Control techniques for electromagnetic levitation system: A literature review

A Pandey, DM Adhyaru - International Journal of Dynamics and Control, 2023 - Springer
Electromagnetic levitation is a cutting-edge technology with a wide range of applications in
several fields. Because of the increasing demand for this technology, an in-depth …

A 6-DOF Extended Unified Wrench Model for Maglev Planar Motor

C Hu, H Fu, Y Zhu, M Zhang - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
Magnetic levitation (maglev) planar motor has broad application prospect because of its
excellent performance in many aspects. In this article, a 6-DOF extended unified wrench …

Adaptive robust controller using intelligent uncertainty observer for mechanical systems under non-holonomic reference trajectories

X Chen, W Liang, H Zhao, A Al Mamun - ISA transactions, 2022 - Elsevier
Non-holonomic reference trajectories and uncertainties are typically encountered in a class
of mechanical systems. For such systems, this paper investigates the development of a …

Robust Adaptive Tracking Control for Uncertain Five-Bar Parallel Robot Using Fuzzy CMAC in Order to Improve Accuracy

TQ Ngo, TH Tran, TTH Le - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Parallel robot systems are increasingly important and widely applied due to their superior
advantages such as high speed and accuracy. To improve the accuracy of these systems …

Parameter space optimization for robust controller synthesis with structured feedback gain

L Yuan, S Chen, C Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Various optimal control and system designs involve searching for a feedback gain matrix
with structural constraints. As an alternative solution, the parameter space methods map the …

[HTML][HTML] Recurrent neural network based high-precision position compensation control of magnetic levitation system

Z Huang, J Zhu, J Shao, Z Wei, J Tang - Scientific Reports, 2022 - nature.com
For improving the dynamic quality and steady-state performance, the hybrid controller based
on recurrent neural network (RNN) is designed to implement the position control of the …

Convex parameterization of uncertain pendulous accelerometer with mixed H2/H∞ robust optimal control

J Wu, HR Karimi, B Wu, Y Shen, T Huang, K Song - Measurement, 2024 - Elsevier
This paper presents a mixed H 2/H∞ performance control algorithm for designing closed-
loop pendulous accelerometer controllers. The algorithm aims to enhance the dynamic …

Pendulous accelerometer dynamics enhanced via torque balance optimization control

J Wu, B Wu, HR Karimi, T Huang, K Song - Sensors and Actuators A …, 2024 - Elsevier
Existing controller designs for pendulous accelerometers focus on maintaining angular
balance, emphasizing low-frequency measurement performance while neglecting high …

[HTML][HTML] Trajectory tracking within a hierarchical primitive-based learning approach

MB Radac - Entropy, 2022 - mdpi.com
A hierarchical learning control framework (HLF) has been validated on two affordable
control laboratories: an active temperature control system (ATCS) and an electrical …

On symmetric Gauss–Seidel ADMM algorithm for H∞ guaranteed cost control with convex parameterization

J Ma, Z Cheng, X Zhang, M Tomizuka… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article involves the innovative development of a symmetric Gauss–Seidel ADMM
algorithm to solve the guaranteed cost control problem. In the presence of parametric …