Vibration Control of Smart Structure Using Sliding Mode Control with Observer

Hu, Junfeng; Zhu, Dachang

doi:10.4304/jcp.7.2.411-418

Cited by 19 publications

(9 citation statements)

References 10 publications

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“…But the internal waves of the composite material have high discrepancy at the two actuators positions 1 and 2 in maximum over shoots as shown in figs (15, and 16). In addition the second attempt in table 1 gave a little discrepancy effect about (2.44%) in the results as shown in figs (17,18) at the middle surface of specimen. An important improvement in transient response of figs (19, and 20) at maximum over shoot of the two positions 1, 2 when it is compared with previous one in similar position.…”

Section: Resultsmentioning

confidence: 78%

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Experimental Responses of MWCNTs Reinforced Cross-Ply Thin Composite Shells under Transverse Impact and Thermal Loads

Alshamma¹,

Majeed²,

Ali³

2018

JEASD

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Experimental study of transient response for different load ratio (0.3, 0.4, 0.5, and 1.0)wt% of Multi-Walled Carbon Nano-Tubes (MWCNTs) reinforced matrix of composite in addition to woven carbon fiber. Thermal Low Velocity Impact (TLVI) apparatus have been designed to meet the different testing conditions. The effect of transient vibration by impact loading on simply supported curved composite shell with and without thermal condition has been studied experimentally. An improvement occurred in settling time about 62.0% at increased of weight ratio reinforcement up to 1.0wt% of MWCNTs, and under thermal condition the settling time reduced about 44.0%. The results showed that the material which be selected under thermal condition must be include the weighed ratio 0.4wt% because all the specimens reinforced with the mentioned weighted ratios of MWCNTs failed under thermal test except those that containing 0.4wt% and these results enhanced by other results such as the Differential Scanning Calorimetry (DSC). In addition to the passivity of the composite shell structure due to reinforcement by woven carbon fiber and MWCNTs, active double integral of sliding mode controller (SMC) is used with piezoelectric components. The results indicated that an important improvement in transient response at maximum over shoot of the middle surface point about (95.8%) and (50%) in settling time, with SMC the specimens reach the steady state at short time.

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Section: Resultsmentioning

confidence: 78%

“…The sliding mode controller (SMC) in this thesis it is represented in principle of SM control to design sliding surface that will direct the trajectory of state variables toward a design origin when coincided [16], [17], [18]. In the present work the controller function as:…”

Section: Sliding Mode Controller (Smc)mentioning

confidence: 99%

Experimental Responses of MWCNTs Reinforced Cross-Ply Thin Composite Shells under Transverse Impact and Thermal Loads

Alshamma¹,

Majeed²,

Ali³

2018

JEASD

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“…Sliding mode control has promising applications in robotics 12 and also in vibration control. 13 Controllers based on neural network, resonant controller, and multi-objective state-feedback control are all other examples of experimentally verified approaches. 14,15,16 The Positive Position Feedback (PPF) controller is another popular method that has been used for various vibration control purposes.…”

Section: Introductionmentioning

confidence: 99%

Implementation of modified positive velocity feedback controller for active vibration control in smart structures

2014

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This paper introduces the Modified Positive Velocity Feedback (MPVF) controller as an alternative to the conventional Positive Position Feedback (PPF) controller, with the goal of suppressing unwanted resonant vibrations in smart structures. The MPVF controller uses two parallel feedback compensators working on the fundamental modes of the structure. The vibration velocity is measured by a sensor or state estimator and is fed back to the controller as the input. To control n-modes, n sets of parallel compensators are required. MPVF controller gain selection in multimode cases highly affects the control results. This problem is resolved using the Linear Quadratic Regulator (LQR) and the M-norm optimization method, which are selected to form the desired performance of the MPVF controller. First, the controller is simulated for the two optimization approaches, and then, experimental investigation of the vibration suppression is performed. The LQR-optimized MPVF provides a better suppression in terms of vibration displacement. The M-normoptimized MPVF controller focuses on modes with higher magnitudes of velocity and provides a higher level of vibration velocity suppression than LQR-optimized method. Vibration velocity attenuation can be very important in preventing fatigue failures due to the fact that velocity can be directly related to stress.

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“…Therefore, research on the active vibration control of buildings structural system has received increasing attention in the recent years [1]. Many scholars applied themselves to the research of active vibration control strategies and many control techniques have been achieved, such as, classical H  theories [2,3] , Finite frequency H  control [4], sliding mode control [5,6], adaptive control [7], neural networks [8], fuzzy control [9], optimal control [10], bang-bang control [11,12], etc., have been developed with the goal of protecting structures subjected to external disturbance excitation. Accompanied with the development of structural control strategies, some active control devices were designed for applying those control algorithms, for example, active brace system (ABS) [13,14], active mass damper (AMD) [15], etc.…”

Section: Introductionmentioning

confidence: 99%

Active Vibration Attenuation for Uncertain Buildings Structural Systems with Sensor Faults

Ding

Weng

Liang

2013

JCP

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The problem of sensor fault-tolerant vibrationattenuation controller design for uncertain buildings structural systems is investigated in this paper. The objective of designing controllers is to guarantee the asymptotic stability of closed-loop systems while attenuate disturbance from earthquake excitation. Firstly, based on matrix transformation, the structural system is described as a state-space model, which contains sensor faults and parameter uncertainties. Based on the obtained model, the LMIs-based conditions for the system to be stabilizable are deduced. By solving these LMIs, the controllers are established for the closed-loop system to be stable with a prescribed level of disturbance attenuation and sensor faulttolerant. Finally, an example is included to demonstrate the effectiveness of the proposed theorems.

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Vibration Control of Smart Structure Using Sliding Mode Control with Observer

Cited by 19 publications

References 10 publications

Experimental Responses of MWCNTs Reinforced Cross-Ply Thin Composite Shells under Transverse Impact and Thermal Loads

Experimental Responses of MWCNTs Reinforced Cross-Ply Thin Composite Shells under Transverse Impact and Thermal Loads

Implementation of modified positive velocity feedback controller for active vibration control in smart structures

Active Vibration Attenuation for Uncertain Buildings Structural Systems with Sensor Faults

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