Precision polishing force control technology of abrasive belt-wheel polishing servo control system based on HGO-SMC

Due to cylinder friction, valve dead zone effect, flow nonlinearity, and measurement noise exist in pneumatic system. In the actual machining, it is difficult to achieve precise control of the pneumatic servo polishing system using the traditional PID algorithm, so the machining accuracy of the blades cannot be guaranteed. A sliding mode control (SMC) method based on high gain observer (HGO) is proposed. The HGO observes the output signal of the system and feeds the estimated signal back to the SMC to ensure that the observation error is uniform ultimate boundedness. Simulation and experiments show that compared with the PID algorithm, the steady-state error of HGO-SMC can be reduced by 66.4%. Compared with SMC(sgn), the high-frequency chattering of HGO-SMC can be reduced by 72.5%. Moreover, the polishing processing experiment shows that HGO-SMC can improve the form and position accuracy by 52.6% and reduce the surface roughness by 55.6%, compared with the original PID control algorithm of the polishing machine tool.

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Publication Details

Journal
Advances in Mechanical Engineering
Published
2024-10-01
DOI
https://doi.org/10.1177/16878132241272160
Citations
2
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
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article

Precision polishing force control technology of abrasive belt-wheel polishing servo control system based on HGO-SMC

Qi Hong, Qinghua Wei, Junde Qi
2 citations
Advances in Mechanical Engineering
Advanced Surface Polishing Techniques
0.37
article

Precision polishing force control technology of abrasive belt-wheel polishing servo control system based on HGO-SMC

Qi Hong, Qinghua Wei, Junde Qi
article en
2 citations

Abstract

Due to cylinder friction, valve dead zone effect, flow nonlinearity, and measurement noise exist in pneumatic system. In the actual machining, it is difficult to achieve precise control of the pneumatic servo polishing system using the traditional PID algorithm, so the machining accuracy of the blades cannot be guaranteed. A sliding mode control (SMC) method based on high gain observer (HGO) is proposed. The HGO observes the output signal of the system and feeds the estimated signal back to the SMC to ensure that the observation error is uniform ultimate boundedness. Simulation and experiments show that compared with the PID algorithm, the steady-state error of HGO-SMC can be reduced by 66.4%. Compared with SMC(sgn), the high-frequency chattering of HGO-SMC can be reduced by 72.5%. Moreover, the polishing processing experiment shows that HGO-SMC can improve the form and position accuracy by 52.6% and reduce the surface roughness by 55.6%, compared with the original PID control algorithm of the polishing machine tool.

Advances in Mechanical EngineeringVol. 16(10)
Northwestern Polytechnical University (CN), Northwest A&F University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 43%
Advanced Surface Polishing Techniques
0.37
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