Simultaneous optimization of topology of structural systrem and control system by genetic algorithms

An improved method of our previous simultaneous optimization method of structural and control systems is presented by utilizing the multilayered genetic algorithms under the special consideration on structural topology, parameters and collocations of control devices together with feedback gain parameters. In this study, we improve the previous method easy to consider both the numbers of sensors and actuators and their collocations. The improved method consists of three level optimizations by genetic algorithms. At the first step, topology optimization is held and then at the second step structural shape optimization, collocation and number optimizations of sensors and actuators are held in the first level and then optimum gains in the second level. Between the first and the second level informations are exchanged. Many numerical examples were obtained by the proposed method. The effectiveness of the proposed method was confirmed through those numerical examples.