Current Issue : July - September Volume : 2018 Issue Number : 3 Articles : 5 Articles
To realize the maximum power output of a grid-connected inverter, the MPPT (maximum power point tracking) control method\nis needed.The perturbation and observation (P&O) method can cause the inverter operating point to oscillate near the maximum\npower. In this paper, the fuzzy control P&O method is proposed, and the fuzzy control algorithm is applied to the disturbance\nobservation method. The simulation results of the P&O method with fuzzy control and the traditional P&O method prove that not\nonly can the newmethod reduce the power loss caused by inverter oscillation during maximum power point tracking, but also it has\nthe advantage of speed. Inductive loads in the post-grid-connected stage cause grid-connected current distortion. A fuzzy control\nalgorithm is added to the traditional deadbeat grid-connected control method to improve the quality of the system�s grid-connected\noperation.The fuzzy deadbeat control method is verified by experiments, and the harmonic current of the grid-connected current\nis less than 3%....
This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The\nindustrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come\nacross frequent load variations and external disturbances. Hence, for the smooth and trouble-free operation of the industrial\npressure system, an effective control mechanism could be adopted. The objective of this work is to design an intelligent\nfuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external\ndisturbances. A novel model of a pilot pressure regulating system is developed to validate the effectiveness of the proposed\ncontrol scheme. Simulation studies are carried out in a delayed nonlinear pressure regulating system under different operating\nconditions using fractional-order PID (FOPID) controller with fuzzy online gain tuning mechanism. The results demonstrate\nthe usefulness of the proposed strategy and confirm the performance improvement for the pneumatic pressure system. To\nhighlight the advantages of the proposed scheme a comparative study with conventional PID and FOPID control schemes is\nmade....
This study develops a new integrated measurement and control system for intermixed biogas and photovoltaic systems to achieve\nsafe and optimal energy usage. Literature and field studies show that existing control methods on small- to medium-scale systems\nfall short of comprehensive system optimization and fault diagnosis, hence the need to revisit these control methods. The control\nstrategy developed in this study is intelligent as it is wholly based on fuzzy logic algorithms. Fuzzy logic controllers due to their\nsuperior nonlinear problem solving capabilities to classical controllers considerably simplify controller design. The mathematical\nmodels that define classical controllers are difficult or impossible to realize in biogas and photovoltaic generation process. A\nmicrocontroller centered fuzzy logic measurement and control embedded system is designed and developed on the existing hybrid\nbiogas and photovoltaic installations. The designed system is able to accurately predict digester stability, quantify biogas output,\nand carry out biogas fault detection and control. Optimized battery charging and photovoltaic fault detection and control are\nalso successfully implemented. The system is able to optimize the operation and performance of biogas and photovoltaic energy\ngeneration....
We present a new class of fuzzy aggregation operators that we call fuzzy triangular aggregation operators. To do so, we focus on\nthe situation where the available information cannot be assessed with exact numbers and it is necessary to use another approach\nto assess uncertain or imprecise information such as fuzzy numbers. We also use the concept of triangular norms (t-norms and\nt-conorms) as pseudo-arithmetic operations. As a result, we get notably the fuzzy triangular weighted arithmetic (FTWA), the\nfuzzy triangular ordered weighted arithmetic (FTOWA), the fuzzy generalized triangular weighted arithmetic (FGTWA), the fuzzy\ngeneralized triangular ordered weighted arithmetic (FGTOWA), the fuzzy triangular weighted quasi-arithmetic (Quasi-FTWA),\nand the fuzzy triangular ordered weighted quasi-arithmetic (Quasi-FTOWA) operators. Main properties of these operators are\ndiscussed as well as their comparison with other existing ones. The fuzzy triangular aggregation operators not only cover a wide\nrange of useful existing fuzzy aggregation operators but also provide new interesting cases. Finally, an illustrative example is also\ndeveloped regarding the selection of strategies....
A matrix method called the Bernoulli wavelet method is presented for numerically solving the fuzzy fractional integrodifferential\nequations. Using the collocation points, this method transforms the fuzzy fractional integrodifferential equation to a matrix\nequation which corresponds to a system of nonlinear algebraic equations with unknown coefficients. To illustrate the method,\nit is applied to certain fuzzy fractional integrodifferential equations, and the results are compared....
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