KONTROL AKTIF KEKAKUAN DAN MASSA STRUKTUR DENGAN MENGGUNAKAN JARINGAN SARAF TIRUAN
Abstract
This paper presents a theoretical and experimental study on active control structure excited by seismic loads using artificial neural network Artificial neural network is used to calculate the control force based on acceleration of the structure which is obtained by accelerometer measurement. The control mechanism is implemented on the structure using active stiness and mass based on continuous vibration measurement. The reability of the active control system with artificial neural network has been tested experimentally using a reduced model of two=storey steel ame excited by base acceleration through a small shaking table. The experimental study shows that the artificial neural network control method gives satisfactory results for many types of base excitation such as random and El-Centro N-S earthquake accelerations. The neuro control algorithm is simple and reduces consideranbly computational time.
References
Setio, H.D., Halim, Budi, S., Gunawan, Tommy, Setio, S., "Studi Eksperimental Kontrol Aktif Struktur dengan Menggunakan Jaringan Saraf Tiruan", Presiding Konferensi Nasional Rekayasa Kegempaan, ITB, hal. VII-1. 4-S November, 1999.
Setio, H.D.,Setio, S., Foek Cong, Wong, "Kontrol Vibrasi Aktif Struktur dengan Menggunakan Observer Jaringan Saraf Tiruan", Prosiding Lokakarya dan Seminar , Sistem Kendali di Industri, 1998.
Setio, H.D.,Setio, S., Timoteus, "Observer Design on Actively Controlled Stmcture Under Seismic Excitation", Proceedings of the Computational Methods and Simulation in Engineering, ECL, Lyon, France, I997.
Setio, S., Setio, H.D. and Jezequel, L., A Method of Non-Linear Modal Identification from Frequency Response Tests, Joumal of Sound and Vibration, pp 497-515, 158(3), 1992.
