Immune Genetic Algorithm Used to Integrated Optimal Design of Active Vibration Control System for

Piezoelectric Intelligent Truss Structures

CHEN Wenying^{1, 2}  YAN Shaoze¹  CHU Fulei¹

(1. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084;
2. Beijing Special Vehicle Research Institute, Beijing 100072)

Abstract: The integrated optimization design of active vibration control system for intelligent truss structures, including the feedback gains and the positions of active/passive members, is formulated. A performance function is initially developed, based on the maximization of energy dissipation due to active vibration control action. A novel constrained immune genetic algorithm is presented to solve the kind of optimization problem with the discrete and continuous design variables. Then, according to the characteristics of the optimal problem, a new problem-specific encoding scheme, some special “immune genetic” operators and a novel antibody similarity computation method are proposed and discussed. A numerical example of a 16-bar planar intelligent truss structure is presented to demonstrate the rationality and validity of this methodology, and some useful conclusions are obtained.

Key words: Intelligent truss structures  Immune genetic algorithm  Active vibration control

CLC No: TP311.51

国家杰出青年科学基金资助项目(50425516). Received 20070317, received in revised form 20070906