NDLI: PetraFuz : a Low Cost Embedded Controller Based Fuzzy Logic Development System

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PetraFuz : a Low Cost Embedded Controller Based Fuzzy Logic Development System

Content Provider	Semantic Scholar
Author	Hannawati, Anies Lim, Resmana Ferdinando, Hany
Copyright Year	2001
Abstract	This paper describes a low cost embedded controller based fuzzy logic development system (PetraFuz, Petra Fuzzy Development System), developed by Control System Laboratory, Electrical Engineering, Petra Christian University, Surabaya – Indonesia. This system consists of embedded controller MCS51 target hardware and a Personal Computer (PC)-based supported fuzzy development software. The target hardware is linked to the PC via serial communication interface. Fuzzy kernel based on Mamdani type has been developed and embedded on the controller. On the other hand, Windows based software has been developed providing a user-friendly interface. PetraFuz is used to develop fuzzy logic application systems especially for control systems, which intend to be implemented on a low cost embedded controller. The abilities of this system are for supporting several stages in developing a fuzzy logic application such as: designing fuzzy control (membership function, fuzzy if-then rules, etc.), evaluating control surface, making assembly code for MCS51 and downloading compiled binary code to the target hardware of microcontrollers MCS51. Control system response can be acquitted by Petrafuz software from RS232 serial communication, therefore system response can be drawn at PC monitor which are very important to analyze for fuzzy tuning process (updating if-then rules & membership function/ MF). Controller tuning process can be done in an online manner. The PetraFuz tools help people interesting in designing and implementing a fuzzy logic control system on an embedded controller. Hopefully, PetraFuz could give a positive contribution for academic & hobbies society interesting in developing various applications of fuzzy logic control.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://static.aminer.org/pdf/PDF/000/296/123/applying_fuzzy_logic_to_recommend_consumer_electronics.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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