Journal ArticleDOI
Optimization Criteria for Optimal Placement of Piezoelectric Sensors and Actuators on a Smart Structure: A Technical Review
TLDR
In this paper, the authors present various optimization criteria used by researchers for optimal placement of piezoelectric sensors and actuators on a smart structure, including modal forces/moments applied by actuators, maximizing deflection of the host structure, minimizing control effort/maximizing energy dissipated, maximizing degree of controllability, and minimizing degree of observability.Abstract:
This article presents in a unified way, the various optimization criteria used by researchers for optimal placement of piezoelectric sensors and actuators on a smart structure. The article discusses optimal placement of piezoelectric sensors and actuators based upon six criteria: (i) maximizing modal forces/moments applied by piezoelectric actuators, (ii) maximizing deflection of the host structure, (iii) minimizing control effort/maximizing energy dissipated, (iv) maximizing degree of controllability, (v) maximizing degree of observability, and (vi) minimizing spill-over effects. Optimal piezoelectric sensor and actuator locations on beam and plate structures for each criterion and modes of interest are presented in a tabular form. This technical review has two objectives: (i) practicing engineers can pick the most suitable philosophy for their end application and (ii) researchers can come to know about potential gaps in this area.read more
Citations
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Journal ArticleDOI
Controllability and Observability of Network-of-Networks via Cartesian Products
TL;DR: A compositional framework for extending the controllability and observability of the factor networks to that of the composite network-of-networks via its symmetry and gramian structure is provided.
Journal ArticleDOI
Review on the use of piezoelectric materials for active vibration, noise, and flow control
TL;DR: The research carried out in the past five years, in the areas of modeling, and optimal positioning of piezoelectric actuators/sensors, for active vibration control, are covered.
Journal ArticleDOI
An algorithm for LQ optimal actuator location
TL;DR: A subgradient-based optimization scheme which leads to the global solution of the problem is used to optimize actuator locations and is compared with a genetic algorithm, and is observed to be faster and more accurate.
Book
Smart Structures Theory
Inderjit Chopra,Jayant Sirohi +1 more
TL;DR: In this article, the authors focus on smart materials, structures and systems, which are also referred to as intelligent, adaptive, active, sensory and metamorphic, and the purpose of these materials from the perspective of smart systems is their ability to minimize life-cycle cost and/or expand the performance envelope.
Journal ArticleDOI
Vibration control of smart hull structure with optimally placed piezoelectric composite actuators
TL;DR: In this article, an active vibration control to suppress structural vibration of the smart hull structure was investigated based on optimized actuator configurations using anisotropic piezoelectric composite actuator, Macro-Fiber Composite (MFC), was used for the vibration control.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
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An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
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