The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control
The authors proposed a model predictive control method for energy regenerative active vibration control systems. The control input of this method is composed of a linear sum of harmonic functions to reduce computational costs and this approach gives a simple way to predict the time averaged regenera...
Main Authors: | , |
---|---|
Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2015-02-01
|
Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/81/824/81_14-00545/_pdf/-char/en |
_version_ | 1797988707162128384 |
---|---|
author | Takeshi NAKAHARA Takashi FUJIMOTO |
author_facet | Takeshi NAKAHARA Takashi FUJIMOTO |
author_sort | Takeshi NAKAHARA |
collection | DOAJ |
description | The authors proposed a model predictive control method for energy regenerative active vibration control systems. The control input of this method is composed of a linear sum of harmonic functions to reduce computational costs and this approach gives a simple way to predict the time averaged regenerated power. However, the predicted averaged power tends to be smaller than the actual averaged power because the disturbance input is ignored in the prediction process. In this paper, a modified predictive controller that uses a harmonic disturbance model and a minimal order observer to estimate and consider the disturbance input in the prediction process is proposed. Numerical simulations of a single degree of freedom (SDOF) system with the proposed controller show that the modified controller can improve the prediction quality of the time averaged regenerated power in the following cases. These are the cases that the type of the disturbance is sinusoidal input whose frequency is the natural frequency of the SDOF system or random input whose amplitude is small enough to satisfy control input constraint. |
first_indexed | 2024-04-11T08:08:22Z |
format | Article |
id | doaj.art-a9e119c829ec450497f92f3fab94bf35 |
institution | Directory Open Access Journal |
issn | 2187-9761 |
language | Japanese |
last_indexed | 2024-04-11T08:08:22Z |
publishDate | 2015-02-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Nihon Kikai Gakkai ronbunshu |
spelling | doaj.art-a9e119c829ec450497f92f3fab94bf352022-12-22T04:35:28ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612015-02-018182414-0054514-0054510.1299/transjsme.14-00545transjsmeThe introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration controlTakeshi NAKAHARA0Takashi FUJIMOTO1Department of Mechanical Engineering, Kyushu Sangyo UniversityDepartment of Mechanical Engineering, Kyushu Sangyo UniversityThe authors proposed a model predictive control method for energy regenerative active vibration control systems. The control input of this method is composed of a linear sum of harmonic functions to reduce computational costs and this approach gives a simple way to predict the time averaged regenerated power. However, the predicted averaged power tends to be smaller than the actual averaged power because the disturbance input is ignored in the prediction process. In this paper, a modified predictive controller that uses a harmonic disturbance model and a minimal order observer to estimate and consider the disturbance input in the prediction process is proposed. Numerical simulations of a single degree of freedom (SDOF) system with the proposed controller show that the modified controller can improve the prediction quality of the time averaged regenerated power in the following cases. These are the cases that the type of the disturbance is sinusoidal input whose frequency is the natural frequency of the SDOF system or random input whose amplitude is small enough to satisfy control input constraint.https://www.jstage.jst.go.jp/article/transjsme/81/824/81_14-00545/_pdf/-char/enenergy regenerative active vibration controlmodel predictive controldisturbance modelharmonic input |
spellingShingle | Takeshi NAKAHARA Takashi FUJIMOTO The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control Nihon Kikai Gakkai ronbunshu energy regenerative active vibration control model predictive control disturbance model harmonic input |
title | The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
title_full | The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
title_fullStr | The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
title_full_unstemmed | The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
title_short | The introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
title_sort | introduction of disturbance models into model predictive controllers using harmonic inputs for energy regenerative vibration control |
topic | energy regenerative active vibration control model predictive control disturbance model harmonic input |
url | https://www.jstage.jst.go.jp/article/transjsme/81/824/81_14-00545/_pdf/-char/en |
work_keys_str_mv | AT takeshinakahara theintroductionofdisturbancemodelsintomodelpredictivecontrollersusingharmonicinputsforenergyregenerativevibrationcontrol AT takashifujimoto theintroductionofdisturbancemodelsintomodelpredictivecontrollersusingharmonicinputsforenergyregenerativevibrationcontrol AT takeshinakahara introductionofdisturbancemodelsintomodelpredictivecontrollersusingharmonicinputsforenergyregenerativevibrationcontrol AT takashifujimoto introductionofdisturbancemodelsintomodelpredictivecontrollersusingharmonicinputsforenergyregenerativevibrationcontrol |