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A new method of reduced order feedback control using Genetic Algorithms
Author(s) -
Kim YoonJun,
Ghaboussi Jamshid
Publication year - 1999
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/(sici)1096-9845(199902)28:2<193::aid-eqe811>3.0.co;2-x
Subject(s) - robustness (evolution) , benchmark (surveying) , control theory (sociology) , embedding , algorithm , engineering , genetic algorithm , computer science , control (management) , mathematical optimization , mathematics , artificial intelligence , biochemistry , chemistry , geodesy , gene , geography
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. Copyright © 1999 John Wiley & Sons, Ltd.