| Truss structure has been widely applied to many fields because of its light weight,simple manufacturing and construction, strong bearing capacity and other properties inrecent years. But because of the complexity of the structure and its surroundings tomake the control of the structure become more and more important, adding actuatorsand sensors in truss structure is an active control method which can make the structurebe stable faster under external excitation. Although the large number of actuators andsensors will achieve the purpose of the control easier, too much number also canincrease the difficulty of control, it can increase the control energy, thereby increase thecost of control. The unreasonable position of actuators also can make the control effectreduce; even can destroy the control system of the structure. Therefore, in order tocontrol the structure better, it is necessary to optimize the number and position ofactuators and sensors. The research on optimization of number and position of actuatorsand sensors has great value in both theory and application.This paper takes the intelligent truss as the research object and analyzes the stressdistribution of the actuator and the intelligent truss, puts forward the coefficient ofactuators to make the number and locations of actuators be optimized at the same timespecific to the fewer research on number optimization. For the finite element analysisand modeling of intelligent truss, modal superposition method and modal truncationmethod are used to reduce order. As the genetic algorithms with random selection willcause the individual concentration, adaptive genetic algorithm is used to let crossoveroperator and mutation operator change with the change of fitness, so as to avoid gettingthe local optimal solution and get the optimal solution of the problem. The results of theexamples show that the model built in this paper is correct and the genetic algorithms iseffective in solving the optimization question. |
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