A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter

Historically, the MPC has been successfully applied in drives system for over a decade. Furthermore, the DC-DC converter naturally deals with high switching phenomenon that contributes to the challenging in control approach. Its operation conventionally associated with PI/PID controller in order to...

Full description

Saved in:

Bibliographic Details
Main Author:	Erliza, Serri
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19776/1/A%20short%20predictive%20Model%20Predictive%20Control%20%28MPC%29%20approach%20for%20hybrid%20characteristics%20analysis%20in%20DC-DC%20converter..pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-ump-ir.19776
record_format	uketd_dc
spelling	my-ump-ir.197762023-03-20T03:55:56Z A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter 2017-07 Erliza, Serri TK Electrical engineering. Electronics Nuclear engineering Historically, the MPC has been successfully applied in drives system for over a decade. Furthermore, the DC-DC converter naturally deals with high switching phenomenon that contributes to the challenging in control approach. Its operation conventionally associated with PI/PID controller in order to meet the desired output. However, the PI/PID controller lacking in getting a good transient response since this controller highly depends on the controller gains. Recently, an advanced controller has been proposed in the literature for the purpose to enhance the DC-DC converter performance. Hence, in this thesis, the short prediction horizon of MPC using search tree optimization that generates low switching states phenomenon is proposed. The MPC algorithm is developed based on the hybrid characteristic signals from the DC-DC converter. The load changes due to the increasing or decreasing the loads (could be happened of heating effect) will affect the tracking of the output voltage. The Kalman Filter (KF) is used for load estimation for smoothing and tracking the output voltage. The performance of short prediction horizons is being compared to PI controller in terms of transient response during the start-up scenario. The results show that the proposed controller has a better response than PI controller, which is the overshoot has been reduced to more than 50% and the settling time more faster about 25% than PI controller during start-up scenario. Therefore, this control approach for DC-DC buck converter has produced the promising output transient performance when compared with the conventional PI controller while also minimizing the switching sequence phenomenon. 2017-07 Thesis http://umpir.ump.edu.my/id/eprint/19776/ http://umpir.ump.edu.my/id/eprint/19776/1/A%20short%20predictive%20Model%20Predictive%20Control%20%28MPC%29%20approach%20for%20hybrid%20characteristics%20analysis%20in%20DC-DC%20converter..pdf pdf en public masters Universiti Malaysia Pahang Faculty of Electrical and Electronics Engineering Ahmad, Abu Zaharin
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Ahmad, Abu Zaharin
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Erliza, Serri A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
description	Historically, the MPC has been successfully applied in drives system for over a decade. Furthermore, the DC-DC converter naturally deals with high switching phenomenon that contributes to the challenging in control approach. Its operation conventionally associated with PI/PID controller in order to meet the desired output. However, the PI/PID controller lacking in getting a good transient response since this controller highly depends on the controller gains. Recently, an advanced controller has been proposed in the literature for the purpose to enhance the DC-DC converter performance. Hence, in this thesis, the short prediction horizon of MPC using search tree optimization that generates low switching states phenomenon is proposed. The MPC algorithm is developed based on the hybrid characteristic signals from the DC-DC converter. The load changes due to the increasing or decreasing the loads (could be happened of heating effect) will affect the tracking of the output voltage. The Kalman Filter (KF) is used for load estimation for smoothing and tracking the output voltage. The performance of short prediction horizons is being compared to PI controller in terms of transient response during the start-up scenario. The results show that the proposed controller has a better response than PI controller, which is the overshoot has been reduced to more than 50% and the settling time more faster about 25% than PI controller during start-up scenario. Therefore, this control approach for DC-DC buck converter has produced the promising output transient performance when compared with the conventional PI controller while also minimizing the switching sequence phenomenon.
format	Thesis
qualification_level	Master's degree
author	Erliza, Serri
author_facet	Erliza, Serri
author_sort	Erliza, Serri
title	A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
title_short	A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
title_full	A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
title_fullStr	A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
title_full_unstemmed	A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter
title_sort	short predictive model predictive control (mpc) approach for hybrid characteristics analysis in dc-dc converter
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Electrical and Electronics Engineering
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19776/1/A%20short%20predictive%20Model%20Predictive%20Control%20%28MPC%29%20approach%20for%20hybrid%20characteristics%20analysis%20in%20DC-DC%20converter..pdf
_version_	1783732048995811328

A short predictive Model Predictive Control (MPC) approach for hybrid characteristics analysis in DC-DC converter

Similar Items