Abstract
In this paper, a computational approach is adopted to solve the optimal control and optimal parameter selection problems of a rotating flexible beam fully covered with active constrained layer damping (ACLD) treatment. The beam rotates in a vertical plane under the gravitational effect with variable angular velocity and carries an end mass. Tangent coordinate system and the moving coordinate system are used in the system modeling. Due to the highly nonlinear and coupled characteristics of the system, a relative description method is used to represent the motion of the beam and the motion equations are set up by using relative motion variables. Finite element shape functions of a cantilever beam are used as the displacement shape functions in this study. Lagrangian formulation and Raleigh-Ritz approach are employed to derive the governing equations of motion of the nonlinear time-varying system. The problem is posed as a continuous-time optimal control problem. The control function parameters are the control gains. The two system parameters are the thickness of the constraining layer and the viscoelastic material layer. The software package MISER3.2, which is based on the Control Parametrization and the Control Parametrization Enhancing Transform (CPET) techniques is used to solve the combined problems. The optimal solution takes the end deflection, control voltage and the total weight into account. Results show that substantial improvements are obtained with ACLD as compared to the passive constrained layer damping (PCLD) treatment.
Original language | English |
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Article number | 62205 |
Pages (from-to) | 271-279 |
Number of pages | 9 |
Journal | American Society of Mechanical Engineers, Aerospace Division (Publication) AD |
Volume | 69 |
DOIs | |
Publication status | Published - 1 Jan 2004 |
Event | 2004 ASME International Mechanical Engineering Congress and Exposition - Anaheim, CA, United States Duration: 13 Nov 2004 → 19 Nov 2004 |
ASJC Scopus subject areas
- Mechanical Engineering
- Space and Planetary Science