Métodos de identificação e redução de modelos para atenuação de vibrações em estruturas inteligentes

• Ano de defesa: 2012
• Autor(a) principal: Conceição, Sanderson Manoel da [UNESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Vibração; Kalman, Filtragem de; Controle automatico; Vibration
• Link de acesso: http://hdl.handle.net/11449/124426; http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/18-06-2015/000837487.pdf

This work presents two methods of system identification of models in state space. The first method, uses Eigensystem Realization Algorithm, (ERA), for identifying the state space matrices via impulse response of the system. The second method, ERA/OKID, also identifies state space matrices, however, in this method, the input data are not limited to the impulsive response, and any signal can be used as input signal. It can be a significant advantage for practical situations. Both methods were applied for experimental identification of a cantilever aluminium beam. The input excitation in beam used white noise through a (Lead-Zirconate-Titanate) PZT actuator and the beam response was measured using a PVDF (Polyvinilidene-Fluoride) sensor. The controller was designed for state feedback using the state space matrices obtained previously. The Linear Quadratic Regulator, (LQR), was used for simplicity of design and easy implementation. A state observer was also used to feedback the unmeasured states. The controller was effective to minimize the vibrations of the structure when it was subjected to an external disturbance