SavedAdd your journal

Journals / Challenge Journal of Structural Mechanics / 2019 / Cilt: 5 - Sayı: 4

Optimization of PID controller parameters for active control of single degree of freedom structures

Serdar ULUSOY
Sinan Melih NİĞDELİ
Gebrail BEKDAŞ
Pages
130–140
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The performances and feasibility of the method were evaluated by using sets of near fault earthquake records.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In active control of structures, the parameters of controllers used application must be perfectly tuned.
📊
Key Findings & Data:In that case, a good vibration reduction performance can be obtained without a stability problem.
💡
Conclusion & Impact:The performances and feasibility of the method were evaluated by using sets of near fault earthquake records.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

In active control of structures, the parameters of controllers used application must be perfectly tuned. In that case, a good vibration reduction performance can be obtained without a stability problem. During the tuning process, the limit of control force and time delay of controller system must be considered for applicable design. In the study, the optimum parameters of Proportional-Derivative-Integral (PID) type controllers that are proportional gain (K), integral time (Ti) and derivative time (Td) were optimized by using teaching learning-based optimization (TLBO). TLBO is a metaheuristic algorithm imitating the teaching and learning phases of education in classroom. The optimization was done according to the responses of the structure under a directivity pulse of near fault ground motions. In the study, time delay was considered as 20 ms and the optimum parameters of PID controller for a single degree of freedom (SDOF) structural model was found for different control force limits. The performances and feasibility of the method were evaluated by using sets of near fault earthquake records.

🔖

Cite This Article

ULUSOY, S., NİĞDELİ, S. M., BEKDAŞ, G. (2019). Optimization of PID controller parameters for active control of single degree of freedom structures. Challenge Journal of Structural Mechanics, Cilt: 5 - Sayı: 4, 130–140. https://ajindex.com/articles/147685

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Aldemir U, Bakioglu M (2001). Active structural control based on the prediction and degree of stability. Journal of Sound and Vibration, 247(4), 561-576.
  2. Amini F, Samani MZ (2014). A wavelet-based adaptive pole assignment method for structural control. Computer‐Aided Civil and Infrastructure Engineering, 29(6), 464-477.
  3. Bakule L, Rehák B, Papík M (2016). Decentralized networked control of building structures. Computer‐Aided Civil and Infrastructure Engineering, 31(11), 871-886.
  4. Bitaraf M, Hurlebaus S, Barroso, LR (2012). Active and semi-active adaptive control for undamaged and damaged building structures under seismic load. Computer‐Aided Civil and Infrastructure Engineering, 27(1), 48-64.
  5. Chang CC, Lin CC (2009). H∞ drift control of time-delayed seismic structures. Earthquake Engineering and Engineering Vibration, 8(4), 617-626.
  6. Lin CC, Chang CC, Wang JF (2010). Active control of irregular buildings considering soil–structure interaction effects. Soil Dynamics and Earthquake Engineering, 30(3), 98-109.
  7. Makris N (1997). Rigidity–plasticity–viscosity: Can electrorheological dampers protect base-isolated structures from near-source ground motions? Earthquake Engineering & Structural Dynamics, 26(5), 571-591.
  8. Nazarimofrad E, Zahrai SM (2017). Fuzzy control of asymmetric plan buildings with active tuned mass damper considering soil-structure interaction. Soil Dynamics and Earthquake Engineering, 115, 838-852
  9. Nigdeli SM, Boduroğlu MH (2013). Active tendon control of torsionally irregular structures under near-fault ground motion excitation. Computer‐Aided Civil and Infrastructure Engineering, 28(9), 718-736.
  10. Nigdeli SM, Boduroğlu MH (2014). Robustness against Time Delay and Control Force Capacity for Torsionally Irregular Active Controlled Structures. 5th European Conference of Civil Engineering (ECCIE'14), Florence, Italy. Rao RV, Savsani VJ, Vakharia DP (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.
  11. Ulusoy S, Nigdeli SM, Bekdas G. (2018). Time delay factor of structural control systems for excitations with and without pulses. International Journal of Theoretical and Applied Mechanics, 3, 74-81.
  12. Wang N, Adeli H (2015). Self-constructing wavelet neural network algorithm for nonlinear control of large structures. Engineering Applications of Artificial Intelligence, 41, 249-258.
  13. Wu JC, Yang JN, Agrawal AK (1998). Applications of sliding mode control to b