Vibration control of electrorheological seat suspension with human-body model using sliding mode control

2007 ◽  
Vol 303 (1-2) ◽  
pp. 391-404 ◽  
Author(s):  
Seung-Bok Choi ◽  
Young-Min Han
Keyword(s):  
Sliding Mode Control ◽  
Vibration Control ◽  
Human Body ◽  
Sliding Mode ◽  
Human Body Model ◽  
Seat Suspension ◽  
Body Model ◽  
Mode Control

Vibration Control of a Translating Beam With an Active Control Strategy on the Basis of the Fuzzy Sliding Mode Control

2013 ◽  
Author(s):  
Liming Dai ◽  
Lin Sun
Keyword(s):  
Sliding Mode Control ◽  
Vibration Control ◽  
Active Control ◽  
Control Strategy ◽  
Sliding Mode ◽  
Nonlinear Dynamic System ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Active Control Strategy

An active control strategy is developed for nonlinear vibration control of an axially translating beam applied in engineering field. The control strategy is established on the basis of Fuzzy Sliding Mode Control. The nonlinear model governing the beam system is described with a six-degree nonlinear dynamic system. Corresponding to the multi-degree nonlinear system, the active control strategy is developed. The proposed control strategy is proven to be effective in controlling and stabilizing the nonlinear motions especially chaotic motion of the beam.

scholarly journals Robustness control for nonlinear systems based on homogeneous prescribed sliding mode control

2021 ◽  
Vol 4 (2) ◽  
pp. 1019-1035
Author(s):  
PHU XUAN DO ◽  
HUNG QUOC NGUYEN
Keyword(s):  
Energy Consumption ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Control Function ◽  
Linear Matrix ◽  
Sliding Surface ◽  
Seat Suspension ◽  
Mode Control ◽  
Input Control ◽  
Severe Disturbance

This paper presents a new homogeneous control using dual sliding mode control, and robustness control using linear matrix inequality (LMI) constraints. The controller is applied for the severe disturbance. A sliding surface function, which relates to an exponential function and itself t-norm, is applied to save the energy consumption of the control system. The constraints related LMI are proposed with the matrices and vectors of the systems following the chosen matrices in control the energy for control. Solution of the constraints is also presented with new approach to save the time of calculation. In addition, the proof for the proposed controller is also presented by using the candidate Lyapunov function. In the input control function, the t-norm type is embedded to improve its performance in control disturbance. Besides of the t-norm, the modified sliding surface in the input control is also improve the energy for controlling. The combination of these robustness control elements would bring a new view for the design of control. The advantages of the controller are demonstrated via computer simulation for a seat suspension system. A magneto-rheological fluid seat suspension with its random disturbances is used. To prove the flexibility of the controller, the proposed approach is compared with an existing controller. The compared control has the same structure as shown in the proposed model. However, its design has a disadvantage in control the severe disturbance. The comparison between two controls is a clear view of distinct improvement. The results of simulations show that the controller provides better performance and stability of the system. The stability is also analyzed through the variation of the input control and power spectral density related energy consumption.

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