General type-2 fuzzy gain scheduling PID controller with application to power-line inspection robots

T Zhao, Y Chen, S Dian, R Guo, S Li - International Journal of Fuzzy …, 2020 - Springer
In this paper, a general type-2 fuzzy gain scheduling PID (GT2FGS-PID) controller is
presented to achieve self-balance adjustment of the power-line inspection (PLI) robot …

Adaptive neuro fuzzy based hybrid force/position control for an industrial robot manipulator

H Chaudhary, V Panwar, R Prasad… - Journal of Intelligent …, 2016 - Springer
In this paper an ANFIS-PD+ I (AFSPD+ I) based hybrid force/position controller has been
proposed which works effectively with unspecified robot dynamics in the presence of …

[HTML][HTML] Grey-box modelling and fuzzy logic control of a Leader–Follower robot manipulator system: A hybrid Grey Wolf–Whale Optimisation approach

OO Obadina, MA Thaha, Z Mohamed, MH Shaheed - ISA transactions, 2022 - Elsevier
This study presents the development of a grey-box modelling approach and fuzzy logic
control for real time trajectory control of an experimental four degree-of-freedom Leader …

Adaptive P‐type iterative learning radial basis function control for robot manipulators with unknown varying disturbances and unknown input dead zone

T Bensidhoum, F Bouakrif - International Journal of Robust and …, 2020 - Wiley Online Library
This article proposes an adaptive iterative learning radial basis function (RBF) scheme to
solve the trajectory‐tracking problem for perturbed robot manipulators with unknown …

[PDF][PDF] Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator.

S Alavandar, MJ Nigam - Journal of Engineering Science & Technology …, 2008 - core.ac.uk
The dynamics of robot manipulators are highly nonlinear with strong couplings existing
between joints and are frequently subjected to structured and unstructured uncertainties …

New hybrid adaptive neuro-fuzzy algorithms for manipulator control with uncertainties–Comparative study

S Alavandar, MJ Nigam - ISA transactions, 2009 - Elsevier
Control of an industrial robot includes nonlinearities, uncertainties and external
perturbations that should be considered in the design of control laws. In this paper, some …

[HTML][HTML] Direct force control of upper-limb exoskeleton based on fuzzy adaptive algorithm

J Tang, J Zheng, Y Wang - Journal of Vibroengineering, 2018 - extrica.com
In order to synchronize human and machine positions and minimize human-machine
interaction forces in exoskeleton control, we present a two-degree-of-freedom (2-DOF) …

[HTML][HTML] A novel and advanced control method based on Fuzzy-PI for joint wear simulators

KR Iyer, D Keeling, RM Hall - Open …, 2024 - open-research-europe.ec.europa.eu
Background This research presents a novel approach to improve the control performance of
joint wear simulators that are used for testing prostheses. For this application, precise …

Tuning of a Robotic Arm using PID Controller for Robotics and Automation Industry

P Kulkarni, O Kulkarni… - 2024 6th International …, 2024 - ieeexplore.ieee.org
This paper discusses integrating robotics and automation systems to improve industrial
automation's efficiency, precision, and reliability, focusing on the versatile robotic arm. The …

Practical realization for the interval type-2 fuzzy PD+ I controller using a low-cost microcontroller

AM El-Nagar, M El-Bardini - Arabian Journal for Science and Engineering, 2014 - Springer
The interval type-2 fuzzy logic systems (IT2-FLSs) have been able to model and minimize
the numerical and linguistic uncertainties associated with the inputs and the outputs of FLSs …