Robust adaptive controller for semi-active control of uncertain structures using a magnetorheological elastomer-based isolator

Nguyen, Xuan Bao; Komatsuzaki, Toshihiko; Iwata, Yoshio; Asanuma, Haruhiko

doi:10.1016/j.jsv.2018.07.047

Cited by 39 publications

(29 citation statements)

References 24 publications

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“…Numerous previously reported studies have proposed the application of different types of semi‐active dampers to a base‐isolated building: a controllable fluid damper, which has a controllable, electromechanical, variable orifice valve to alter the resistance to flow of a conventional hydraulic fluid damper (Yoshida and Fujio and Iemura et al); a controllable fluid damper, such as an electrorheological or magnetorheological fluid damper (Dyke et al; Sunakoda et al; Ribakov and Gluck; Yoshioka et al; Yoshida and Dyke; and Bahar et al); a variable friction damper (Akbay and Aktan; Feng et al; Fujita et al; Lu et al; and Pan et al); and a magnetorheological elastomer (Li et al; Gu et al; and Nguyen et al).…”

Section: Introductionmentioning

confidence: 99%

Update of control parameters for semi‐actively controlled base‐isolated building to improve seismic performance

Kohiyama

Omura

Takahashi

et al. 2019

Japan Architectural Review

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The Sosokan building of Keio University located in Yokohama, Japan, is a base‐isolated building with a semi‐active control system. The semi‐active dampers’ damping coefficient is changed to best reproduce the optimal control force in linear‐quadratic‐gaussian control. However, the implemented control gain was calculated on the basis of the structural parameters applied at the design stage. In this study, we identified the building's actual structural parameters using observational records from the 2011 Tohoku earthquake. Using the updated structural model and 1000 simulated ground motions, we conducted a dynamic response analysis, which resulted in a fragility curve. Then, we evaluated the damage probability using the fragility curve and a seismic hazard curve. Finally, we determined the optimal control parameters to minimize the damage probability and used these parameters to implement the semi‐active control system.

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Section: Introductionmentioning

confidence: 99%

Update of control parameters for semi‐actively controlled base‐isolated building to improve seismic performance

Kohiyama

Omura

Takahashi

et al. 2019

Japan Architectural Review

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“…To demonstrate the advantage of the proposed adaptive non-singular terminal sliding mode control algorithm, a recent result on the existing sliding mode control 28 is used to design an adaptive sliding mode controller for comparison purposes, which can be given by…”

Section: Simulation Studymentioning

confidence: 99%

“…The time responses of the MR elastomer vibration isolation system with the proposed active control scheme are shown in Figures 3 and 4. For comparison purposes, both the passive control and the existing active control scheme 28 are considered, the simulation results are also provided in Figures 3 and 4. It is obvious from Figures 3 and 4 that the proposed algorithm has faster convergence rate and better vibration suppression capability compared with both the passive control and the existing sliding mode control scheme.…”

Section: Simulation Studymentioning

confidence: 99%

A nonlinear observer-based adaptive robust control approach for a class of uncertain asymmetric hysteretic systems

Zhang

Xue

Luo

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents a robust control scheme for a class of asymmetric hysteretic systems with both parametric uncertainties and external disturbances, where an asymmetric Bouc–Wen model is adopted to represent the hysteretic behavior. A novel adaptive non-singular terminal sliding mode control methodology with hysteretic state estimation is proposed to achieve finite-time stabilization of such systems for vibration suppressions. In the proposed control framework, a hysteresis observer is constructed to capture the unmeasurable hysteretic force, and the adaptive control technique is used to accommodate the hysteretic uncertainties and unknown system parameters. Moreover, a fast terminal sliding mode controller without the singularity problem is designed to improve the robustness and dynamic performance of such systems, where the terminal sliding mode function is proposed to guarantee the finite-time convergence of the system states, and the reaching law with fractional power is constructed to accelerate the occurrence of the corresponding terminal sliding mode surface. Meanwhile, the finite-time stability of the whole closed-loop system is also analyzed. Finally, numerical simulation results deployed on a magnetorheological elastomer vibration isolation system are provided to validate the effectiveness of the proposed control algorithm.

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“…Traditional semiactive controllers, such as the on-off controller, fuzzy controller, and clip-optimal controller, do not guarantee system stability (Liao et al, 2011;Zhu et al, 2014;Nguyen et al, 2018a;Jansen and Dyke, 2000). Recently, many scientists have proposed improved versions of the controllers, such as the adaptive sliding mode controller (Fei and Xin, 2012;Fallah and Taghikhany, 2015), the adaptive fuzzy sliding mode controller (Nguyen et al, 2017a;Phu et al, 2014), and the robust adaptive controller for semiactive controller (Nguyen et al, 2018b). These methods guarantee zero convergence of the displacement response and provide robust stability.…”

Section: Introductionmentioning

confidence: 99%

“…In the system, m s represents the sprung mass of a car body, m u the unsprung mass of a tire, k t the rubber stiffness of the tire, and k s and c s the stiffness and damping of the suspension, respectively. The absorber developed by one of the authors was used as a semiactive actuator of the suspension system (Komatsuzaki et al, 2016;Nguyen et al, 2020). The absorber consists of a set of steel cores, a brass inner core, a magnetic coil, two ring-shaped MREs, and duralumin housing, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Novel semiactive suspension using a magnetorheological elastomer (MRE)-based absorber and adaptive neural network controller for systems with input constraints

2020

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Abstract. For most existing semiactive systems, it is commonly known that the stability and tracking performance will deteriorate in a real application due to the input constraints and nonlinearity in the system. In this study, in order to overcome the above shortcomings, a novel bench-scale suspension plant using a magnetorheological elastomer (MRE)-based absorber accompanied with an adaptive and global neural-network-based tracking controller is introduced. The adaptive neural network (ANN) is used to estimate the uncertain dynamics of the quarter-car model. The novel scheme consists of three parts, including a conventional ANN controller dominating the active region of neurons, a robust controller serving as a temporary controller to pull back the state into the active region when the neural approximation falls outside, and a switch to be used to monitor the activation of the neural part and switch the control authority between the above two controllers. The controller ensures that a globally uniform ultimate boundedness can be achieved. Furthermore, an auxiliary design system was added to the controller in order to deal with the effects of input constraints, and the state was analyzed for the tracking of the stabilization. The control scheme ensures that the output of the system converges to the vicinity of a reference trajectory and all the signals are globally, uniformly, and ultimately bounded. The simulation and experimental results demonstrate that the proposed controller can effectively suppress the vibrations of the semiactive quarter car.

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Robust adaptive controller for semi-active control of uncertain structures using a magnetorheological elastomer-based isolator

Cited by 39 publications

References 24 publications

Update of control parameters for semi‐actively controlled base‐isolated building to improve seismic performance

Update of control parameters for semi‐actively controlled base‐isolated building to improve seismic performance

A nonlinear observer-based adaptive robust control approach for a class of uncertain asymmetric hysteretic systems

Novel semiactive suspension using a magnetorheological elastomer (MRE)-based absorber and adaptive neural network controller for systems with input constraints

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