Convolution of the Control Strategy: a new Convolution Integral to optimize a General Control Force Strategy that minimizes the response of the oscillatory systems subjected to an arbitrary excitation
Genetic Algorithm is used to optimize a control strategy against shock input, and then Convolution Integral is used to obtain a general control force strategy against arbitrary excitation by shifting, scaling and summation of the optimized control strategy.
Numerical tests are carried out on a two-degree of freedom quarter-vehicle model. The results demonstrate the effectiveness of using the proposed method for active suspension systems. In addition, it presents that the new method can achieve a real time control of systems subjected to an arbitrary excitation.
ISoLA - IEEE - Cyprus
2006.
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