scholarly journals Smart Panel

Author(s):  
Luís Carvalho ◽  
Paulo Vaz
Keyword(s):  

Na sociedade atual, a preocupação com o ambiente, por um lado, e com o conforto e a segurança, por outro, faz com que a sustentabilidade energética se assuma como uma forma de intervenção adequada às exigências de qualidade de vida e à eficiência no âmbito da economia. Nesta conformidade, é incontornável a mais-valia do Smart Panel, um quadro elétrico inteligente criado pela Schneider-Electric com vista à consecução daqueles desideratos.Iremos abordar, neste artigo, a gama de produtos que perfazem esta tecnologia, fazendo uma breve descrição de cada um deles, expondo de seguida um exemplo de aplicação desta tecnologia. Numa fase posterior apresentaremos as vantagens do Smart Panel face à tecnologia tradicional (até hoje a mais comum) no que respeita ao controlo de um quadro elétrico, Sistema de Gestão Técnica Centralizada.

2020 ◽  
Vol 148 (4) ◽  
pp. 2718-2718
Author(s):  
Paolo Gardonio ◽  
Gabriel Konda Rodrigues ◽  
Loris Dal Bo ◽  
Emanuele Turco

2002 ◽  
Vol 124 (2) ◽  
pp. 265-276 ◽  
Author(s):  
W. Chang ◽  
Senthil V. Gopinathan ◽  
V. V. Varadan ◽  
V. K. Varadan

This paper presents a model reduction method and uncertainty modeling for the design of a low-order H∞ robust controller for suppression of smart panel vibration. A smart panel with collocated piezoceramic actuators and sensors is modeled using solid, transition, and shell finite elements, and then the size of the model is reduced in the state space domain. A robust controller is designed not only to minimize the panel vibration excited by applied uniform acoustic pressure, but also to be reliable in real world applications. This paper introduces the idea of Modal Hankel Singular values (MHSV) to reduce the finite element model to a low-order state space model with minimum model reduction error. MHSV measures balanced controllability and observability of each resonance mode to deselect insignificant resonance modes. State space modeling of realistic control conditions are formulated in terms of uncertainty variables. These uncertainty variables include uncertainty in actuators and sensors performances, uncertainty in the knowledge of resonance frequencies of the structure, damping ratio, static stiffness, unmodeled high resonance vibration modes, etc. The simplified model and the uncertainty model are combined as an integrated state space model, and then implemented in the H∞ control theory for controller parameterization. The low-order robust controller is easy to implement in an analog circuit to provide a low cost solution in a variety of applications where cost may be a limiting factor.


Author(s):  
Raghav Raman ◽  
R. Rubena Banu ◽  
M. Shrinithi ◽  
A. Umamakeswari ◽  
Radhakrishnan Rajaram ◽  
...  

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