<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Control | Neeraj Balachandar | Research Portfolio</title><link>https://neerajbalachandar.github.io/tags/control/</link><atom:link href="https://neerajbalachandar.github.io/tags/control/index.xml" rel="self" type="application/rss+xml"/><description>Control</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jun 2024 00:00:00 +0000</lastBuildDate><image><url>https://neerajbalachandar.github.io/media/icon_hu16206239388152479810.png</url><title>Control</title><link>https://neerajbalachandar.github.io/tags/control/</link></image><item><title>Neuro-Fuzzy PID Control</title><link>https://neerajbalachandar.github.io/project/neuro-fuzzy-pid-control/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://neerajbalachandar.github.io/project/neuro-fuzzy-pid-control/</guid><description>&lt;h2 id="problem">Problem&lt;/h2>
&lt;p>Developed a neuro-fuzzy-based adaptive PID controller for a 2R manipulator with varying trajectories, emphasizing stability and performance across operating conditions.&lt;/p>
&lt;figure class="project-detail-figure">&lt;img src="https://neerajbalachandar.github.io/project/neuro-fuzzy-pid-control/detail.png" alt="Neuro-Fuzzy PID Control detail image" loading="lazy">&lt;/figure>
&lt;h2 id="approach">Approach&lt;/h2>
&lt;ul>
&lt;li>Designed a neuro-fuzzy adaptive tuning strategy to update PID gains under changing trajectories.&lt;/li>
&lt;li>Evaluated tracking stability and control smoothness across multiple excitation profiles.&lt;/li>
&lt;/ul></description></item></channel></rss>