A hybrid model of magnetorheological dampers based on generalized hysteretic biviscous operators

2018 ◽  
Vol 29 (14) ◽  
pp. 2979-2985 ◽  
Author(s):  
Xinlong Zhao ◽  
Shuangjiang Wu ◽  
Haipeng Pan

Magnetorheological dampers are promising vibration control devices that are widely used for vibration mitigation applications. However, due to the inherent hysteresis of magnetorheological dampers, achieving high performance is a challenging issue because it requires the development of models that can accurately describe the unique characteristics of this hysteresis. In this article, first, a generalized hysteretic biviscous operator is proposed to roughly describe the hysteretic property. Then, the superposition of the weighted generalized hysteretic biviscous operators is performed to model the magnetorheological damper, and modified particle swarm optimization is utilized to regulate the weights. This methodology provides the hybrid model with the advantages of both parametric and non-parametric models. Moreover, the model has a rather simple architecture and can be easily determined. The experimental results demonstrate the feasibility of the proposed method.

2011 ◽  
Vol 130-134 ◽  
pp. 3139-3142
Author(s):  
Tao Cheng ◽  
Wei Xing Lin

This paper proposes a modified particle swarm optimization to solve identification of tuning PID controller parameters. This paper elaborates the process that MPSO algorithm optimizes PID parameters in double-loop speed control system modeled by simulink. Through analyzing the results of the MPSO optimization, and comparing with standard PSO(SPSO) and traditional method, MPSO algorithm has better dynamic performance, provides a high performance methods for PID parameters optimization.


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