IEEE 1855-2016 pdf free
IEEE 1855-2016 pdf free.IEEE Standard for Fuzzy Markup Language.
Part 7 is extremely important as it covers actual algorithms that power the programmable controllers [B7]. The nature of fuzzy logic (FL) is such that, without good and standardized documentation, it is impossible to understand how the control algorithm works [B7]. Part 7, Fuzzy control programming. has the explicit objective stated in the document: to provide the designers of fuzzy systems with a unified and common understanding of the basic means to integrate fuzzy reasoning in the Programmable Controller languages according to IEC 61131-3, as well as the possibility to exchange intcropcrablc fuzzy control programs among diffi.rcnt hardware architecture [B7]. The first goal, i.e.. the one related to the programming languages, is probably less relevant today than the standards committee thought [B7J. In fact, IEC 61131-3 defines three graphical and two textual programming language standards for PLC (i.e., Programmable Logic Controller) [B7]:
Ladder diagram (LD), graphical
Function block diagram (FBD), graphical
Structured text (ST). textual Instruction list (IL), textual
Sequential function chart (SFC), graphical
This is clearly restrictive and reflects both the date of publication of the standard. December 1993, and the fact that it had been under revision for quite some time. Today, the object-oriented paradigm would probably be added [B7]. The second goal, i.e., the possibility to exchange interoperable fuzzy control programs among different hardware architectures, has become very relevant to practitioners and vendors of software for fuzzy systems. not only in the area of fuzzy control, but also in the more general area of FL applications [117]. In many applications, fuzzy systems have useful benefits when compared to traditional controllers (see Annex A). However, the actual design of fuzzy systems heavily relies on hardware architectures, which will implement the running version of planned controllers. Indeed, even though fuzzy systems can be developed by using hardware solutions characterized by low costs and low complexity, their implementation is strongly bounded by the electrical, electronic, and programming constraints related to the particular hardware platform [B 1J. The negative impacts of this dependence increase further when fuzzy control approaches are used for modeling the behavior of ubiquitous frameworks in distributed computing environments composed by collections of interacting and heterogeneous hardware devices [B2].IEEE 1855 pdf download.
