Adaptive terminal sliding mode control of a regulated multidimensional electrospinning device for polymeric structures

控制理论(社会学) 控制器(灌溉) 笛卡尔坐标系 弹道 李雅普诺夫函数 计算机科学 滑模控制 自适应控制 静电纺丝 数学 材料科学 控制(管理) 物理 非线性系统 聚合物 人工智能 生物 复合材料 天文 量子力学 农学 几何学
作者
Oscar Reyes-Garcia,Dusthon Llorente‐Vidrio,R. L. Santillan,David Cruz‐Ortiz,Isaac Chairez
出处
期刊:Proceedings Of The Institution Of Mechanical Engineers, Part I: Journal Of Systems And Control Engineering [SAGE]
卷期号:236 (8): 1503-1522 被引量:1
标识
DOI:10.1177/09596518221092865
摘要

This study intends to present an automatic control design for a Cartesian electrospinning system with a dual moving platforms for the collector and the syringe subsystems which are mobilized using linear actuators. The proposed device is including a set of dual robotized structures, that is also carrying a structure to create the Taylor cone that regulates the nano-fiber deposition over the supporting platform. The suggested control form considers the synchronization between the syringe tip and the collector using a cascade tracking structure. A class of distributed state-dependent terminal sliding mode control form solves the tracking problem that yields the syringe-collector pair moves in a synchronized form tracking a bidimensional design that should be reproduced with the fibers deposition made of polyvinyl acid–based polymer. This controller also considers the working space restrictions in the Cartesian electrospinning system device using state-dependent gains which are obtained using a control barrier Lyapunov function. The application of the second stability method of Lyapunov serves to both design the state-dependent gains and prove that the tracking error trajectory is ultimate bound. The proposed controller is evaluated using a cyber-physical representation of the Cartesian electrospinning system device where the proposed controller is evaluated. This evaluation considers a comparison of the control effectiveness (using the root mean square value of the tracking error) with a traditional non-adaptive state feedback and a first-order sliding mode control. This comparison shows that the proposed adaptive controller induces the smallest root mean square among the tested control forms while reducing the magnitude of the overshoot for each actuator.

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