Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740301
Title: Modelling and control of advanced mechatronic system
Author: Yan, Xiaomo
ISNI:       0000 0004 7225 4106
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2017
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Abstract:
Control of mechatronic systems remain an open problem in control theory despite the research work worldwide in the last decade. Uncertainties in mechatronic systems, which includes faults, and disturbance, will often cause undesired behaviours, affecting the systems performances, may lead to the system failure, or even causing safety issues. Control reconfiguration is an active approach in control systems field. However, controller reconfiguration involves changes in its parameters and structure. System stability might not be able to be guaranteed during the parameters tuning, which might cause more damage to system stability, sometimes may cause safety issues. Due the on-line reconfiguration has a scope, during which the system stability can not be guaranteed. This leads that the systems must be turned off during reconfiguration process. In many industrial areas, such as metallurgy, forging, and manufacturing, shutting down the streamline leads to significant levels of lost productivity and unacceptable economic losses. As alternative to control reconfiguration approach, in this thesis two methods are proposed to deal with faults and disturbances. The first method is the fault matrix observer and the second one is the set-point re-planning. The idea of both methods is to compensate the faults and disturbances which affect the system performances without changing the controller structure or controller parameters.
Supervisor: Ding, Zhengtao Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.740301  DOI: Not available
Keywords: SMC ; Robotic Arm ; Nonlinear Control ; FTC ; System Optimization
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