2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2007
DOI: 10.1109/aim.2007.4412448
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Robustness evaluation of fuzzy-based NCTF control of point-to-point (PTP) positioning systems

Abstract: The positioning systems generally need a good controller to achieve high accuracy, fast response and robustness. In addition, ease of controller design and simplicity of controller structure are very important for practical application. For satisfying these requirements, NCTF (nominal characteristic trajectory following controller) has been proposed as a practical point-to-point (PTP) positioning control. However, the NCTF control system has a PI compensator which is designed without systematic procedure for o… Show more

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Cited by 4 publications
(4 citation statements)
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“…Robustness evaluation has also been examined to a small step input. The simulation indicated that the robustness against inertia variation was as good as NCTF controller with PI compensator [17]. The experimental results also confirmed effectively NCTF controller with fuzzy compensator can be applied to replace NCTF controller with PI compensator as shown in Fig.…”
Section: B Rotary Systemsupporting
confidence: 80%
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“…Robustness evaluation has also been examined to a small step input. The simulation indicated that the robustness against inertia variation was as good as NCTF controller with PI compensator [17]. The experimental results also confirmed effectively NCTF controller with fuzzy compensator can be applied to replace NCTF controller with PI compensator as shown in Fig.…”
Section: B Rotary Systemsupporting
confidence: 80%
“…In order to eliminate a trial and error process in PI compensator, a fuzzy-based NCTF control system had been proposed [17]. Its structure consists of an NCT and a fuzzy compensator.…”
Section: B Rotary Systemmentioning
confidence: 99%
“…The NCTF control concept designed in [34] and [35,36] are extended for distinctive compensator design approached in a rotary motion system emphasizing on twomass to achieve precise and accurate control performance. Then, the robustness and the positioning of the system are compared by using three different types of compensators designs which are fuzzy logic (FL) control, proportional integral (PI) control, and extended minimal resource allocation network (EMRAN) control.…”
Section: Introductionmentioning
confidence: 99%
“…However, an unlimited PI parameters combination is available from the stable region, thus designer's judgment or try and error approach is needed. With the intention to keep the NCTF controller simple, easier and more practical, NCTF controller with fuzzy compensator had been proposed [10]. The fuzzy compensator replaced PI compensator.…”
Section: Introductionmentioning
confidence: 99%