Smart structures embedded with MR dampers using non-affine Fuzzy Control

2012 ◽  
pp. 475-478
Author(s):  
Z Movassaghi ◽  
B Samali ◽  
Q Ha
Keyword(s):  
Fuzzy Control ◽  
Smart Structures ◽  
Mr Dampers

Sensor Fault Diagnosis in Smart Structures

2009 ◽  
Author(s):  
Reza Sharifi ◽  
Reza Langari ◽  
Yeesock Kim
Keyword(s):  
Fault Detection ◽  
Fuzzy Controller ◽  
Interpolation Method ◽  
Smart Structures ◽  
Mr Damper ◽  
Principal Component ◽  
Sensor Fault ◽  
Mr Dampers ◽  
Sensor Fault Detection ◽  
Residual Generator

This paper proposes a novel principal component analysis (PCA)-based sensor fault detection methodology for smart structures employing magnetorheological (MR) dampers. The MR damper is operated by a semiactive nonlinear fuzzy controller (SNFC) that is developed by integration of a set of Lyapunov optimal controllers, Kalman filters, and a semiactive converter with the fuzzy interpolation method. A numeric residual generator is found using the PCA analysis of ten measurements obtained from the structure-MR damper system for sensor fault detection. Using the matrix of this residual generator, the detectability and isolability of each sensor has been analyzed and the detection and isolation algorithm is applied to the smart structural system with different levels of artificially added faults. The simulation demonstrated that the proposed PCA-based sensor fault detection approach is effective in identifying the sensor faults of large smart structures employing MR dampers.

Takagi-Sugeno Fuzzy Control of Adjacent Structures using MR Dampers

2011 ◽  
Vol 11 (15) ◽  
pp. 2816-2822 ◽  
Author(s):  
M.S. Shahidzade ◽  
H. Tarzi ◽  
M. Dorfeshan
Keyword(s):  
Fuzzy Control ◽  
Mr Dampers ◽  
Adjacent Structures ◽  
Takagi Sugeno

OPTIMAL FUZZY CONTROL OF A SEMI-ACTIVE SUSPENSION OF A FULL-VEHICLE MODEL USING MR DAMPERS

2005 ◽  
Vol 19 (07n09) ◽  
pp. 1513-1519 ◽  
Author(s):  
HAO WANG ◽  
HAIYAN HU
Keyword(s):  
Optimal Control ◽  
Fuzzy Control ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Angular Acceleration ◽  
Current Control ◽  
Vehicle Model ◽  
Restoring Force ◽  
Mr Dampers ◽  
Full Vehicle

MR (Magneto-Rheological) dampers have turned out to be a promising device for improving the ride comfort of ground vehicles. However, the current control algorithms for MR dampers, including on-off control and clipped-optimal control, are not sufficiently effective. This paper presents a fuzzy control strategy for an MR damper in order to determine the input voltage according to the desired restoring force. It then goes on using this new strategy to reduce the suspension vibration of a full-vehicle model equipped with 4 MR dampers, where the desired restoring forces are determined through the optimal control of suspension system. The numerical simulations indicate that the optimal fuzzy control can effectively reduce the suspension vibration of the full-vehicle model, especially the pitch angular acceleration and the roll angular acceleration of the sprung mass, and offers better ride comfort, running safety and handling stability than the clipped-optimal control. The design of the fuzzy controller is independent of the control system. Furthermore, fuzzy controller can also be extended to other applications of MR dampers, together with other control strategies.

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