Multi-level design model and genetic algorithm for structural control system optimization

The integrated optimum problem of structures subjected to strong earthquake s and wind excitations, optimizing the number of actuators, the configurati on of actuators and the control algorithms simultaneously, is studied. Two control algorithms, optimal control and acceleration feedback control, are used as the control algorithms. A multi-level optimization model is propose d with respect to the solution procedure of the optimum problem. The charac teristics of the model are analysed, and the formulation of each suboptimiz ation problem at each level is presented. To solve the multi-level optimiza tion problem, a multi-level genetic algorithm (MLGA) is proposed. The propo sed model and MLGA are used to solve two multi-level optimization problems in which the optimization of the number of actuators, the positions of actu ators and the control algorithm are considered in different levels. In prob lem 1, an example structure is excited by strong wind, and in problem 2, an example structure is subjected to strong earthquake excitation. Copyright (C) 2001 John Wiley & Sons, Ltd.