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93 articles for “fuzzy control”
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Research ArticleOpen accessEvery word in the titleIntelligent Control for Self-erecting Inverted Pendulum Via Adaptive Neuro-fuzzy Inference SystemA. A. Saifizul, Z. Zainon, N. A.Abu Osman et al.A self-erecting single inverted pendulum (SESIP) is one of typical nonlinear systems. The control scheme running the SESIP consists of two main control loops. Namely, these control loops are swing-up controller and stabilization controller. A swing-up controller of an inverted pendulum system must actuate the pendulum from the stable position. While a stabilization controller must stand the pendulum in the … …American Journal of Applied Sciences, Vol. 3, Issue 4 · 30 Apr 2006 · 7,322 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpeed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural NetworkShebel ALSABBAH, Tariq MUGHRABIThe speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the amplitude and … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDESIGN AND COMPARATIVE ANALYSIS OF DC-DC BOOST AND SINGLE-ENDED PRIMARY-INDUCTANCE CONVERTER CONVERTERS USING SOLAR POWERED MAXIMUM POWER POINT TRACKING ALGORITHMSC. Thulasiyammal, S. SuthaThis study provides a comprehensive review of the Maximum Power Point Tracking (MPPT) techniques applied to Photovoltaic (PV) power system. Also this study presents a comparative study between three most fashionable techniques such as Incremental conductance (Inc) algorithm and Perturb and Observation (P&O) algorithm and fuzzy logic controller. These three techniques have been applied to converters such as Boost and … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 24 Apr 2014 · 6,396 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA REVIEW OF INTELLIGENT CONTROL SYSTEMS APPLIED TO THE INVERTED-PENDULUM PROBLEMPedro Ponce, Arturo Molina, Eugenio AlvarezThis study shows the latest advances in the application of intelligent control to the inverted-pendulum problem. A complete review regarding intelligent control design is presented in this study in order to show the most important artificial intelligence methods used for controlling an Inverted-Pendulum. Also this study proposed the use of a neural-fuzzy-with-genetic-algorithms controller for the inverted pendulum problem which gives … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 2 · 7 Apr 2014 · 8,379 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Control Algorithms for Second Order SystemsDanilo Pelusi, Raffaele MascellaProportional Integral Derivative (PID) controllers are widely used in industrial processes for their simplicity and robustness. The main application problems are the tuning of PID parameters to obtain good settling time, rise time and overshoot. The challenge is to improve the timing parameters to achieve optimal control performances. Remarkable findings are obtained through the use of Artificial Intelligence techniques as … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm OptimizationT. V. Mahendiran, K. Thanushkodi, P. ThangamProblem statement: The main objective of this research is to obtain the speed control of switched reluctance motor with minimum settling time and without overshoot. Approach: A new algorithm has been developed with the combination of differential evolution and particle swarm optimization and applied for speed control of switched reluctance motor under sudden change in speed. Also speed control of … …Journal of Computer Science, Vol. 8, Issue 9 · 10 Aug 2012 · 7,436 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDigital Simulation, Design, Comparitive Analysis of Intelligent Controllers in Adjustable Speed Drives for PQ EnhancementA. Srikrishnan, B. Justus RabiProblem statement: This study deals with the analysis, design and comparison between fuzzy and genetic based adjustable speed drives with respect to the parameters which determines the quality of power. Approach: ASD system using fuzzy controllers provide ride-through capability during voltage sags, reduces harmonics, improves power factor and is highly reliable, whereas by using genetic algorithm optimized ASD systems, the … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,012 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGradient Descent Learning for Utility Current Compensation using Active Regenerative PWM FilterR. Balamurugan, G. GurusamyProblem statement: Harmonic analysis is a primary matter of power quality assessment. Its main intention is to check the utility whether it is delivering the loads without any deviations in voltages and currents. The problem is due to proliferation of Electronic converters and power electronics which gave birth to numerous new applications, offering unmatched comfort to the customers. Approach: Harmonics … …Journal of Computer Science, Vol. 7, Issue 12 · 14 Oct 2011 · 6,545 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSubway 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 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