DocumentCode :
682475
Title :
Sliding-mode (SM) and Fuzzy-Sliding-Mode (FSM) controllers for high-precisely linear piezoelectric ceramic motor (LPCM)
Author :
Nurhadi, Hendro
Author_Institution :
Dept. of Mech. Eng., Inst. Teknol. Sepuluh Nopember (ITS), Surabaya, Indonesia
fYear :
2013
fDate :
25-27 Nov. 2013
Firstpage :
62
Lastpage :
66
Abstract :
In nanotechnologies, usages of piezoelectric actuators are widely used. Since the properties of piezo-materials itself are dependent on Curie temperature and they have a reversible effect, a precise positioning using linear piezoelectric ceramic motor (LPCM) is a subject to achieve in this work. A proposed controller mode by combining sliding mode (SM) and fuzzy inference system, so called Fuzzy-Sliding Mode (FSM) controller, is hereafter introduced. In this controller scheme, a sliding part obtains to counter disturbances, while the fuzzy eliminates uncertainties. The results show Excellencies in this work that emphasizes performance improvement of minimizing errors with steady-state errors. The circular motion is then conducted to verify the controller´s performance. The controller (FSM) presented in this paper possessed excellent tracking speed (adaptive) and robustness properties.
Keywords :
fuzzy control; fuzzy reasoning; linear motors; machine control; nanotechnology; piezoceramics; piezoelectric actuators; robust control; variable structure systems; Curie temperature; FSM controller; LPCM; circular motion; controller mode; controller scheme; fuzzy inference system; fuzzy-sliding-mode controller; linear piezoelectric ceramic motor; nanotechnology; performance improvement; piezo-materials; piezoelectric actuators; robustness property; steady-state errors; tracking speed; Actuators; Niobium; Springs; Sliding control; fuzzy logic; linear motor; piezoelectric actuator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
Conference_Location :
Jogjakarta
Print_ISBN :
978-1-4799-1206-3
Type :
conf
DOI :
10.1109/ROBIONETICS.2013.6743579
Filename :
6743579
Link To Document :
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