Fuzzy control of shear-mode MR damper under impact force

Cho, Jeongmok; Kim, Hyoun Young; Jung, Taegeun; Joh, Joongseon

doi:10.1117/12.695621

Cited by 2 publications

(4 citation statements)

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“…Evaluation results showed that both controllers provided very similar vibration control performance, but the control performance was not good with the sign function of the sliding mode controller due to the undesirable chattering behavior. The combination of two controllers such as fuzzy control and skyhook control was presented by Cho et al [7]. In this study, the fuzzy control and the skyhook control were combined as a fuzzy-skyhook control, and applied to MR damper system subjected to impact loads.…”

Section: Other Applicationsmentioning

confidence: 99%

“…There are lots of research work on the applications of MRF and MRE using the skyhook controller. These studies have been undertaken from both computer simulation [3,4,6,7,8,10,11,15,17] and experimental implementation [1,2,5,9,12,13,14,16].…”

Section: Other Applicationsmentioning

confidence: 99%

“…A comparative study between the skyhook controller and the passive control action has been made by considering MRF vehicle suspension [6][7][8]. Control responses obtained from experiments have shown that the result of the skyhook controller is much better than the passive one in terms of vibration control performance.…”

Section: Vehicle Suspension Systemmentioning

confidence: 99%

See 2 more Smart Citations

State of the art of control schemes for smart systems featuring magneto-rheological materials

Choi¹,

Li²,

Yu³

et al. 2016

Smart Mater. Struct.

138

105

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show abstract

Section: Other Applicationsmentioning

confidence: 99%

Section: Other Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

State of the art of control schemes for smart systems featuring magneto-rheological materials

Choi¹,

Li²,

Yu³

et al. 2016

Smart Mater. Struct.

138

105

View full text Add to dashboard Cite

show abstract

“…The vibration suppression effect of semi-active control devices is determined by vibration control algorithms. The common control methods for MR dampers include sky-hook control, 15,18 fuzzy logic control, 19 and sliding mode control. 20 Most of the abovementioned control methods preset the current to a finite number of constant values.…”

Section: Introductionmentioning

confidence: 99%

A semi-active control method for magnetorheological dampers to suppress the milling vibration of thin-walled workpieces

Chen

Zhao

Yang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Thin-walled workpieces are widely used in the aerospace field, and milling is the main processing method of such components. However, thin-walled workpieces are prone to vibrate during milling because of their weak stiffness, and the vibrations significantly affect the processing quality. Therefore, it is important to develop a novel milling vibration suppression method for thin-walled parts. The present work focused on the milling vibration control of a thin-walled workpiece using a semi-active magnetorheological (MR) damper. The forward dynamic model and inverse control model of the MR damper were first established, and its actuating position on the workpiece was then determined by modal analysis. The dynamic model of the MR damper at this position was built based on the proposed dynamic parameter acquisition method and used in the following semi-active control algorithm design. The effectiveness of this algorithm was verified by MATLAB/Simulink simulations. Finally, six groups of milling experiments were carried out using the non-damper, the rigid rod, the damper applied with 1-, 2-, and 3-A currents, and the semi-active control damper to validate the practical effect of the proposed algorithm. It was found that the designed semi-active control MR damper outperformed the constant-current control dampers or the rigid rod. In comparison to the non-damper experiment, the root mean square (RMS) values of milling forces in x- and y-directions decreased by 45.12% and 48.58%, respectively, and surface roughness decreased by 40.22%.

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Fuzzy control of shear-mode MR damper under impact force

Cited by 2 publications

References 0 publications

State of the art of control schemes for smart systems featuring magneto-rheological materials

State of the art of control schemes for smart systems featuring magneto-rheological materials

A semi-active control method for magnetorheological dampers to suppress the milling vibration of thin-walled workpieces

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