Two-Link Robot Manipulator Using Fractional Order PID Controllers Optimized by Evolutionary Algorithms

Biosciences Biotechnology Research Asia - India
doi 10.13005/bbra/2075
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Oriental Scientific Publishing Company

Related search

Stabilization and Tracking Control of Inverted Pendulum Using Fractional Order PID Controllers

Journal of Engineering (United States)
Electronic EngineeringIndustrialMechanical EngineeringCivilStructural EngineeringManufacturing EngineeringHardwareElectricalChemical EngineeringArchitecture
2014English

Frequency Response Based Curve Fitting Approximation of Fractional–Order PID Controllers

International Journal of Applied Mathematics and Computer Science
2019English

Back to Basics: Meaning of the Parameters of Fractional Order PID Controllers

Mathematics
Mathematics
2019English

Parameters Optimization of PID Controllers for Leather Manufacturing Process by Using Genetic Algorithms

Leather and Footwear Journal
ChemistryIndustrialChemical EngineeringManufacturing Engineering
2015English

Sliding Mode Control With RBF Neural Network for Two Link Robot Manipulator

International Journal of Computer Applications
2019English

An Optimized Multiobjective CPU Job Scheduling Using Evolutionary Algorithms

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2018English

A New Hybrid Method for Tuning Fractional Order Proportional–integral–derivative (PID) Controllers in Frequency Domain

International Journal of the Physical Sciences
2011English

Computing New Optimized Routes for GPS Navigators Using Evolutionary Algorithms

2017English

Design of Fractional Order Controllers Using Constrained Optimization and Reference Tracking Method

International Journal of Power Electronics and Drive Systems
Electronic EngineeringPower TechnologyElectricalEnergy Engineering
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy