Adaptive tracking control of hydraulic systems with improved parameter convergence

K Guo, M Li, W Shi, Y Pan - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Most recent studies on adaptive hydraulic tracking control focus on the trajectory tracking
performance while the parameter convergence property is often unsatisfying. This article …

Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation

OA Choudhry, M Wasim, A Ali, MA Choudhry, J Iqbal - Plos One, 2023 - journals.plos.org
A comprehensive literature review of self-balancing robot (SBR) provides an insight to the
strengths and limitations of the available control techniques for different applications. Most of …

Fuzzy adaptive trajectory tracking control of work-class ROVs considering thruster dynamics

M Li, C Yu, X Zhang, C Liu, L Lian - Ocean Engineering, 2023 - Elsevier
Work-class remotely operated vehicles (ROVs) are widely used in oceanic observation and
underwater operation, which are driven by hydraulic power. A fuzzy adaptive controller …

Disturbance-observer-based neural sliding mode repetitive learning control of hydraulic rehabilitation exoskeleton knee joint with input saturation

Y Yang, XC Dong, ZQ Wu, X Liu, DQ Huang - International Journal of …, 2022 - Springer
Rehabilitation exoskeleton is a wearable robot for recovery training of stroke patients. It is a
complex human-robot interaction system with highly nonlinearities, such as modeling …

Intelligent control for robotic manipulator with adaptive learning rate and variable prescribed performance boundaries

DD Zheng, X Li, X Ren, J Na - Journal of the Franklin Institute, 2023 - Elsevier
The purpose of this study is to enhance the transient performance and mitigate the possible
boundary-crossing issue during the design of a neural network-based intelligent prescribed …

Chatter detection in robotic milling using entropy features

B Yang, K Guo, J Sun - Applied Sciences, 2022 - mdpi.com
Chatter detection in robotic milling is a difficult issue due to the complex dynamic behavior of
robots. In this paper, a novel approach to detecting chatter in the robotic milling process is …

Investigation of MQL parameters in milling of titanium alloy

Z Zan, K Guo, J Sun, X Wei, Y Tan, B Yang - The International Journal of …, 2021 - Springer
Rational parameters for the minimum quantity lubrication (MQL) are essential to reduce
cutting temperature and extend tool life during titanium alloys' milling processing. However …

[PDF][PDF] Analytical position control system of a linear hydraulic actuator used in aircraft applications

HH Ali, FF Al-Bakri, SOW Khafaji - International Journal of …, 2023 - ijomam.com
This paper proposes a novel control technique for motion control of a linear hydraulic
actuator, in which actuator reference position and velocity profiles are generated …

Estimator and command filtering-based neural network control for flexible-joint robotic manipulators driven by electricity

Q Wen, L Yang - International Journal of Advanced Robotic …, 2022 - journals.sagepub.com
The article proposes an estimator and command filtering-based adaptive neural network
controller for the electrically driven flexible-joint robotic manipulators with output constraints …

Identification and Control of Flexible Joint Robots Based on a Composite-Learning Optimal Bounded Ellipsoid Algorithm and Prescribe Performance Control …

X Li, D Zheng, K Guo, X Ren - Applied Sciences, 2024 - mdpi.com
This paper presents an indirect adaptive neural network (NN) control algorithm tailored for
flexible joint robots (FJRs), aimed at achieving desired transient and steady-state …