loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. Taylan Daş 1 ; L. Canan Dülger 2 and Sadettin Kapucu 2

Affiliations: 1 Roketsan Missile Company, Turkey ; 2 University of Gaziantep, Turkey

Keyword(s): Particle Swarm Optimization, Electro-Hydraulic Robot, Neural Networks (NNs), System Identification (SI).

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Mechatronic Systems ; Neural Networks Based Control Systems ; Optimization Algorithms

Abstract: This paper proposes a novel approach based on the training of the Neural Network method with Particle Swarm Optimization (PSO-NN) for identification of a hydraulic servo robot. The robot is considered to have two degrees of freedom; one is rotational and the other is translational. A feed forward NN is designed for the problem and the weights of the network are trained using Particle Swarm Optimization (PSO) algorithm. In order to demonstrate the performance of PSO-NN, the designed network is also trained and tested with the Back Propagation (BP-NN) algorithm. Test results validated that the performance of PSO-NN is better than BP-NN algorithm both in convergence speed and in convergence accuracy. The results also illustrate that PSO-NN algorithm is an applicable and effective method for identification and control of a robotic system.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.90.187.11

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Taylan Daş, M.; Canan Dülger, L. and Kapucu, S. (2011). IDENTIFICATION AND CONTROL OF AN ELECTRO HYDRAULIC ROBOT PARTICLE SWARM OPTIMIZATION-NEURAL NETWORK(PSO-NN) APPROACH. In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-8425-74-4; ISSN 2184-2809, SciTePress, pages 49-55. DOI: 10.5220/0003447600490055

@conference{icinco11,
author={M. {Taylan Daş}. and L. {Canan Dülger}. and Sadettin Kapucu.},
title={IDENTIFICATION AND CONTROL OF AN ELECTRO HYDRAULIC ROBOT PARTICLE SWARM OPTIMIZATION-NEURAL NETWORK(PSO-NN) APPROACH},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2011},
pages={49-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003447600490055},
isbn={978-989-8425-74-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - IDENTIFICATION AND CONTROL OF AN ELECTRO HYDRAULIC ROBOT PARTICLE SWARM OPTIMIZATION-NEURAL NETWORK(PSO-NN) APPROACH
SN - 978-989-8425-74-4
IS - 2184-2809
AU - Taylan Daş, M.
AU - Canan Dülger, L.
AU - Kapucu, S.
PY - 2011
SP - 49
EP - 55
DO - 10.5220/0003447600490055
PB - SciTePress