Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design
This paper presents a novel vibration control technique for a pendulum via cable length manipulation. To control the sway angle by using the reeling and unreeling of the hositing cable, we develop a non-linear feedback control scheme by utilising parametric resonance, in which the control input is d...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2013-01-01
|
Series: | FME Transactions |
Subjects: | |
Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2013/1451-20921304265A.pdf |
id |
doaj-1e0251c2295340c4856642c7d354db05 |
---|---|
record_format |
Article |
spelling |
doaj-1e0251c2295340c4856642c7d354db052021-03-23T14:05:56ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2013-01-014142652701451-20921304265ANon-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller designAbe Akira0Asahikawa National College of Technology, Department of Systems, Control and Information Engineering, Asahikawa, JapanThis paper presents a novel vibration control technique for a pendulum via cable length manipulation. To control the sway angle by using the reeling and unreeling of the hositing cable, we develop a non-linear feedback control scheme by utilising parametric resonance, in which the control input is defined as the acceleration of the cable. Because the governing equation and the control law are non-linear, it is very difficult to analytically solve the feedback gains for the stabilization of the system. Hence, the feedback gains are determined by the use of particle swarm optimization (PSO), which is an evolutionary computation technique, to reduce the sway angle to the maximum extent possible. The validity of the proposed control technique is confirmed by numerical simulations. To verify the feasibility of the present approach, experiments are also performed. From the experimental results, we demonstrate that the application of the PSO algorithm for tuning the feedback gains is valid and that the proposed non-linear feedback control scheme is effective for the vibration control of a pendulum with variable length.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2013/1451-20921304265A.pdfvibration controlparametric resonancenon-linear feedback controlparticle swarm optimizationexperimental validation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abe Akira |
spellingShingle |
Abe Akira Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design FME Transactions vibration control parametric resonance non-linear feedback control particle swarm optimization experimental validation |
author_facet |
Abe Akira |
author_sort |
Abe Akira |
title |
Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design |
title_short |
Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design |
title_full |
Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design |
title_fullStr |
Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design |
title_full_unstemmed |
Non-linear control technique of a pendulum via cable length manipulation: Application of particle swarm optimization to controller design |
title_sort |
non-linear control technique of a pendulum via cable length manipulation: application of particle swarm optimization to controller design |
publisher |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
series |
FME Transactions |
issn |
1451-2092 2406-128X |
publishDate |
2013-01-01 |
description |
This paper presents a novel vibration control technique for a pendulum via cable length manipulation. To control the sway angle by using the reeling and unreeling of the hositing cable, we develop a non-linear feedback control scheme by utilising parametric resonance, in which the control input is defined as the acceleration of the cable. Because the governing equation and the control law are non-linear, it is very difficult to analytically solve the feedback gains for the stabilization of the system. Hence, the feedback gains are determined by the use of particle swarm optimization (PSO), which is an evolutionary computation technique, to reduce the sway angle to the maximum extent possible. The validity of the proposed control technique is confirmed by numerical simulations. To verify the feasibility of the present approach, experiments are also performed. From the experimental results, we demonstrate that the application of the PSO algorithm for tuning the feedback gains is valid and that the proposed non-linear feedback control scheme is effective for the vibration control of a pendulum with variable length. |
topic |
vibration control parametric resonance non-linear feedback control particle swarm optimization experimental validation |
url |
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2013/1451-20921304265A.pdf |
work_keys_str_mv |
AT abeakira nonlinearcontroltechniqueofapendulumviacablelengthmanipulationapplicationofparticleswarmoptimizationtocontrollerdesign |
_version_ |
1724206069716090880 |