Sliding Mode Control Optimized by Genetic Algorithm for Building Model

Creative Commons License

Ozer H. Ö., Sayin A., Korkmaz N., Yagiz N.

JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, cilt.4, sa.1, ss.13-19, 2016 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 4 Sayı: 1
  • Basım Tarihi: 2016
  • Dergi Adı: JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.13-19
  • Anahtar Kelimeler: Sliding mode controller, Genetic algorithm, Multi-objective genetic algorithm, Building model, Active tuned mass damper, Simulation of building vibration, OPTIMUM ABSORBER PARAMETERS, DAMPED RESONANT APPENDAGES, TUNED-MASS DAMPERS, SEISMIC RESPONSE, FUZZY-LOGIC, SYSTEMS
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

Sliding Mode Control (SMC) has been used in many mechanical systems and structural system due to its robustness, simplicity and high control performance. However, choosing optimum parameters for systems is still an important research area. This study presents a numerical analysis to decrease the effect of earthquake vibrations on building model having Active Tuned Mass Damper (ATMD). The system is excited by an earthquake and a linear motor is used as the control device. ATMD is installed on top floor of building model. Tuning of Sliding Mode Controller (SMC) with Genetic Algorithm (GA) is designed for a three storey building model with ATMD. SMC parameters have been chosen by GA with a single objective function and a multiple objective function. Then, simulation results of uncontrolled and controlled model are compared. The results show that building model with SMC tuned by GA is effective to decrease the effects of earthquakes.