GA-Optimized Fuzzy State Space Model of Multi Degree Freedom Structure Under Seismic Excitation

2017 ◽  
Author(s):  
Thang Pham Huu ◽  
Akira Sone ◽  
Nanako Miura
Keyword(s):  
Fuzzy Logic ◽  
Structural Control ◽  
Fuzzy Logic Controller ◽  
Tuned Mass Damper ◽  
Structural System ◽  
Active Structural Control ◽  
Linear Behavior ◽  
Mass Damper ◽  
Non Linear ◽  
Fuzzy State

Active structural control has drawn significant attention in recent decades. In this paper, the problem of active vibration control of multi-degree-freedom structures is considered. Fuzzy logic controller combined with the genetic algorithm (GA) is designed to optimize the parameters of active tuned mass damper (ATMD) for the best results in reduction of the building response under earthquake excitation. The advantage of the fuzzy logic approach is the ability to handle the non-linear behavior of the system. Non-linear behavior of the soil is modeled in the dynamics of the structural system with nonlinear hysteric restoring forces. The building structure with eleven stories is modeled as a 2D frame, which uses tuned mass damper subsystems mounted on the top of the building. A structural system was simulated against the ground motion of the destructive earthquakes. The time history of the story displacements and accelerations, the control voltages and forces, and the frequency responses of both the uncontrolled and the controlled structures are shown in the end of this study. The performance of designed fuzzy logic control is checked using the changing mass parameters of each story and the results are discussed. The comparison between the proposed control and TMD passive control shows that the proposed fuzzy logic controller has great potential in active structural control.

Active Tuned Mass Damper Control of Wind Turbine Nacelle/Tower Vibrations with Damaged Foundations

2013 ◽  
Vol 569-570 ◽  
pp. 660-667 ◽  
Author(s):  
Breiffni Fitzgerald ◽  
Biswajit Basu
Keyword(s):  
Wind Turbine ◽  
Structural Control ◽  
Three Dimensional ◽  
Tuned Mass Damper ◽  
Soil Medium ◽  
Active Structural Control ◽  
Control Scheme ◽  
Mass Damper ◽  
Out Of Plane ◽  
Tower Vibration

The aim of this paper is to develop an active structural control scheme to control wind turbine nacelle/tower out-of-plane vibration. An active tuned mass damper (ATMD) is designed an placed inside the turbine nacelle. An EulerLagrangian wind turbine model based on energy formulation is developed for this purpose, which considers the structural dynamics of the system and the interaction between in-plane and out-of-plane vibrations. Also, the interaction between the blades and the tower including the ATMD is considered. The wind turbine is subjected to gravity and turbulent aerodynamic loadings. A three-dimensional (3D) model of a wind turbine foundation is designed and analysed in the finite element geotechnical code PLAXIS. The rotation of the foundation is measured and used to calculate a rotational spring constant for use in wind turbine models to describe the soil-structure interaction (SSI) between the wind turbine foundation and the underlying soil medium. Damage is induced in the soil medium by a loss in foundation stiffness. The active control scheme is shown to reduce nacelle/tower vibration when damage occurs.

Modified sliding mode control of a seismic active mass damper system considering model uncertainties and input time delay

2016 ◽  
Vol 24 (6) ◽  
pp. 1051-1064 ◽  
Author(s):  
Mehdi Soleymani ◽  
Amir Hossein Abolmasoumi ◽  
Hasanali Bahrami ◽  
Arash Khalatbari-S ◽  
Elham Khoshbin ◽  
...  
Keyword(s):  
Structural Control ◽  
Sliding Mode ◽  
Test Structure ◽  
Dynamic State ◽  
Shake Table ◽  
Model Uncertainties ◽  
Actuator Dynamics ◽  
Active Structural Control ◽  
Mass Damper ◽  
Active Mass Damper

Model uncertainties and actuator delays are two factors that degrade the performance of active structural control systems. A new robust control system is proposed for control of an active tuned mass damper (AMD) in a high-rise building. The controller comprises a two-loop sliding model controller in conjunction with a dynamic state predictor. The sliding model controller is responsible for model uncertainties and the state predictor compensates for the time delays due to actuator dynamics and process delay. A reduced model that is validated against experimental data was constructed and equipped with an electro-mechanical AMD system mounted on the top storey. The proposed controller was implemented in the test structure and its performance under seismic disturbances was simulated using a seismic shake table. Moreover, robustness of the proposed controller was examined via variation of the test structure parameters. The shake table test results reveal the effectiveness of the proposed controller at tackling the simulated disturbances in the presence of model uncertainties and input delay.

Sign in / Sign up

Export Citation Format

Share Document