Optimal Active Control of a Wave Energy Converter
File(s)cdc2012Abraham.pdf (222.09 KB)
Accepted version
Author(s)
Abraham, E
Kerrigan, EC
Type
Conference Paper
Abstract
This paper investigates optimal active control schemes applied to a point absorber wave energy converter within a receding horizon fashion. A variational formulation of the power maximization problem is adapted to solve the optimal control problem. The optimal control method is shown to be of a bang-bang type for a power take-off mechanism that incorporates both linear dampers and active control elements. We also consider a direct transcription of the optimal control problem as a general nonlinear program. A variation of the projected gradient optimization scheme is formulated and shown to be feasible and computationally inexpensive compared to a standard NLP solver. Since the system model is bilinear and the cost function is non-convex quadratic, the resulting optimization problem is not a convex quadratic program. Results will be compared with an optimal command latching method to demonstrate the improvement in absorbed power. Time domain simulations are generated under irregular sea conditions.
Date Issued
2012-12-10
Date Acceptance
2012-12-10
Citation
2012 IEEE 51st Annual Conference on Decision and Control (CDC), 2012, pp.2415-2420
ISBN
978-1-4673-2065-8
ISSN
0743-1546
Publisher
IEEE
Start Page
2415
End Page
2420
Journal / Book Title
2012 IEEE 51st Annual Conference on Decision and Control (CDC)
Copyright Statement
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
51st IEEE Annual Conference on Decision and Control (CDC)
Subjects
Science & Technology
Technology
Automation & Control Systems
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Wave energy
Optimal control
Projected gradient method
LATCHING CONTROL
PHASE-CONTROL
DEVICE
Publication Status
Published
Start Date
2012-12-10
Finish Date
2012-12-13
Coverage Spatial
Maui, Hawaii USA