Results 21 to 30 of about 4,787 (207)

Intelligent Adaptive Jerk Control With Dynamic Compensation Gain for Permanent Magnet Linear Synchronous Motor Servo System

IEEE Access, 2020
In this paper, an intelligent adaptive jerk control (IAJC) with dynamic compensation gain for the permanent magnet linear synchronous motor (PMLSM) servo system was proposed to improve robustness and tracking performance against nonlinear and time ...
Hao Yuan, Ximei Zhao, Dongxue Fu
doaj   +1 more source

Design a Second Order Sliding Mode Controller for Electrical Servo Drive Systems [PDF]

Engineering and Technology Journal, 2019
The aim of this paper is to design and study a powerful second-order sliding mode controller for electrical servo drive systems. The suggested controller can successfully overcome the chattering problem that was usually facing such systems during ...
Shams Hashim, Ahmed Hamoudi
doaj   +1 more source

Second-order sliding mode control of time delay systems [PDF]

Acta Montanistica Slovaca, 2003
The contribution of the paper is a proposal of the second-order sliding mode control of time delay systems developed analogously to the first-order version.
Fišer Jaromír, Zítek Pavel
doaj  

Finite Time Thrust Vector Tracker based on a New Smooth Second Order Adaptive Sliding Mode Controller [PDF]

International Journal of Research and Technology in Electrical Industry
This paper introduces a novel adaptive second-order sliding mode algorithm for finite-time control of uncertain nonlinear systems. Traditional first-order sliding modes are hindered by chattering and dependence on the upper bound of uncertainty. Although
Mohammad Asadi, Vahid Behnamgol, Ahmad Reza Vali   +2 more
doaj   +1 more source

Model-Based SMC Strategy for Speed Control With a Sensorless Load-Torque SM Observer: Analysis and Experimental Validation Using an IM

IEEE Access
This article investigates speed control of ac motors under load-torque uncertainty by employing the model-based sliding-mode control (MBSMC). Since using sensors reduces the reliability of the control and increasing the cost, a sensorless sliding-mode ...
Mohammad Tavakoli bina, Mehran Hemadi, Hossein Hafezi   +2 more
doaj   +1 more source

Design and Implementation of Robust Adaptive Synergetic Control for Prosthetic Finger Systems [PDF]

Anais da Academia Brasileira de Ciências
Prosthetic fingers are advancing to improve grip and natural movement for amputees, but controlling them and minimizing chattering remains challenging, highlighting the need for more robust, precise, and stable control solutions to address these issues ...
AYA K. ABBAS, SALEEM K. KADHIM
doaj   +2 more sources

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

SMC-I with Approach Angle Method for Slip Suppression of Electric Vehicles [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2017
This study presents SMC-I (sliding mode control with integral action) with approach angle method applied toslip suppression problem of electric vehicles (EVs).
Shun Horikoshi, Tohru Kawabe
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Study and Application of Intelligent Sliding Mode Control for Voltage Source Inverters

Energies, 2018
In this paper, an intelligent sliding mode controlled voltage source inverter (VSI) is developed to achieve not only quick transient behavior, but satisfactory steady-state response.
En-Chih Chang
doaj   +1 more source