Yuan, Xiaofang, Xiang, Yongzhong, Wang, Yan, Yan, Xinggang (2015) Neural Networks Based PID Control of Bidirectional Inductive Power Transfer System. Neural Processing Letters, 43 (3). pp. 837-847. ISSN 1370-4621. E-ISSN 1573-773X. (doi:10.1007/s11063-015-9453-2) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:51751)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1007/s11063-015-9453-2 |
Abstract
Inductive power transfer (IPT) systems facilitate contactless power transfer between two sides and across an air-gap, through weak magnetic coupling. However, IPT systems constitute a high order resonant circuit and, as such, are difficult to design and control. Aiming at the control problems for bidirectional IPT system, a neural networks based proportional-integral-derivative (PID) control strategy is proposed in this paper. In the proposed neural PID method, the PID gains, \(K_{P}\), \(K_{I}\) and \(K_{D}\) are treated as Gaussian potential function networks (GPFN) weights and they are adjusted using online learning algorithm. In this manner, the neural PID controller has more flexibility and capability than conventional PID controller with fixed gains. The convergence of the GPFN weights learning is guaranteed using Lyapunov method. Simulations are used to test the effective performance of the proposed controller.
Item Type: | Article |
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DOI/Identification number: | 10.1007/s11063-015-9453-2 |
Subjects: | T Technology > TJ Mechanical engineering and machinery > Control engineering |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Xinggang Yan |
Date Deposited: | 12 Nov 2015 10:51 UTC |
Last Modified: | 17 Aug 2022 10:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/51751 (The current URI for this page, for reference purposes) |
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