Title of the Paper: Simulation Research of Fuzzy-PID Synthesis Yaw Vector Control System of Wind Turbine
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Authors: Piao Haiguo, Wang Zhixin
Abstract: Enhancing the stability and robust of yawing system effectively,
carrying out the simulation research of fuzzy-PID synthesis control.
Designing the yawing vector control system with the synthesis controller of
fuzzy-PID, modeling the system with Matlab simulation software, and taking
simulation test. Comparing the simulation curves with common PID control and
fuzzy PID subsection control, the result indicate that the fuzzy-PID
synthesis control system has better performances in the stability and robust
of yawing system, which increase the safety factor of system.
Keywords: Fuzzy-PID synthesis; Stability; Robust; Yawing control; Vector
control; Wind turbine.
Title of the Paper: Intelligent Controlling Water
Dispersal: Comparison between Mamdani and Conventional Approach
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Authors: Shuzlina Abdul Rahman, Sofianita Mutalib,
Marina Yusoff, Azlinah Mohamed
Abstract: Adequacy of water supply plays a vital role in maintaining lawn
health. Water need to be dispersed intelligently to provide a sufficient
amount of moisture to the soil. Conventional system was investigated and it
is found that the system used excessive amount of water and the amount
dispersed may not be suitable for the moisture level of the lawn since it
does not consider soil moisture based on weather condition. This research
demonstrates the capability of fuzzy logic by developing a prototype namely,
Fuzzy Water Dispersal Controller (FuziWDC). Rules were developed in Mamdani-style
with normal fuzzy subsets using ranges suggested by the experts and later
applied to a set of common Bermuda turfgrass. It is found that FuziWDC was
particularly successful in controlling the water dispersal. Results were
simulated in a graphical form and user would be notified about the dispersal
time and day, the amount of water to use, and duration of dispersal. The
prototype has performed better than the conventional irrigation system based
on the lower annual average water usage for the whole year recorded.
Dispersal Controller, Evapotranspiration, Fuzzy logic, Lawn, Mamdani Inferencing,
Title of the Paper: FPGA Realization of Fuzzy
Temperature Controller for Industrial Application
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Authors: Shabiul Islam, Nowshad Amin, M.S.Bhuyan, Mukter Zaman,
Bakri Madon, Masuri Othman
Abstract: This paper describes FPGA realization of a Fuzzy Temperature
Controller (FTC) using VHDL intended for industrial application. The system
is built up with four major modules namely fuzzification, inference,
implication and defuzzification. The composition method selected for the
fuzzy model is the Max-Min composition while the Mamdani Min operator is
chosen as the implication method. Each module is modeled individually using
behavioral VHDL, and the combined using structural VHDL. Successful timing
and functional simulations are carried out to verify the correct
functionality of the algorithm. The verified VHDL model is synthesized using
synthesis tool to get gate-level architecture of the FTC chip. The designed
synthesized netlist is downloaded into FPGA board from Altera for verifying
the functionality of the FTC chip. The operating frequency of the FTC chip
is 5MHz with a critical path of 199.3ns.
VHDL, Temperature controller, Fuzzy, Synthesis, FPGA
Title of the Paper: Real-time Fuzzy Digital Filter
by ARMA Systems
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Authors: J. C. García Infante, J.
J. Medel Juárez, p. Guevara López.
Abstract: This paper describes the Real-time Fuzzy Digital Filters (RTFDF) considering for it the fuzzy logic
description (to see: , , , , , , , , ), adaptive digital filters concepts (to see: ,
,  and ) with Real-time properties (to see: ,  and references in it).
The main characteristic operation of this filter is to use a region, which has a linguistic natural description and it
is known as the knowledge base . Illustratively, the classification of the output signals system respect to the
desired answer in linguistic natural form (to see:  and ), requiring to establish the membership function
set with respect to these for the characterization in computational sense as nature linguistic . The RTFDF
needs a group of rules inside of the knowledge base (in mathematical sense using logic connectors (IF and
THEN) in agreement to ) for to select the best way that the filter need to take, respect to the natural
evolution answer system. Novel RTFDF description considers quality answer into natural languages, and the
interaction time restrictions with adaptive properties into the fuzzy structure filter.
The basic results described in this document are in formal sense, using the set definitions developed in the
papers and referenced below without forgetting the Nyquist, Shannon, Zadeh and Passino criteria into
convolution filter scheme (,, and ). Experimentally, we propose a simulation scheme by this
type of filters, using Matlab tools by basic ARMA models. The paper has seven basic sections compound as: 1.
Introduction, 2. Membership Functions, 3. Fuzzy Digital Filters, 4. Real-time Fuzzy Digital Filters, 5.
Simulations, 6.Conclusions and References.
Fuzzy logic, digital filter, adaptive filter, knowledge base, Real-time.