/PID-control

Submission repository for PID control project for Udacity Self-Driving Engineer Car Nanodegree program

Primary LanguageC++MIT LicenseMIT

CarND-Controls-PID

Self-Driving Car Engineer Nanodegree Program


Project Goal

The goal of the project is to model a self driving using a Proportional-Integral-Derivative (PID) controller. The model is tested on a simulated car in the Udacity simulator. The following are the expectations of the project:

  • The car should stay within the lane and not veer too far off the center.
  • Fine tune the parameters to stabilize the controller for steering (optionally a controller for throttle)

Reflections

A demo of the project can be seen here.

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Parameters

The PID is modeled as follows:

Here, is the steering angle. CTE is the cross track error received from the simulator. , and are the parameters for each of the PID terms of the controller. I use the twiddle algorithm to find the best set of parameters for the project. It can be found in the code here. It should be noted that I ran twiddle a couple times, each time with initializing it with the parameters I got from the previous runs. The final set of parameters I have used are .

Effects of parameters

The following graph shows the effect of each P and D parameters when they are set to 0(while keeping other parameters constant) vs that of a finely tuned PID. As can be seen, for the properly tuned controller, the CTE remains fairly constant, around 0. When is set 0, the CTE doesn't converge to 0. On the other hand, when is set to 0, the CTE oscillates. This is due to the linear effect of a non-zero on the steering angle.

Plot

Dependencies

There's an experimental patch for windows in this PR

Basic Build Instructions

  1. Clone this repo.
  2. Make a build directory: mkdir build && cd build
  3. Compile: cmake .. && make
  4. Run it: ./pid.

Tips for setting up your environment can be found here

Editor Settings

We've purposefully kept editor configuration files out of this repo in order to keep it as simple and environment agnostic as possible. However, we recommend using the following settings:

  • indent using spaces
  • set tab width to 2 spaces (keeps the matrices in source code aligned)

Code Style

Please (do your best to) stick to Google's C++ style guide.

Project Instructions and Rubric

Note: regardless of the changes you make, your project must be buildable using cmake and make!

More information is only accessible by people who are already enrolled in Term 2 of CarND. If you are enrolled, see the project page for instructions and the project rubric.

Hints!

  • You don't have to follow this directory structure, but if you do, your work will span all of the .cpp files here. Keep an eye out for TODOs.

Call for IDE Profiles Pull Requests

Help your fellow students!

We decided to create Makefiles with cmake to keep this project as platform agnostic as possible. Similarly, we omitted IDE profiles in order to we ensure that students don't feel pressured to use one IDE or another.

However! I'd love to help people get up and running with their IDEs of choice. If you've created a profile for an IDE that you think other students would appreciate, we'd love to have you add the requisite profile files and instructions to ide_profiles/. For example if you wanted to add a VS Code profile, you'd add:

  • /ide_profiles/vscode/.vscode
  • /ide_profiles/vscode/README.md

The README should explain what the profile does, how to take advantage of it, and how to install it.

Frankly, I've never been involved in a project with multiple IDE profiles before. I believe the best way to handle this would be to keep them out of the repo root to avoid clutter. My expectation is that most profiles will include instructions to copy files to a new location to get picked up by the IDE, but that's just a guess.

One last note here: regardless of the IDE used, every submitted project must still be compilable with cmake and make./

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