Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/52076

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/52076

Title:	Intelligent double integral sliding-mode control for five-degree-of-freedom active magnetic bearing system
Authors:	Lin,FJ;Chen,SY;Huang,MS
Contributors:	電機工程學系
Keywords:	TUNING PID CONTROLLER;COMPENSATION;SUSPENSION;PUMP
Date:	2011
Issue Date:	2012-03-28 10:14:51 (UTC+8)
Publisher:	國立中央大學
Abstract:	This study presents a decentralised intelligent double integral sliding-mode control (IDISMC) system, which consists of five IDISMCs, to regulate and stabilise a fully suspended five-degree-of-freedom (DOF) active magnetic bearing (AMB) system. The system structure and drive system with differential driving mode (DDM) are introduced first. Then, the decoupled dynamic model of the five-DOF AMB is analysed for the design of the decentralised control. Moreover, a decentralised integral sliding-mode control (ISMC) system is designed based on the decoupled dynamic model to control the five-DOF AMB considering the existences of the uncertainties. Furthermore, since the control characteristics of the five-DOF AMB are highly non-linear and time varying, the decentralised IDISMC system is proposed to further improve the control performance of the five-DOF AMB. In each IDISMC, the adopted double integral sliding surface reinforces the control law with the integral (I) control feature. In addition, the control gains of the IDISMC can be adjusted on-line and the system uncertainty can also be observed simultaneously by using of a modified proportional-integral-derivative neural network (MPIDNN) observer. Thus, the proposed IDISMC combines the merits of the ISMC, adaptive control and neural network (NN). Finally, the experimental results illustrate the validities of the proposed control systems using various operating conditions.
Relation:	IET CONTROL THEORY AND APPLICATIONS
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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