Genetic approach to optimal topology/controller design of adaptive structures

✍ Scribed by Xiaojian Liu; D. W. Begg; R. J. Fishwick

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 320 KB
• Volume: 41
• Category: Article
• ISSN: 0029-5981
• DOI: 10.1002/(sici)1097-0207(19980315)41:5<815::aid-nme310>3.0.co;2-o

✦ Synopsis

Integrated optimization of structural topology and control system is considered. The problem is formulated as mixed discrete-continuous multi-objective programming with a linear quadratic regulator cost index, and measures of robustness and controllability as objectives. The Genetic Algorithm (GA), a guided random search technique, is adopted for the problem-solving. A member elimination strategy that allows deleted members to be recovered is suggested in the search procedure. As verification for the proposed method, optimum layout and actuator placement for a 45-bar truss is illustrated. Numerical results indicate that the genetic algorithm can converge to optimum solutions by searching only a minor fraction of the solution space. Discussions on the algorithm are presented.