Design of a novel robust type‐2 fuzzy‐based adaptive backstepping controller optimized with antlion algorithm for buck converter

F Khavari, SM Ghamari… - IET Control Theory & …, 2023 - Wiley Online Library
A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is
presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which …

Adaptive backstepping controller design for DC/DC buck converter optimised by grey wolf algorithm

SM Ghamari, F Khavari… - IET Energy Systems …, 2024 - Wiley Online Library
Abstract A Lypunov‐based Adaptive Backstepping Control (ABSC) approach is designed for
a power Buck converter. This strategy is an advanced version of the Backstepping method …

Autonomous Drone Electronics Amplified with Pontryagin-Based Optimization

J Xu, T Sands - Electronics, 2023 - mdpi.com
In the era of electrification and artificial intelligence, direct current motors are widely utilized
with numerous innovative adaptive and learning methods. Traditional methods utilize model …

Improving speed control characteristics of PMDC motor drives using nonlinear PI control

E Çelik, G Bal, N Öztürk, E Bekiroglu… - Neural Computing and …, 2024 - Springer
This paper introduces a nonlinear PI controller for improved speed regulation in permanent
magnet direct current (PMDC) motor drive systems. The nonlinearity comes from the …

Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel

ÁA Orta-Quintana, RE García-Chávez, R Silva-Ortigoza… - Sustainability, 2023 - mdpi.com
This paper presents a sliding mode control (SMC) for the “full-bridge Buck inverter–DC
motor” system when a photovoltaic (PV) panel is considered as the power supply. The …

Robust flatness-based tracking control for a “full-bridge Buck inverter–DC motor” system

R Silva-Ortigoza, M Marciano-Melchor… - Mathematics, 2022 - mdpi.com
By developing a robust control strategy based on the differential flatness concept, this paper
presents a solution for the bidirectional trajectory tracking task in the “full-bridge Buck …

Intelligent Control of Automated Microelectronic Production Lines Based on Artificial Intelligence

H Zhang - … Conference on Applied Intelligence and Sustainable …, 2023 - ieeexplore.ieee.org
Artificial intelligence is currently the most popular technology. With the advent of the era of
big data, information technology based on artificial intelligence has become a new type of …

[PDF][PDF] Improvement of the linear quadratic regulator control applied to a DC-DC boost converter driving a permanent magnet direct current motor

A Bouchahed, M Assabaa, A Draidi… - International Journal of …, 2023 - academia.edu
This article discusses a new robust control technique that enables the DC-DC boost
converter driving a permanent magnet direct current (PMDC) motor to operate in high static …

Design and Simulation of a PID Neural Network Controller for PMDC Motor Speed and Position Control

RS Debes, T Kara - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Direct current (DC) motors have many difficulties when controlling angular velocity in a
variety of applications. The perfect controller cannot be carried out by traditional control …

DC-MOTORS AMPLIFIED WITH DETERMINISTIC ARTIFICIAL INTELLIGENCE AND PONTRYAGIN-BASED OPTIMIZATION

J Xu - 2023 - ecommons.cornell.edu
In the era of electrification and artificial intelligence, direct current motors are widely utilized
with numerous innovative adaptive and learning methods. Traditional methods utilize model …