Implications of control-structure interaction in scaled structural control system testing

Dyke, Shirley J.; Jansen, Laura M.

doi:10.1109/cca.1999.806655

Cited by 5 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An example of such means is using a simulator to emulate the motion of the structure, and focus on the control device independently in the experiments [21]. In this study, to check the reduction performance of a TMD device installed on the offshore oil platform, one might place the TMD directly on the 'moving table'.…”

Section: Identification Of Control Devicementioning

confidence: 99%

See 1 more Smart Citation

Experimental study on mitigation of ice-induced vibration for offshore platforms with a tuned mass damper

Zhang

Yue

Zhang

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

Experimental studies have been conducted on the tuned mass damper (TMD) -a passive control device. These studies investigate the feasibility that the TMD can mitigate the vibrations induced by ice forces on offshore steel jacket platforms. A TMD device was designed and manufactured with respect to an offshore oil platform. Large-scale testing is expensive and the requirements for model similarity in model-scale testing are hard to meet. Thus, an experimental technique that focuses on the control device itself and emulates the behaviour of the structure with a simulator is presented. This novel experimental system consists of a virtual part and an actual part called the semi-experimental testing system. The virtual parts include scaled external load and a scaled simplified platform model. The actual parts include the TMD device and a moving table, which is controlled by a hydraulic actuator. By introducing the interaction between the ice sheet and the structure, the performance of the device is investigated and reasons of effectiveness reduction are explained. The results show that an optimally tuned TMD can reduce the amplified response significantly under ice load action. Finally, the application possibilities of vibration absorption using TMD to other arctic offshore structures are discussed.

show abstract

Section: Identification Of Control Devicementioning

confidence: 99%

“…Owing to the expense associated with full-scale testing, researchers have considered a variety of innovative means to perform large-scale verification tests. An example of such means is using a simulator to emulate the motion of the structure, and focus on the control device independently in the experiments [21].…”

Section: Identification Of Control Devicementioning

confidence: 99%

Experimental study on mitigation of ice-induced vibration for offshore platforms with a tuned mass damper

Zhang

Yue

Zhang

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

show abstract

“…This is because the MR dampers can only absorb energy that is being produced due to vibrations in the structure by responding to its motion so that the bounded input bounded output stability is assured. A model to exhibit the capacities of the MR damper in the light of the Bouc-Wen hysteresis hypothesis was introduced in 1997 and employed successfully in a number of studies on semi-active control strategy [5][6][7]. Several experiments were conducted on a scaled three-story prototype structure having an MR damper, which established the fact that the effectiveness of a controller very much relies on the algorithm used [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Several experiments were conducted on a scaled three-story prototype structure having an MR damper, which established the fact that the effectiveness of a controller very much relies on the algorithm used [8][9][10][11]. Some very commonly used controllers are the linearquadratic regulator (LQR) controller, sliding mode controller, LQG/H 2 controller, fuzzy logic controller, etc [7,[12][13][14][15][16][17][18][19]. Here in our approach, we have considered an LQR control algorithm, though it has some inherent issues reported in the literature [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Some very commonly used controllers are the linearquadratic regulator (LQR) controller, sliding mode controller, LQG/H 2 controller, fuzzy logic controller, etc [7,[12][13][14][15][16][17][18][19]. Here in our approach, we have considered an LQR control algorithm, though it has some inherent issues reported in the literature [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Some of them are: (i) the conventional LQR algorithm does not care about external vibrations, (ii) the parameters of the controller depend on many factors such as structural parameters, earthquake excitation, etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fourier transform and particle swarm optimization based modified LQR algorithm for mitigation of vibrations using magnetorheological dampers

Kumar

2017

Smart Mater. Struct.

View full text Add to dashboard Cite

Structural control has gained significant attention in recent times. The standalone issue of power requirement during an earthquake has already been solved up to a large extent by designing semi-active control systems using conventional linear quadratic control theory, and many other intelligent control algorithms such as fuzzy controllers, artificial neural networks, etc. In conventional linear-quadratic regulator (LQR) theory, it is customary to note that the values of the design parameters are decided at the time of designing the controller and cannot be subsequently altered. During an earthquake event, the response of the structure may increase or decrease, depending the quasi-resonance occurring between the structure and the earthquake. In this case, it is essential to modify the value of the design parameters of the conventional LQR controller to obtain optimum control force to mitigate the vibrations due to the earthquake. A few studies have been done to sort out this issue but in all these studies it was necessary to maintain a database of the earthquake. To solve this problem and to find the optimized design parameters of the LQR controller in real time, a fast Fourier transform and particle swarm optimization based modified linear quadratic regulator method is presented here. This method comprises four different algorithms: particle swarm optimization (PSO), the fast Fourier transform (FFT), clipped control algorithm and the LQR. The FFT helps to obtain the dominant frequency for every time window. PSO finds the optimum gain matrix through the real-time update of the weighting matrix R, thereby, dispensing with the experimentation. The clipped control law is employed to match the magnetorheological (MR) damper force with the desired force given by the controller. The modified Bouc-Wen phenomenological model is taken to recognize the nonlinearities in the MR damper. The assessment of the advised method is done by simulation of a three-story structure having an MR damper at the ground floor level subjected to three different near-fault historical earthquake time histories, and the outcomes are equated with those of simple conventional LQR. The results establish that the advised methodology is more effective than conventional LQR controllers in reducing inter-storey drift, relative displacement, and acceleration response.

show abstract

Suppression of structural vibrations using PDPI + PI type fuzzy logic controlled active dynamic absorber

Ozer

Hacioğlu

Yağiz

2015

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

Implications of control-structure interaction in scaled structural control system testing

Cited by 5 publications

References 4 publications

Experimental study on mitigation of ice-induced vibration for offshore platforms with a tuned mass damper

Experimental study on mitigation of ice-induced vibration for offshore platforms with a tuned mass damper

Fourier transform and particle swarm optimization based modified LQR algorithm for mitigation of vibrations using magnetorheological dampers

Suppression of structural vibrations using PDPI + PI type fuzzy logic controlled active dynamic absorber

Contact Info

Product

Resources

About