Smart Structures and Systems
Volume 23, Number 2, 2019, pages 155-171
DOI: 10.12989/sss.2019.23.2.155
Comparing fuzzy type-1 and -2 in semi-active control with TMD considering uncertainties
Meysam Ramezani, Akbar Bathaei and Seyed Mehdi Zahrai
Abstract
In this study, Semi-active Tuned Mass Dampers (STMDs) are employed in order to cover the prevailing uncertainties and promote the efficiency of the Tuned Mass Dampers (TMDs) to mitigate undesirable structural vibrations. The damping ratio is determined using type-1 and type-2 Fuzzy Logic Controllers (T1 and T2 FLC) based on the response of the structure. In order to increase the efficiency of the FLC, the output membership functions are optimized using genetic algorithm. The results show that the proposed FLC can reduce the sensitivity of STMD to excitation records. The obtained results indicate the best operation for T1 FLC among the other control systems when the uncertainties are neglected. According to the irrefutable uncertainties, three supplies for these uncertainties such as time delay, sensors measurement noises and the differences between real and software model, are investigated. Considering these uncertainties, the efficiencies of T1 FLC, ground-hook velocity-based, displacement-based and TMD reduce significantly. The reduction rates for these algorithms are 12.66%, 26.43%, 20.98% and 21.77%, respectively. However, due to nonlinear behavior and considering a range of uncertainties in membership functions, T2 FLC with 7.2% reduction has robust performance against uncertainties compared to other controlling systems. Therefore, it can be used in actual applications more confidently.
Key Words
semi-active tuned mass damper; fuzzy system; genetic algorithms; optimization; ground-hook control
Address
Meysam Ramezani: International Institute of Earthquake Engineering and Seismology, P.O. Box 19537-14453, Tehran, Iran
Akbar Bathaei and Seyed Mehdi Zahrai: School of Civil Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran