dc.contributor.author |
Neath, MJ |
en |
dc.contributor.author |
Swain, Akshya |
en |
dc.contributor.author |
Madawala, Udaya |
en |
dc.contributor.author |
Thrimawithana, Duleepa |
en |
dc.date.accessioned |
2015-01-06T02:38:21Z |
en |
dc.date.accessioned |
2015-07-08T04:01:23Z |
en |
dc.date.issued |
2014-03 |
en |
dc.identifier.citation |
IEEE Transactions on Power Electronics, 2014, 29 (3), pp. 1523 - 1531 |
en |
dc.identifier.issn |
0885-8993 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/26184 |
en |
dc.description.abstract |
Bidirectional inductive power transfer (IPT) systems are suitable for applications that require wireless and two-way power transfer. However, these systems are high-order resonant networks in nature and, hence, design and implementation of an optimum proportional-integral-derivative (PID) controller using various conventional methods is an onerous exercise. Further, the design of a PID controller, meeting various and demanding specifications, is a multiobjective problem and direct optimization of the PID gains often lead to a nonconvex problem. To overcome the difficulties associated with the traditional PID tuning methods, this paper, therefore, proposes a derivative-free optimization technique, based on genetic algorithm (GA), to determine the optimal parameters of PID controllers used in bidirectional IPT systems. The GA determines the optimal gains at a reasonable computational cost and often does not get trapped in a local optimum. The performance of the GA-tuned controller is investigated using several objective functions and under various operating conditions in comparison to other traditional tuning methods. It was observed that the performance of the GA-based PID controller is dependent on the nature of the objective function and therefore an objective function, which is a weighted combination of rise time, settling time, and peak overshoot, is used in determining the parameters of the PID controller using multiobjective GA. Simulated and experimental results of a 1-kW prototype bidirectional IPT system are presented to demonstrate the effectiveness of the GA-tuned controller as well as to show that gain selection through multiobjective GA using the weighted objective function yields the best performance of the PID controller. |
en |
dc.relation.ispartofseries |
IEEE Transactions on Power Electronics |
en |
dc.relation.replaces |
http://hdl.handle.net/2292/23924 |
en |
dc.relation.replaces |
2292/23924 |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.ieee.org/publications_standards/publications/rights/rights_policies.html http://www.sherpa.ac.uk/romeo/issn/0885-8993/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
An Optimal PID Controller for a Bidirectional Inductive Power Transfer System Using Multiobjective Genetic Algorithm |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1109/TPEL.2013.2262953 |
en |
pubs.issue |
3 |
en |
pubs.begin-page |
1523 |
en |
pubs.volume |
29 |
en |
pubs.end-page |
1531 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
407951 |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Department of Electrical, Computer and Software Engineering |
en |
dc.identifier.eissn |
1941-0107 |
en |
pubs.record-created-at-source-date |
2015-07-08 |
en |