methods, such as driving to a distance or using PID for drive distance. What to use?We process personal data about users of our site, through the use of cookies and other technologies, to deliver our services, personalize advertising, and to analyze site activity.

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Forgot password or user name? Posts Latest Activity. Page of 2. Filtered by:. Previous 1 2 template Next. SDK 5. Problem does not seem correlated with anything, just comes and goes. Error message starts out with "problem with imu" then the app notices the code is stuck in init and throws a "stuck in init " message and restarts itself. Eventually the robot will start up.

But this doesn't seem right, nor a good condition to go into their first tournament in. Code snip from their init : telemetry.

Parameters ; parameters. Commenting out the imu. But of course there is also no data if their code tries to read the imu later The phone configuration seems right, and obviously works most of the time. I'm at a loss.

ftc rev gyro code

Any suggestions what to advice a non-software coach to look for on this one? Thanks in advance Coach Z. Tags: None. Sorry for the bad cut and paste there. Here is the code snip again: telemetry. Comment Post Cancel.Autonomous Turning using HiTechnic Gyro. Hello all, I am a new programmer and have been working on a program to turn 90 degrees using a HiTechnic Gyro Sensor. Call to 'GyroInit'. This error only displayed after I changed the pragmas to match my teams robot.

The other programs such as gyro. The entire program is displayed below. I'll also include the gyro. They may need a brief time to stabilize. Joined: Sun Nov 15, am Posts: You have a few bugs in your code. The main one is of course in the GyroInit call. Thank you MHTS for your quick reply. We will integrate this at the next meeting. Another question, earlier today another team member created the following gyro function to do exactly the same end goal as the previous code above which is integrating drivers including yours.

Here is the code my teammate wrote: Code:. I am glad you asked the question. Instead of taking the code as is, you are curious on why the code is designed that way and what benefits does the code offer?

If your teammate's code does the job, there is no reason why you need to use more complicated code. Having said that, since you asked about the differences, I will list some here.

First, the simpler code you have assumes a fixed integration loop time of 10 msec. It is approximately correct in your case just because you have minimal code in your integration loop. If you are going to put more code in the integration loop, it may take much longer than 10 msec to execute.

That will affect the accuracy of the integration.

ARCHIVED - 2014 FRC Control System

It will be even worse if the code you will add to the integration loop has indeterministic execution time i. The integration task in the gyro. It uses timestamps to determine the sampling interval for integration.

Having said that, if you are not going to add any more code in your integration loop, it's probably fine. PID controlled turn means it will slow down when it gets closer to the target heading whereas the simpler code will always overshoot. Finally, one of the main strengths of the more complicated code is the ability to multi-task using a state machine. This allows your code to do much more sophisticated autonomous.

Take an example of this year's game, our team's robot can raise the elevator while running down the ramp and capturing the rolling goal. Then it dumps the balls into the goal.

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After that it lowers the elevator while at the same time turning toward the parking zone and dragging the rolling goal there. Then it will turn towards the kickstand and try to knock it down. All these operations must be done in 30 seconds. If the robot is doing all these sequentially, it will never be able to finish within 30 seconds. Therefore, we will overlap operations whenever we can. This means the robot loop must do several things at the same time. Having said that if you are not going to worry about multi-tasking, then you don't need to worry about using a state machine.We process personal data about users of our site, through the use of cookies and other technologies, to deliver our services, personalize advertising, and to analyze site activity.

We may share certain information about our users with our advertising and analytics partners. For additional details, refer to our Privacy Policy. You also acknowledge that this forum may be hosted outside your country and you consent to the collection, storage, and processing of your data in the country where this forum is hosted. I Agree. Login or Sign Up. Logging in By logging into your account, you agree to our Privacy Policypersonal data processing and storage practices as described therein.

Remember me. Log in. Forgot password or user name? We need help with our gyro. This topic is closed. Posts Latest Activity.

Page of 1. Filtered by:. Previous template Next. We need help with our gyroAM. Every time we try to use either system our robot starts to turn and continues to turn till the stop is pressed. It appears to never reach its destination.

The bot keeps turning. Here is code we are using currently: This a modified program that we used last year that worked, minus the drive commands for last year's competition. ModernRobotic sI2cGyro; import org. RelicRecoveryVuMark; import com.

DcMotorSimple; import org. ClassFact ory; import org. VuforiaTrackables; import org. VuforiaTrackable; import com.

ColorSensor; import com. Servo; import org. OpenGLMatrix; import org. VuforiaLocalizer; import com. Autonomous ; import com. TeleOp; import com. DcMotor; import com. GyroSensor; import com. ElapsedTime; import com. LF-Motor", lfmotor.One of the most useful tools you have available to you are sensors.

There are two types of sensors:. These sensors are useful little tidbits made by Lego, Hitechnic, or Modern Robotics. They generally come with the kit.

LEGO sensors include the ultrasonic and touch sensors. If you have any of these sensors, you can look through the APIs for a way to use them.

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As of the date this post was written, the Gyro, Color, Ultrasonic, and Infrared Sensors have been documented.

With the Device Interface Module, we can use 3rd party sensors.

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You can find the specifications of ports here in the middle download for the PDF of the core device interface module specifications. You can interface sensors in four ways:. You can use a variety of methods to interface these devices, all of which can be found here in the hosted API. Then, it reads the bit from the channel and logs it to the telemetry. Using this you can get values from a digital sensor, such as a simple touch sensor. Coming Soon: As the season progresses, we will add our own code for sensors here.

Using Sensors.


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