Fuzzy Controller of a Small Wind-Fuel Cell Hybrid Energy System 智能控制基础课件.ppt

Fuzzy Controller of a Small Wind-Fuel Cell Hybrid Energy System Fuzzification The 7 membership functions were assigned the linguistic labels of Positive Large, Positive Medium, Positive Small, Zero, Negative Small, Negative Medium, and Negative Large. fuzzification.m function [ fuzzy ] = fuzzification( data, rules ) % Define linguistics plarge = 1; pmedium = 2; psmall = 3; zero = 4; nsmall = 5; nmedium = 6; nlarge = 7; if data = rules( plarge ) fuzzy = plarge; elseif data = rules( pmedium ) fuzzy = pmedium; elseif data rules( zero ) fuzzy = psmall; elseif data == rules( zero ) fuzzy = zero; elseif data = rules( nlarge ) fuzzy = nlarge; elseif data = rules( nmedium ) fuzzy = nmedium; elseif data = rules( nsmall ) fuzzy = nsmall; elseif data rules( zero ) fuzzy = nsmall; end; Fuzzy Rule-base The rule-base was implemented with a two input, two output system. All the inputs use the same linguistic modifier’s of positive large (pl), positive medium (pm), positive small (ps), zero (z), negative small (ns), negative medium (nm), and negative large (nl). Based on the linguistics, 49 rules were established and outputs were chosen based on the desired output for the system. Defuzzification function [ crisp ] = fuzzification( data, rules ) crisp = rules( data ); REFERENCES /eprints/free/johnsonmattheyapril03.pdf http://www.ecn.nl/bct/solupor.en.html /reports/E04.pdf /news-room/release.php?id=618 * * Emerging Technologies in Energy Engineering Wind and Solar energy technologies are the forerunners Hydrogen based energy conversion bears good potential Source: Worldwatch Institute Source: Plug Power Inc., NY Renewable Resources Wind Power Resources Allocation Application in He’nan Author: [Lu Minghua /Kang Yan/ Liu Guoshun] Hybrid Energy Systems in Stand-alone Applications Energy from a renewable source depends on environmental conditions In a Hybrid Energy System,