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August 2007, Sept. 2007, Oct. 2007, Nov. 2007, Dec. 2007, 2008


Issue 10, Volume 2, October 2007
Print ISSN: 1991-8763
E-ISSN: 2224-2856







Title of the Paper:  Simulation Research of Fuzzy-PID Synthesis Yaw Vector Control System of Wind Turbine


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


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.

Keywords: Dispersal Controller, Evapotranspiration, Fuzzy logic, Lawn, Mamdani Inferencing, and Tensiometer

Title of the Paper: FPGA Realization of Fuzzy Temperature Controller for Industrial Application


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.

Keywords: VHDL, Temperature controller, Fuzzy, Synthesis, FPGA

Title of the Paper: Real-time Fuzzy Digital Filter by ARMA Systems


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: [1], [3], [9], [11], [14], [15], [16], [20], [21]), adaptive digital filters concepts (to see: [2], [5], [11] and [19]) with Real-time properties (to see: [12], [13] 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 [21]. Illustratively, the classification of the output signals system respect to the desired answer in linguistic natural form (to see: [12] and [19]), requiring to establish the membership function set with respect to these for the characterization in computational sense as nature linguistic [3]. The RTFDF needs a group of rules inside of the knowledge base (in mathematical sense using logic connectors (IF and THEN) in agreement to [19]) 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 ([7],[16],[18] and [21]). 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.

Keywords: Fuzzy logic, digital filter, adaptive filter, knowledge base, Real-time.

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