Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system

The main purpose of controlling vehicle handling is to ensure that the vehicle follows the desired path. Vehicle yaw rate must be controlled in order to achieve a good vehicle handling. In this thesis, optimal Composite Nonlinear Feedback (CNF) controller with multi objective algorithms is proposed...

Full description

Saved in:

Bibliographic Details
Main Author:	Ramli, Liyana
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/53841/1/LiyanaRamliMFKE2015.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.53841
record_format	uketd_dc
spelling	my-utm-ep.538412020-09-07T02:59:09Z Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system 2015-08 Ramli, Liyana TK Electrical engineering. Electronics Nuclear engineering The main purpose of controlling vehicle handling is to ensure that the vehicle follows the desired path. Vehicle yaw rate must be controlled in order to achieve a good vehicle handling. In this thesis, optimal Composite Nonlinear Feedback (CNF) controller with multi objective algorithms is proposed for the Active Front Steering (AFS) system in improving the vehicle yaw rate response. The model used to validate the performance of the controller is a 7 degree-of-freedom (DOF) nonlinear vehicle model. This vehicle model is also simplified to a 2 DOF bicycle model for the purpose of controller design. In designing the optimal CNF control, the parameter selection of optimal linear and non-linear gain parameters becomes very important to obtain a good system response. Optimization algorithms are utilized to minimize the complexity in selecting the best parameters. Hence, Multi Objective Particle Swarm Optimization (MOPSO) and Multi Objective Genetic Algorithm (MOGA) are proposed to produce the optimal CNF. Moreover, manual tuning method was utilized and has been compared with the proposed algorithms. As a result, the performance of the yaw rate response is improved with a 98 percent reduction in error. Hence, the vehicle handling can be improved and the vehicle will be able to travel safely on the desired path. 2015-08 Thesis http://eprints.utm.my/id/eprint/53841/ http://eprints.utm.my/id/eprint/53841/1/LiyanaRamliMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86041 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ramli, Liyana Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
description	The main purpose of controlling vehicle handling is to ensure that the vehicle follows the desired path. Vehicle yaw rate must be controlled in order to achieve a good vehicle handling. In this thesis, optimal Composite Nonlinear Feedback (CNF) controller with multi objective algorithms is proposed for the Active Front Steering (AFS) system in improving the vehicle yaw rate response. The model used to validate the performance of the controller is a 7 degree-of-freedom (DOF) nonlinear vehicle model. This vehicle model is also simplified to a 2 DOF bicycle model for the purpose of controller design. In designing the optimal CNF control, the parameter selection of optimal linear and non-linear gain parameters becomes very important to obtain a good system response. Optimization algorithms are utilized to minimize the complexity in selecting the best parameters. Hence, Multi Objective Particle Swarm Optimization (MOPSO) and Multi Objective Genetic Algorithm (MOGA) are proposed to produce the optimal CNF. Moreover, manual tuning method was utilized and has been compared with the proposed algorithms. As a result, the performance of the yaw rate response is improved with a 98 percent reduction in error. Hence, the vehicle handling can be improved and the vehicle will be able to travel safely on the desired path.
format	Thesis
qualification_level	Master's degree
author	Ramli, Liyana
author_facet	Ramli, Liyana
author_sort	Ramli, Liyana
title	Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
title_short	Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
title_full	Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
title_fullStr	Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
title_full_unstemmed	Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
title_sort	optimal composite nonlinear feedback control with multi objective algorithms for active front steering system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/53841/1/LiyanaRamliMFKE2015.pdf
_version_	1747817639756955648

Optimal composite nonlinear feedback control with multi objective algorithms for active front steering system

Similar Items