Polishing force control strategy for pneumatic end-effector based on adaptive fuzzy algorithm with state observer

This paper investigates force tracking control for pneumatic polishing end-effector under model uncertainty and unmeasured states. A fuzzy logic system approximates unknown nonlinear characteristics, while a fuzzy state observer estimates unmeasured states. Based on these estimates, an adaptive outp...

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Bibliographic Details
Published in:	International journal of advanced manufacturing technology Vol. 141; no. 7-8; pp. 3633 - 3650
Main Authors:	Yang, Zhiguo, Zhao, Wenbo, Kou, Jiange, Ma, Yushan, Wang, Yixuan, Li, Zhanxin, Shi, Yan
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2025 Springer Nature B.V
Subjects:	Accuracy Adaptive algorithms CAE) and Design Closed loops Computer-Aided Engineering (CAD Control algorithms Controllers End effectors Engineering Estimates Feedback control Fuzzy logic Fuzzy systems Gas flow Industrial and Production Engineering Liapunov functions Mechanical Engineering Media Management Original Article Output feedback Pneumatics Polishing Proportional integral derivative State observers Time varying amplitude Tracking control Adaptive fuzzy Pneumatic end-effector Force tracking control
ISSN:	0268-3768, 1433-3015
Online Access:	Get full text
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