UM  > 科技學院  > 機電工程系
FPGA Based Adaptive Sliding Mode Control of a Piezoelectric-Driven Micropositioning System
Wang Q.; Xu Q.
2018-08-24
Conference Name2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
Source Publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Pages1147-1152
Conference Date31 July-4 Aug. 2017
Conference PlaceHonolulu, HI, USA
Abstract

The design and implementation of a novel adaptive terminal sliding mode controller (ATSMC) for precise position control of a piezo-driven positioning system is presented in this paper. The proposed ATSMC scheme needs the output feedback only and does not depend on observer, which reduces the heavy burden of controller algorithm implementation. Nonsingular terminal sliding surface is introduced to achieve fast and finite-time convergence for the trajectory tracking, and also to remove the singularity phenomenon in traditional terminal sliding mode method. An adaptive law is proposed to modify the the controller switching gain online, which provides stable and chattering free control quality. The stability of the developed control scheme has been theoretically proved. The proposed controller is implemented on a field programmable gate array (FPGA) platform for experimental investigation, and its performance and advantages are shown by comparison experimental study.

DOI10.1109/CYBER.2017.8446607
URLView the original
Indexed BySCI
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
WOS IDWOS:000447628700206
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wang Q.,Xu Q.. FPGA Based Adaptive Sliding Mode Control of a Piezoelectric-Driven Micropositioning System[C],2018:1147-1152.
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