journal article·2021-02-13Open access

Performance of Optimum Tuned PID Controller with Different Feedback Strategies on Active-Controlled Structures

Serdar Ulusoy, Gebrail Bekdaş, Sinan Melih Nigdeli, Sanghun Kim, Zong Woo Geem

Applied Sciences· Volume 11· Issue 4

Abstract

In this study, multi-story structures with different combinations (on each floor and only the first floor) of active tendon control systems driven by a proportional–integral–derivative (PID) controller were actively controlled. The PID parameters, Kp (proportional gain), Td (derivative gain), and Ti (integral gain) for each structure, were optimally tuned by using both the harmony search algorithm (HS) and flower pollination algorithm (FPA), which are metaheuristic algorithms. In two different active-controlled structures, which are formed according to the position of the PID, the structural responses under near-fault records defined in FEMA P-695 are examined to determine the appropriate feedback which was applied for displacement, velocity, acceleration, and total acceleration. The performance of the different feedback strategies on these two active-controlled structures is evaluated. As a result, the acceleration feedback is suitable for all combinations of the active control system with a PID controller. The HS algorithm outperforms the optimum results found according to the FPA.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Vibration Control and Rheological Fluids · Seismic Performance and Analysis · Vibration and Dynamic Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil Engineering, Turkish-German University, Istanbul 348200, Turkey

Department of Civil Engineering, Istanbul University—Cerrahpaşa, Istanbul 34310, Turkey

Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA

College of IT Convergence, Gachon University, Seongnam 13120, Korea

Funding

National Research Foundation of Korea

References (25)

Show source-provided references
1. Kinetic structures
2. Control of tall buildings in along-wind motion10.1061/(ASCE)0733-9445(1983)109:1(50) ↗
3. Active control of tall buildings10.1061/(ASCE)0733-9445(1983)109:3(628) ↗
4. Active control of seismic-excited buildings10.1061/(ASCE)0733-9445(1985)111:10(2165) ↗
5. Experimental study of active control for MDOF seismic structures10.1061/(ASCE)0733-9399(1989)115:8(1609) ↗
6. Acceleration feedback control of seismic structures10.1016/S0141-0296(97)00060-6 ↗
7. Effect of feedback on PID controlled active structures under earthquake excitations10.12989/eas.2014.6.2.217 ↗
8. Active structural control via metaheuristic algorithms considering soil-structure interaction
9. Novel metaheuristic-based tuning of PID controllers for seismic structures and verification of robustness10.1016/j.jobe.2020.101647 ↗
10. Passive and active control of three-dimensional buildings10.1002/(SICI)1096-9845(200003)29:3<377::AID-EQE911>3.0.CO;2-C ↗
11. A new numerical algorithm for sub-optimal control of earthquake excited linear structures10.1002/nme.137 ↗
12. Fuzzy sliding-mode control of structures10.1016/j.engstruct.2004.10.007 ↗
13. Active tendon control of torsionally irregular structures under near-fault ground motion excitation10.1111/mice.12046 ↗
14. Neuro-genetic algorithm for non-linear active control of structures10.1002/nme.2274 ↗
15. Neural based sliding-mode control with moving sliding surface for the seismic isolation of structures10.1177/1077546310395964 ↗
16. Sliding mode and PID control of a structural system against earthquake10.1016/j.mcm.2006.01.014 ↗
17. Active tendons control of structures using block pulse functions10.1002/stc.1656 ↗
18. Kayabekir, A.E., Bekdaş, G., Nigdeli, S.M., and Geem, Z.W. (2020). Optimum design of PID controlled active tuned mass damper via modified harmony search. Appl. Sci., 10.10.3390/app10082976 ↗
19. A new heuristic optimization algorithm: Harmony search10.1177/003754970107600201 ↗
20. Yang, X.S. (2012, January 3–7). Flower pollination algorithm for global optimization. Proceedings of the International Conference on Unconventional Computing and Natural Computation, Orleans, France.10.1007/978-3-642-32894-7_27 ↗
21. MathWorks Inc (2015). MATLAB R2015b, MathWorks Inc.
22. Federal Emergency Management Agency (2009). FEMA P-695, Quantification of Building Seismic Performance Factors.
23. Comparing response of SDF systems to near-fault and far-fault earthquake motions in the context of spectral regions10.1002/eqe.92 ↗
24. (2020, May 20). Pacific Earthquake Engineering Research Center (PEER NGA DATABASE). Available online: http://peer.berkeley.edu/nga.
25. Control strategy for mitigating the response of structures subjected to earthquake Actions10.1016/j.engstruct.2010.08.006 ↗