Journal
MULTIBODY SYSTEM DYNAMICS
Volume 28, Issue 4, Pages 291-311Publisher
SPRINGER
DOI: 10.1007/s11044-012-9302-2
Keywords
Flexible mechanism; Transfer matrix method; Fuzzy neural network control; Dynamic modeling; Genetic algorithm
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Funding
- Natural Science Foundation of China Government [10902051]
- Program for New Century Excellent Talents in University [NCET-10-0075]
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In this paper, a dynamic modeling method and an active vibration control scheme for a smart flexible four-bar linkage mechanism featuring piezoelectric actuators and strain gauge sensors are presented. The dynamics of this smart mechanism is described by the Discrete Time Transfer Matrix Method of Multibody System (MS-DTTMM). Then a nonlinear fuzzy neural network control is employed to suppress the vibration of this smart mechanism. For improving the dynamic performance of the fuzzy neural network, a genetic algorithm based on the MS-DTTMM is designed offline to tune the initial parameters of the fuzzy neural network. The MS-DTTMM avoids the global dynamics equations of the system, which results in the matrices involved are always very small, so the computational efficiency of the dynamic analysis and control system optimization can be greatly improved. Formulations of the method as well as a numerical simulation are given to demonstrate the proposed dynamic method and control scheme.
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