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Structural Engineering and Mechanics
  Volume 87, Number 3, August10 2023 , pages 231-242
DOI: https://doi.org/10.12989/sem.2023.87.3.231
 


A generalized ANFIS controller for vibration mitigation of uncertain building structure
Javad Palizvan Zand, Javad Katebi and Saman Yaghmaei-Sabegh

 
Abstract
    A novel combinatorial type-2 adaptive neuro-fuzzy inference system (T2-ANFIS) and robust proportional integral derivative (PID) control framework for intelligent vibration mitigation of uncertain structural system is introduced. The fuzzy logic controllers (FLCs), are designed independently of the mathematical model of the system. The type-1 FLCs, have a limited ability to reduce the effect of uncertainty, due to their fuzzy sets with a crisp degree of membership. In real applications, the consequent part of the fuzzy rules is uncertain. The type-2 FLCs, are robust to the fuzzy rules and the process parameters due to the fuzzy degree of membership functions and footprint of uncertainty (FOU). The adaptivity of the proposed method is provided with the optimum tuning of the parameters using the neural network training algorithms. In our approach, the PID control force is obtained using the generalized type-2 neuro-fuzzy in such a way that the stability and robustness of the controller are guaranteed. The robust performance and stability of the presented framework are demonstrated in a numerical study for an eleven-story seismically-excited building structure combined with an active tuned mass damper (ATMD). The results indicate that the introduced type-2 neuro-fuzzy PID control scheme is effective to attenuate plant states in the presence of the structured and unstructured uncertainties, compared to the conventional, type-1 FLC, type-2 FLC, and type-1 neuro-fuzzy PID controllers.
 
Key Words
    soft computing; the footprint of uncertainty; type-2 FLC; type-2 neuro-fuzzy PID; uncertainty
 
Address
Javad Palizvan Zand, Javad Katebi and Saman Yaghmaei-Sabegh: Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
 

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