https://conferencea.org/index.php/conferences <p><strong>Conferencea- <span class="JsGRdQ">Virtual International </span></strong><span class="JsGRdQ"><strong>Conferences</strong> </span> is a platform created to publish the research papers of the conferences organized worldwide. We are providing the publication support to the conference organizers in order to make the research available online. </p> <p><strong>Conferencea</strong> platform works for the collaboration between the Academic and Scientific Institutions to publish the conference proceedings. We are also providing the services for indexing of the papers in reputed databases.</p> <p>We invite the conference organizers all over the world to publish the special issues of the State, National and International Conferences, Symposium, Events. </p> <p> </p> <p><strong>Conferencea- <span class="JsGRdQ">Virtual International </span></strong><span class="JsGRdQ"><strong>Conferences is edited by Mr. Steave B.K., </strong></span><strong>Zien Journals Publishing</strong></p> <p> <strong>Address: </strong> 5700 Tennyson Parkway, Suite 300,<br /> Plano, Texas 75024</p> <p><strong> Email:</strong> zienjournals@gmail.com or editor@zienjournals.com</p> en-US Mon, 09 Sep 2024 05:41:44 +0000 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 https://conferencea.org/index.php/conferences/article/view/3498 <p>Electric drive control systems are pivotal in modern engineering, with applications spanning automotive, industrial, and energy sectors. This article explores the evolving technologies in electric drive control systems, highlighting the significant advancements that have reshaped their design and functionality. We review the progression from traditional control methods, such as proportional-integral-derivative (PID) and vector control, to the integration of advanced artificial intelligence (AI) techniques. We discuss the impact of deep learning and reinforcement learning on real-time control and predictive maintenance, emphasizing their roles in optimizing energy use and improving fault detection. By synthesizing recent advancements and current research, this article offers a comprehensive overview of the state-of-the-art in electric drive control and its implications for future developments.</p> Bekzod Obidov Copyright (c) 2024 https://creativecommons.org/licenses/by-nc/4.0 https://conferencea.org/index.php/conferences/article/view/3498 Mon, 09 Sep 2024 00:00:00 +0000