✦ LIBER ✦

A new method of reduced-order feedback control using Genetic Algorithms

✍ Scribed by Kim, Yoon-Jun; Ghaboussi, Jamshid

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 312 KB
Volume: 28
Category: Article
ISSN: 0098-8847
DOI: 10.1002/(sici)1096-9845(199903)28:3<235::aid-eqe814>3.0.co;2-h

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✦ Synopsis

Genetic Algorithms (GAs) have been applied as an effective optimization search technique in various fields, including the field of control design. In this paper, a new control method using GAs is proposed to attenuate the responses of a structure under seismic excitation. The proposed controller uses the state-space reconstruction technique based on the embedding theorem to obtain full-state performance from the available reduced order feedback. The parameters of the new controller are optimized using GAs. The proposed GA-based control method is verified on a benchmark problem-active mass driver system, and the results are compared with other control methods. The robustness of the proposed control method is also examined.

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