Smart Structures With Current-Driven MR Dampers: Modeling and Second-Order Sliding Mode Control

Ha, Q.P.; Nguyễn, Minh Tri; Liu, Haotian; Kwok, Ngaiming

doi:10.1109/tmech.2013.2280282

Cited by 32 publications

(17 citation statements)

References 32 publications

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“…(73) and the actuators force are given by Eqs. (11) and (12). The control signal, U(t), is updated at every T seconds and remains constant until the next update (zero order hold).…”

Section: Simulation Program Overviewmentioning

confidence: 99%

“…The magnetorheological dampers, described in details by [19,23], are commonly mentioned in literature. Examples of those dampers with different controllers can be found in [3,12,33], where special attention is given for control of structural vibration caused by earthquakes. Another type of a semi-active technique can be found in [30], where a coil based electromagnetic vibration control device has been used.…”

Section: Introductionmentioning

confidence: 99%

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Vibration control of a flexible structure with electromagnetic actuators

Gruzman

Santos

2015

J Braz. Soc. Mech. Sci. Eng.

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This work presents the model of a shear frame type structure composed of six flexible beams and three rigid masses. Fixed on the ground, outside the structure, two voltage controlled electromagnetic actuators are used for vibration control. To model the flexible beams, unidimensional finite elements were used. Non-linear equations for the actuators electromagnetic force, noise in the position sensor, time delays for the control signal update and voltage saturation were also considered in the model. For controlling purposes a discrete linear quadratic regulator combined with a predictive full-order discrete linear observer was employed. Results of numerical simulations, where the structure is submitted to an impulsive disturbance force and to a harmonic force, show that the oscillations can be significantly reduced with the use of the electromagnetic actuators.

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“…(73) and the actuators force are given by Eqs. (11) and (12). The control signal, U(t), is updated at every T seconds and remains constant until the next update (zero order hold).…”

Section: Simulation Program Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vibration control of a flexible structure with electromagnetic actuators

Gruzman

Santos

2015

J Braz. Soc. Mech. Sci. Eng.

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“…The inverse model is to model the inverse dynamics of MR damper using a novel multi-objective optimal subtractive Fuzzy C-Mean clustering technique [30]. In the development of control strategies, several control algorithms have been used, such as Sliding Mode Control [34], Lyapunov-Based Control [35], optimal LQG control [30] and direct control [36][37][38]. Figure 16 shows the applications of proposed controllers to a 20-storey nonlinear building with 25 optimally placed MR dampers, illustrated that the proposed new control algorithms can effectively track the desired control force and perform much better than the original and modified versions of clipped optimal controllers (COC and MCOC) in terms of structural response reduction with less control force and power.…”

Section: Semi-active Control Of Mr Dampers For Selfadaptivementioning

confidence: 99%

Future Intelligent Civil Structures: Challenges and Opportunities

Askari

et al. 2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-An intelligent civil structure offers ultimate protection to its structure, contents and occupants in terms of safety and functionality against undesired dynamic loadings and structural deficiency. In this paper, the concept of the future intelligent civil structure featuring self-adaptive, selfprognostic, self-sensing, self-powering and self-repairing abilities, is proposed. A decade research efforts from Centre for Built Infrastructure Research, University of Technology Sydney, towards the development and concept proof of such intelligent structure is reviewed.

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“…Many published studies have shown the synthesis of such controllers. For instance, optimal sliding mode is proposed for trajectory tracking of offshore cranes [1] or second-order sliding mode is applied for vibration suppression in smart structures [2] to address the problem of uncertainties and external disturbances in these systems. Similarly, sliding surfaces incorporating the load swing dynamics along with an adaptive method to tune the controller's gain are presented in [3] for container cranes.…”

Section: Introductionmentioning

confidence: 99%

Fast Terminal Sliding Mode Control for Gantry Cranes

Singh¹,

Hoang²,

Ha³

2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Cranes remain a vital tool for the construction of infrastructure such as buildings, bridges, etc. Recently, there has been renewed interest in crane automation in dealing with concerns on safety and possible performance degradation due to system uncertainties and disturbances. One potential solution to the problem is the use of robust techniques based on the Sliding Mode Control (SMC) methodology. Much research has been conducted to design controllers based on linear sliding surfaces, aiming at achieving the desired control performance in finite time. In this context, this paper proposes a control method, based on the Fast Terminal Sliding Mode (FTSM), to guarantee finite-time stability of the crane. To do that, we have derived a mathematical model of the crane using Lagrangian formulation with uncertainties as bounding functions. Then, sliding surfaces based on the hierarchical sliding mode are defined, and a control law is derived using the Lyapunov stability theory. The hierarchical sliding surfaces consist of two layers. The first layer include sliding functions based on FTSM to enable faster convergence of the system to equilibrium. This can have advantages in high precision tracking applications. In the second-layer, the sliding surface is designed from the linear combination of the first layer sliding functions. Also, we have given a proof of the stability of the system in finite time. Extensive simulation results show the proposed controller based on FTSM can achieve higher performance in stabilizing the swinging load of a gantry crane. Laboratorial experiments have been conducted to verify the obtained results in terms of the superior convergence time and improved performance over conventional SMC.

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Smart Structures With Current-Driven MR Dampers: Modeling and Second-Order Sliding Mode Control

Cited by 32 publications

References 32 publications

Vibration control of a flexible structure with electromagnetic actuators

Vibration control of a flexible structure with electromagnetic actuators

Future Intelligent Civil Structures: Challenges and Opportunities

Fast Terminal Sliding Mode Control for Gantry Cranes

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