Show HN: 2D PID controller simulation

It's a shame that the PID values aren't exposed directly in text boxes but you can affect how the ball behaves (react faster/slower or cause under or overshoot) by adjusting the kp, ki and kd values.

I'm curious, is there any configuration of the PID parameters that would achieve optimal control for this simple physical system? I suppose the optimum looks like 100% thrust and switching to -100% thrust at just the right time to stop at the target position.

This would be a really cool illustration if you could solve the closed loop transfer function, and display the locations of the closed loop zeros and poles.

Can anyone explain what is this?

Would be pretty nice to have some external force (like gravity), otherwise the i value is pretty much useless.<p>Also, some friction would be nice.

Looking at the source this is actually a PD controller, which makes sense for a simple simulation like this.

For a complete Python PID loop implementation and (console) demo:<p><pre><code> git clone https:&#x2F;&#x2F;github.com&#x2F;pjkundert&#x2F;ownercredit.git PYTHONPATH=$PWD python .&#x2F;ownercredit&#x2F;pid.py</code></pre>

Nice demo. Thanks. FYI <a href="http:&#x2F;&#x2F;nikital.github.io&#x2F;" rel="nofollow">http:&#x2F;&#x2F;nikital.github.io&#x2F;</a> is 404.

Challenge HN: Make it travel in a perfect circle. Comment with your strats.

Very nice simulation!