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Smart Structures and Systems
  Volume 9, Number 3, March 2012 , pages 231-251

Stochastic optimal control analysis of a piezoelectric shell subjected to stochastic boundary perturbations
Z.G. Ying, J. Feng, W.Q. Zhu and Y.Q. Ni

    The stochastic optimal control for a piezoelectric spherically symmetric shell subjected to stochastic boundary perturbations is constructed, analyzed and evaluated. The stochastic optimal control problem on the boundary stress output reduction of the piezoelectric shell subjected to stochastic boundary displacement perturbations is presented. The electric potential integral as a function of displacement is obtained to convert the differential equations for the piezoelectric shell with electrical and mechanical coupling into the equation only for displacement. The displacement transformation is constructed to convert the stochastic boundary conditions into homogeneous ones, and the transformed displacement is expanded in space to convert further the partial differential equation for displacement into ordinary differential equations by using the Galerkin method. Then the stochastic optimal control problem of the piezoelectric shell in partial differential equations is transformed into that of the multi-degree-of-freedom system. The optimal control law for electric potential is determined according to the stochastic dynamical programming principle. The frequency-response function matrix, power spectral density matrix and correlation function matrix of the controlled system response are derived based on the theory of random vibration. The expressions of mean-square stress, displacement and electric potential of the controlled piezoelectric shell are finally obtained to evaluate the control effectiveness. Numerical results are given to illustrate the high relative reduction in the root-mean-square boundary stress of the piezoelectric shell subjected to stochastic boundary displacement perturbations by the optimal electric potential control.
Key Words
    piezoelectric shell; stochastic vibration; optimal control; boundary perturbation; stochastic response
Z.G. Ying, J. Feng and W.Q. Zhu : Department of Mechanics, School of Aeronautics and Astronautics, Zhejiang University,
Hangzhou 310027, P. R. China
Y.Q. Ni : Department of Civil and Structural Engineering, The Hong Kong Polytechnic University,
Kowloon, Hong Kong

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