Speed profile tracking by an adaptive controller for subway train based on neural network and PID algorithm

Q Pu, X Zhu, R Zhang, J Liu, D Cai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Train running performance largely depends on the controller. In order to improve the
controller performance of speed profile tracking, an adaptive control method for subway …

[HTML][HTML] Model predictive control of a magnetic levitation system with prescribed output tracking performance

B Oppeneiger, L Lanza, M Schell, D Dennstädt… - Control Engineering …, 2024 - Elsevier
To guarantee the safe and dependable operation of a magnetic levitation train, the distance
between the magnet and the reaction rail needs to be kept within a given range. In this work …

Setpoint weighted PI-FOPD cascade controllers synthesis for unstable time-delayed processes satisfying prespecified safety margins

YJ Wang - ISA transactions, 2024 - Elsevier
This article introduces a novel setpoint weighted PI-FOPD (SWPI-FOPD) cascade controller
with a prefilter. It further describes a four-stage design strategy that sequentially enhances …

Spatial adaptive iterative learning control for high-speed train with unknown speed delays

Z Zhu, X Zhang - … of the Institution of Mechanical Engineers …, 2023 - journals.sagepub.com
This article focuses on the high-speed train with unknown speed delays; a spatial adaptive
iterative learning control (SAILC) algorithm is designed to solve the displacement-speed …

Optimizing Subway Train Operation With Hierarchical Adaptive Control Approach

G Cheng, D Wang, M Sun, Z Fu, B Yuan, L Zhang… - IEEE …, 2023 - ieeexplore.ieee.org
The proportional integral derivative (PID) method is widely used in industrial control
applications. However, when applied to complex and dynamic train operation control …

Nonlinear Modeling and Robust Backstepping Control of a Quadrotor Unmanned Aerial Vehicle

M Karahan, C Kasnakoglu - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
Developments in information technology have enabled unmanned aerial vehicles to
decrease in size, increase their maneuverability and gain vertical landing and take-off …

Design and Implementation of Adaptive and Artificial Intelligence Controller for Brushless Motor Drive Electric Vehicle

A Saxena, A Gupta, N Tiwari - 2023 - sae.org
Brushless direct current (BLDC) motor aims to obtain high efficiency when compared to
conventional DC motors due to several reasons. But when it comes to the control then its …

Analysis of pole location control, LQR control and LMI control applied to a magnetic levitation with uncertain in parameter

R Fuentes, V Cabezas, M Díaz… - 2021 IEEE CHILEAN …, 2021 - ieeexplore.ieee.org
This paper presents the analysis of Pole Location (PL) Control, Linear Quadratic Regulator
(LQR) control and Lineal Matrix Inequation (LMI) control used in a magnetic levitator system …