Adaptive fuzzy sliding mode based active vibration control of a smart beam with mass uncertainty

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Luyu Li ◽  
Gangbing Song ◽  
Jinping Ou
Keyword(s):  
Vibration Control ◽  
Sliding Mode ◽  
Active Vibration Control ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Sliding Mode ◽  
Smart Beam ◽  
Mass Uncertainty ◽  
Fuzzy Sliding Mode ◽  
Active Vibration

scholarly journals Active vibration control of a conical shell using piezoelectric ceramics

2017 ◽  
Vol 36 (4) ◽  
pp. 366-375 ◽  
Author(s):  
Longfei Sun ◽  
Weijia Li ◽  
Yaozhong Wu ◽  
Qiuhua Lan
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Vibration Control ◽  
Shell Structure ◽  
Conical Shell ◽  
Sliding Mode ◽  
Active Vibration Control ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode ◽  
Active Vibration

Conical shell structures are commonly used in many engineering systems, and vibration suppression is very important to realize the desired function. In this study, piezoelectric ceramics were used as actuators/sensors with a multimodal fuzzy sliding mode controller to suppress vibrations of conical shell structure for the first time. The structure’s natural frequencies and mode shapes were obtained through modal analysis using finite element method and verified by modal tests. The agreement between analysis and test results verified the finite element method was appropriate. A multimodal fuzzy sliding mode controller was subsequently designed based on the analysis to provide active vibration control. The resulting controller was tested experimentally for the conical shell structure. The experimental results indicated that the proposed controller can effectively use to suppress vibration for the conical shell structure.

Adaptive fuzzy sliding mode control for vibration suppression of a rotating carbon nanotube-reinforced composite beam

2017 ◽  
Vol 24 (12) ◽  
pp. 2447-2463 ◽  
Author(s):  
Behrooz Rahmani
Keyword(s):  
Carbon Nanotube ◽  
Differential Equations ◽  
Vibration Control ◽  
Composite Beam ◽  
Sliding Mode ◽  
Adaptive Fuzzy ◽  
Model Free ◽  
Reinforced Composite ◽  
Adaptive Fuzzy Sliding Mode ◽  
Fuzzy Sliding Mode

In this paper, the robust vibration control of a rotating carbon nanotube reinforced composite beam subjected to a temperature rise is studied. The governing mathematical partial differential equations are derived by Hamilton’s principle based on Euler–Bernoulli beam theory. The Galerkin method is then used to obtain the temporal ordinary differential equations and therefore to perform vibration analysis. For the purpose of vibration control, piezoelectric patches are used as sensors to measure the displacement of the beam and as actuators to implement control forces. A model-free adaptive fuzzy sliding mode controller is utilized to suppress the vibration of the rotating carbon nanotube reinforced composite beam. Since the plant’s state vector cannot be measured for control purposes and only the piezoelectric sensor’s output is available, a model-free adaptive fuzzy sliding mode observer is proposed here. Simulation studies demonstrate the effectiveness of the proposed method.

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