Controlling the Building Model Using High Order Sliding Mode Control Optimized by Multi Objective Genetic Algorithm

HASAN OMUR OZER, Yuksel Hacioglu, Nurkan Yagiz

Abstract


High Order Sliding mode control (HOSMC) has been used in many mechanical systems and structural system due to its accuracy, chattering attenuation and high control performance. However, choosing controller 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 High Order Sliding Mode Controller (HOSMC) using Super Twisting Algorithm with Multi Objective Genetic Algorithm (MOGA) is designed for a three storey building model with ATMD. HOSMC parameters have been chosen by MOGA with multiple objective functions. Then, simulation results of uncontrolled and controlled model are compared. The results show that building model with HOSMC tuned by MOGA is effective to decrease the effects of vibrations.

Keywords


High Order Sliding Mode Controller; Multi-Objective Genetic Algorithm; Building Model; Active Tuned Mass Damper; Simulation.

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DOI: http://dx.doi.org/10.21533/pen.v5i3.91

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ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License