A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control

The free piston engine linear generator (FPELG) is a simple structure engine with only two main parts, i.e., the linear generator and a free piston engine, which has less friction, low emission, high thermal efficiency, and multi-fuel engine. However, the pistons move freely; thus, piston motion con...

Full description

Main Authors: Raheem, A.T., A. Aziz, A.R., A. Zulkifli, S., Rahem, A.T., Ayandotun, W.B.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.28568 /
Published: Elsevier B.V. 2022
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123918717&doi=10.1016%2fj.aej.2022.01.027&partnerID=40&md5=fe72cfd05f02b99d9152dd255798f9a8
http://eprints.utp.edu.my/28568/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.28568
recordtype eprints
spelling utp-eprints.285682022-03-07T07:45:00Z A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control Raheem, A.T. A. Aziz, A.R. A. Zulkifli, S. Rahem, A.T. Ayandotun, W.B. The free piston engine linear generator (FPELG) is a simple structure engine with only two main parts, i.e., the linear generator and a free piston engine, which has less friction, low emission, high thermal efficiency, and multi-fuel engine. However, the pistons move freely; thus, piston motion control (PMC) is a crucial technical challenge that affects both the performance and stability of FPELG. This review addresses different control techniques and operation parameters of FPELG. Through this review, a new taxonomy method is proposed based on two main groups of control strategies, i.e., the linear-FPE and others-FPE control. The linear-FPE control is classified into the PMC, linear electric machine control, switching control, and combined control. According to this taxonomy, a selection of previous studies was thoroughly analyzed to identify new research directions related to FPELG. The statistical analysis and observations demonstrate that very few studies have used advanced control techniques, e.g., fuzzy logic, neural network, and PID with the genetic algorithm controls, for the FPELG. Some operation parameters require further investigation. Therefore, based on this review, researchers can explore new research directions and select a suitable technique to solve PMC issues of FPELG. This review thus constitutes a useful reference for researchers. © 2022 THE AUTHORS Elsevier B.V. 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123918717&doi=10.1016%2fj.aej.2022.01.027&partnerID=40&md5=fe72cfd05f02b99d9152dd255798f9a8 Raheem, A.T. and A. Aziz, A.R. and A. Zulkifli, S. and Rahem, A.T. and Ayandotun, W.B. (2022) A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control. Alexandria Engineering Journal, 61 (10). pp. 7877-7916. http://eprints.utp.edu.my/28568/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The free piston engine linear generator (FPELG) is a simple structure engine with only two main parts, i.e., the linear generator and a free piston engine, which has less friction, low emission, high thermal efficiency, and multi-fuel engine. However, the pistons move freely; thus, piston motion control (PMC) is a crucial technical challenge that affects both the performance and stability of FPELG. This review addresses different control techniques and operation parameters of FPELG. Through this review, a new taxonomy method is proposed based on two main groups of control strategies, i.e., the linear-FPE and others-FPE control. The linear-FPE control is classified into the PMC, linear electric machine control, switching control, and combined control. According to this taxonomy, a selection of previous studies was thoroughly analyzed to identify new research directions related to FPELG. The statistical analysis and observations demonstrate that very few studies have used advanced control techniques, e.g., fuzzy logic, neural network, and PID with the genetic algorithm controls, for the FPELG. Some operation parameters require further investigation. Therefore, based on this review, researchers can explore new research directions and select a suitable technique to solve PMC issues of FPELG. This review thus constitutes a useful reference for researchers. © 2022 THE AUTHORS
format Article
author Raheem, A.T.
A. Aziz, A.R.
A. Zulkifli, S.
Rahem, A.T.
Ayandotun, W.B.
spellingShingle Raheem, A.T.
A. Aziz, A.R.
A. Zulkifli, S.
Rahem, A.T.
Ayandotun, W.B.
A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
author_sort Raheem, A.T.
title A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
title_short A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
title_full A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
title_fullStr A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
title_full_unstemmed A review of free piston engine control literature�Taxonomy and techniques: A review of free piston engine control
title_sort review of free piston engine control literature�taxonomy and techniques: a review of free piston engine control
publisher Elsevier B.V.
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123918717&doi=10.1016%2fj.aej.2022.01.027&partnerID=40&md5=fe72cfd05f02b99d9152dd255798f9a8
http://eprints.utp.edu.my/28568/
_version_ 1741197122874638336
score 11.62408

Similar Items