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Optimal Design of Neuro-Mechanical Networks
Linköping University, Department of Management and Engineering, Mechanics. Linköping University, The Institute of Technology.
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis concerns modeling and optimal design of Neuro-Mechanical Networks. A Neuro-Mechanical Network (NMN) can be described as an active mechanical structure, made up from a network of simple but multifunctional elements that interact with their nearest neighbors. The concept is of mechatronic character as it involves integration of actuators, sensors, signal processing, and control, into a mechanical structure.

The first part of the thesis consists of three chapters. The first of these chapters contains a brief introduction to the NMN-concept and the present work. In the second chapter, the particular type of NMNs considered here is described in more detail, and the third chapter constitute a brief survey of some works relevant to optimization of active structures, including enabling technologies and static and dynamic shape control.

The second part of the thesis consists of two papers, where the first paper describes optimal design of NMNs for static shape control, while the second paper is concerned with optimal design of structures that exhibit oscillatory motion.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2011. , 38 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1495
Keyword [en]
Neuro-mechanical networks, active structures, neural networks, structural optimization
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-67847Local ID: LIU-TEK-LIC-2011:34ISBN: 978-91-7393-141-0 (print)OAI: oai:DiVA.org:liu-67847DiVA: diva2:413614
Presentation
2011-05-20, ACAS, Hus A, Campus Valla, Linköpings universitet, Linköping, 13:15 (Swedish)
Opponent
Supervisors
Available from: 2011-04-29 Created: 2011-04-29 Last updated: 2017-05-15Bibliographically approved
List of papers
1. Modeling and Optimal Design of Neuro-Mechanical Shape Memory Devices
Open this publication in new window or tab >>Modeling and Optimal Design of Neuro-Mechanical Shape Memory Devices
2012 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 45, no 2, 257-274 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we describe the modeling and optimization of what we refer to as Neuro-Mechanical Shape Memory Devices (NMSMDs). These are active mechanical structures which are designed to take on specific shapes in response to certain external stimuli. An NMSMD is a particular example of a Neuro-Mechanical Network (NMN), a mechanical structure that consists of a network of simple but multifunctional elements. In the present work, each element contains an actuator and an artificial neuron, and when assembled into a structure the elements form an actuated truss with a superimposed recurrent neural network.

The task of designing an NMSMD is cast as an optimization problem in which a measure of the error between the actual and desired shape for a number of given stimuli is minimized. The optimization problems are solved using a gradient based solver, and some numerical examples are provided to illustrate the results from the design process and some aspects of the proposed model.

Place, publisher, year, edition, pages
Springer, 2012
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-67845 (URN)10.1007/s00158-011-0684-1 (DOI)000298500500008 ()
Note
Funding agencies|National Graduate School of Scientific computing (NGSSC)||Swedish Research Council| DNR 2006-6218 |Available from: 2011-04-29 Created: 2011-04-29 Last updated: 2017-12-11Bibliographically approved
2. Optimal Design of Neuro-Mechanical Oscillators
Open this publication in new window or tab >>Optimal Design of Neuro-Mechanical Oscillators
2013 (English)In: Computers & structures, ISSN 0045-7949, E-ISSN 1879-2243, Vol. 119, 189-202 p.Article in journal (Refereed) Published
Abstract [en]

This paper concerns optimization of active mechanical systems capable of exhibiting persistent oscillatory behavior. In part inspired by biological systems possessing similar properties we refer to these systems as neuro-mechanical oscillators. The mathematical model consists of a set of nonlinear ordinary differential equations describing an actuated truss excited by a nonlinear recurrent neural network. An optimization problem is formulated with the goal of adjusting some of the parameters in the system such that when the neural network is subjected to a constant input, one of the nodes in the truss follows a prescribed trajectory in a periodic fashion. Two examples are presented to illustrate the concept, and the corresponding optimization problems are solved numerically.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-67846 (URN)10.1016/j.compstruc.2012.11.018 (DOI)000317171000017 ()
Available from: 2011-04-29 Created: 2011-04-29 Last updated: 2017-12-11Bibliographically approved

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Thore, Carl-Johan

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