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14 results for “fuzzy control rules”
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Research ArticleOpen accessIn the keywordsFuzzy Parametric Deduction for Material Removal Rate OptimizationTian-Syung LanProblem statement: A general optimization scheme without equipment operations for CNC (computer numerical control) finish turning is deemed to be necessarily developed. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the Material Removal Rate (MRR) based on L9(34) orthogonal array. Twenty-seven fuzzy control rules … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Fuzzy Logic Controller Implemented on FPGA Circuit for Photovoltaic SystemsAouatif Ibnelouad, Abdeljalil Elkari, Hassan Ayad, Mostafa MjahedTo be the photovoltaic arrays capable to transport the maximum power obtainable, it must be combined with Maximum Power Point Tracking (MPPT). To succeed, we will improve a Maximum Power Point Tracking (MPPT) method, based on intelligent technique such as Fuzzy Logic Controller (FLC), compared with a conventional method which is P&O. This improved method applied to a stand-alone photovoltaic … …Journal of Computer Science, Vol. 16, Issue 5 · 5 Jun 2020 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of an Intelligent Control by Using Bee Colony Optimization TechniqueS. Tiacharoen, T. ChatchanayuenyongProblem statement: In the modern industrial manufacturing system, the efficiency of machine control is essential to reduce waste and increase the output. Most of the manufacturing machines employ an induction motor in their driving system. A number of induction motors must be controlled during machine operation. The more accurately these motors are controlled the higher is the quality of the … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 4 Aug 2012 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermal Control of a Greenhouse by Variation in Ventilation Rate using a Fuzzy Parallel Distributed Compensation Controller with an RST Regulator in Each RuleElyes Feki, Amine Chouchaine, Abdelkader MamiProblem statement: The greenhouse has uncontrollable inputs that affect its climate, which arises the difficulty to regulate its inside temperature. The solution can be found using a multi-system approach like the Takagi-Sugeno System from which a design of a Parallel Distributed Compensation (PDC) controller is performed. However, a stability problem arises and was negotiatesd in general based on a Lyapunov … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 27 Apr 2012 · 7,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractSubway Train Braking System: A Fuzzy Based Hardware ApproachMamun Bin Ibne Reaz, Jubayer Jalil, Hafizah Husain, Badariah BaisProblem statement: Automated subway train-braking system require perfection, efficiency and fast response. In order to cope with this concerns, an appropriate algorithm need to be developed which need to be implemented in hardware for faster response. Approach: In this research, the FPGA realization of fuzzy based subway train braking system has been presented on an Alter FLEX10K device to provide … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,175 accessesView PDFCite
Research ArticleOpen accessIn the abstractParametric Deduction Optimization for Surface RoughnessTian-Syung LanProblem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry. Approach: In this study, four parameters (cutting depth, feed … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,440 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Deduction Material Removal Rate Optimization for Computer Numerical Control TurningTian-Syung LanProblem statement: Material Removal Rate (MRR) is often a major consideration in the modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary proposed for the industry. Approach: In this study, … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractTakagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System StabilityLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of an Optimal Fuzzy Logic Controller Using Genetic AlgorithmS. Khan, S. F. Abdulazeez, L. W. Adetunji et al.All control systems suffer from problems related to undesirable overshoot, longer settling times and vibrations while going form one state to another state. Most of relevant techniques had been in the form of suggesting modification and improvement in the instrumentation or interfacing part of the control system and the results reported, remain suffering from shortcomings related to hardware parameter dependence … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 8,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Advantages of PID Fuzzy Controllers Over The Conventional TypesAbdullah I. Al-Odienat, Ayman A. Al-LawamaFuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 18,036 accessesView PDFCite