GA-optimized fuzzy logic control of high-rise building for wind loads

Shi Yan; Wei Zheng; Gangbing Song

doi:10.1117/12.815761

30 March 2009 GA-optimized fuzzy logic control of high-rise building for wind loads

Shi Yan, Wei Zheng, Gangbing Song

Proceedings Volume 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009; 729243 (2009) https://doi.org/10.1117/12.815761
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

A fuzzy logic control (FLC) algorithm optimized by the genetic algorithm (GA) is developed in the paper for the benchmark problem application regarding the vibration control of tall buildings under along wind excitation. The adopted control scheme consists of an MR damper which the control action is achieved by a Fuzzy Controller. The fuzzy rules for the controller are optimized by the genetic algorithm to enhance the efficiency of the control system. A fuzzy strategy of two-input and single-output variables is adopted in the control system. The fuzzy subset and rules base for the controller are optimized by the genetic algorithm to further decrease the responses of the controlled structure. The robustness of the controller has been demonstrated through the uncertainty in stiffness (15% and -15% variations from initial stiffness) of the building. The results of the simulation show a good performance by the fuzzy controller for all tested cases.

Citation Download Citation

Shi Yan, Wei Zheng, and Gangbing Song "GA-optimized fuzzy logic control of high-rise building for wind loads", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 729243 (30 March 2009); https://doi.org/10.1117/12.815761

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