Multi-Objective Optimization of Actuator Locations and Numbers for Piezoelectric Intelligent Trusses based on Genetic Algorithm

摘要

The locations and number of actuators in piezoelectric truss is very important. The best number and locations of actuators can make truss node displacement minimum. Based on the function of truss node displacement, this paper analysis the axial force of every bar of intelligent truss, and deduced the piezoelectric truss node displacement, and optimized the location and number of truss using genetic algorithm (GA). The results of the example show that the proposed method is effective.