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Browsing by Subject "fuzzy controller"

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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Fuzzy logic controller for one-way SMA actuator
    (Wydawnictwa AGH, 2008) Dominik, Ireneusz; Kwaśniewski, Janusz
    Fuzzy logic controllers are well known and often used for their ability to control nonlinear objects in an easy and efficient way. In the article fuzzy logic controller was chosen to control displacement of one-way actuator where the movement in one-way was realized by SMA wire while an external load was responsible for the way back. The SMA wire is characterized by one of the highest in technology weight ratios, which describes the ratio of maximum external load to its own weight. It allows for building miniature devices which are extremely efficient. Mostly SMA wires are applied as on-off actuators. Having built a test stand with SMA wire the research on selection of an appropriate method control was launched to control displacement. Eventually a fuzzy controller was implemented into PLC controller made by Omron. On that way in future it will be easier to emigrate from the PLC platform to a dedicated embedded microprocessor. The fuzzy controller was built as a task controller, where the specialized controllers for particular stages of the systems' operation were distinguished. They allowed for accurate and fast SMA wire control. The design controller allows for position control with +/- 0.1 % accuracy with time response below 0.4 s.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Regulator rozmyty jako przykład algorytmu odpornego
    (Wydawnictwa AGH, 2006) Pauluk, Mariusz
    The paper presents a fuzzy controller, that controls a three dimensional laboratory crane model in real time. Some basic definitions, which the construction of the controller is based on, were also brought up. The control process is noise robust. Basing on received experimental results, likewise on graphic analyze of the control set, an influence of the separate fuzzy rules on quality of the process control was showed. The experiments were carrying up in the MATLAB-Simulink software environment.