# CarND-Controls-PID
Self-Driving Car Engineer Nanodegree Program
- cmake >= 3.5
- All OSes: click here for installation instructions
- make >= 4.1(mac, linux), 3.81(Windows)
- Linux: make is installed by default on most Linux distros
- Mac: install Xcode command line tools to get make
- Windows: Click here for installation instructions
- gcc/g++ >= 5.4
- Linux: gcc / g++ is installed by default on most Linux distros
- Mac: same deal as make - [install Xcode command line tools]((https://developer.apple.com/xcode/features/)
- Windows: recommend using MinGW
- uWebSockets
- Run either
./install-mac.sh
or./install-ubuntu.sh
. - If you install from source, checkout to commit
e94b6e1
, i.e.Some function signatures have changed in v0.14.x. See this PR for more details.git clone https://github.com/uWebSockets/uWebSockets cd uWebSockets git checkout e94b6e1
- Run either
- Simulator. You can download these from the project intro page in the classroom.
There's an experimental patch for windows in this PR
- Clone this repo.
- Make a build directory:
mkdir build && cd build
- Compile:
cmake .. && make
- Run it:
./pid
.
Tips for setting up your environment can be found here
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)
Please (do your best to) stick to Google's C++ style guide.
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.
- 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.
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./
A well written README file can enhance your project and portfolio. Develop your abilities to create professional README files by completing this free course.
##Describe the effect each of the P, I, D components had in your implementation. The Kp term is proportional to CTE and determines the speed of the control system response as the ratio of output response to the CTE signal. If the proportional weight Kp is too large, the vehicle will begin to oscillate around the target trajectory.
The Ki term is proportional to both the magnitude of the CTE and the duration of the CTE. The integral term I accelerate the movement of the process towards target trajectory and eliminates bias between target trajectory and vehicle trajectory, that occurs with a pure proportional controller.
The Kd term is proportional to the rate of change of the CTE. The adding of derivative term, increases the stable behavior of the vehicle by damping the oscillation of vehicle - the overshooting of target trajectory - by increasing the speed of the overall control system response. So, adding the Kd allows the vehicle to drive through turns on the track and increasing of weight Kd allows driving through turns faster.
##Describe how the final hpyer-parameters were chosen. I manually choose the PID parameters and I could make whole laps around the track. Then I added the throttle controller and re-tuned both controllers to make faster laps.
I make some more modification and tune it by hand. Finally, PID parameter is : Kp = 0.3, Ki = 0.0006, and Kd = 15
You can see a video.flv movie which I recorded when I run the parameter. I have included it in this folder.