Robotic manipulation and capture in space: A survey

E Papadopoulos, F Aghili, O Ma… - Frontiers in Robotics and …, 2021 - frontiersin.org
Space exploration and exploitation depend on the development of on-orbit robotic
capabilities for tasks such as servicing of satellites, removing of orbital debris, or …

Robust speed control of PMSM using sliding mode control (SMC)—A review

F Mohd Zaihidee, S Mekhilef, M Mubin - Energies, 2019 - mdpi.com
Permanent magnet synchronous motors (PMSMs) are known as highly efficient motors and
are slowly replacing induction motors in diverse industries. PMSM systems are nonlinear …

An adaptive backstepping nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators

M Van, M Mavrovouniotis, SS Ge - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper develops a novel control methodology for tracking control of robot manipulators
based on a novel adaptive backstepping nonsingular fast terminal sliding mode control …

Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing

Y Zhu, J Qiao, L Guo - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The requirements for the control performances of space manipulators, especially for the
stability and accuracy of the attitude control systems of the base spacecrafts, are ever …

Integral sliding mode control: performance, modification, and improvement

Y Pan, C Yang, L Pan, H Yu - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Sliding mode control (SMC) is attractive for nonlinear systems due to its invariance for both
parametric and nonparametric uncertainties. However, the invariance of SMC is not …

Neural network-based tracking control of uncertain robotic systems: Predefined-time nonsingular terminal sliding-mode approach

Y Sun, Y Gao, Y Zhao, Z Liu, J Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the predefined time trajectory tracking control of uncertain nonlinear
robotic systems. A radial basis function neural network (RBFNN) is used to estimate …

Tracking control of robotic manipulators with uncertain kinematics and dynamics

B Xiao, S Yin, O Kaynak - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
This paper investigates a difficult problem of tracking control for robotic manipulations with
guaranteed high accuracy. Uncertain kinematics, unknown torques including unknown …

Exponential tracking control of robotic manipulators with uncertain dynamics and kinematics

B Xiao, S Yin - IEEE Transactions on Industrial Informatics, 2018 - ieeexplore.ieee.org
This paper addresses a long-standing yet well documented open problem on task-space
trajectory tracking control of robotic manipulators subject to both uncertain dynamics and …

MPC for robot manipulators with integral sliding modes generation

GP Incremona, A Ferrara… - IEEE/ASME Transactions …, 2017 - ieeexplore.ieee.org
This paper deals with the design of a robust hierarchical multiloop control scheme to solve
motion control problems for robot manipulators. The key elements of the proposed control …

Robust approximate fixed-time tracking control for uncertain robot manipulators

Y Su, C Zheng, P Mercorelli - Mechanical Systems and Signal Processing, 2020 - Elsevier
This paper addresses the problem of robust trajectory tracking for uncertain robot
manipulators within a priori fixed-time. A new sliding surface is first proposed and a robust …