This objective research to study the possibility of used properties pozzolan material for concrete cement the ternary blend by fly ash metakaolin and silica powder by replacement cement partially on the strength for Flexural and impact by replace Portland cement. Consideration of concrete by varying the ratio there are three values are (w/d) of 0.38 0.55 and 0.8 follow on standards ACI 211.1-91 and variable amounts of replacement cement some. The ternary blend of the fly ash metakaolin and silica powder of percentage 0 15 20 and 25 and by weight of cement. and the control specimens (w/b) without contain fly ash kaolin and silica powder the slump test in the range of 3-5 cm and the use super plasticizer to control the slump test of concrete. By casting specimens of cylindrical diameter 10x20 cm cube 10x10x10 cm and the beam size 10x10x35 cm after curing 28 days and test compressive tensile and flexural strength of concrete all specimens The results showed that The increase will help improve the quality of the concrete physical properties 35 percent up on the cement with clay 15 percent will have the strength to most of the compression is reduced. The increased of compressive and Tension strength as the percentage decrease when replacing cement with fly ash 35 percent up on replacing cement with clay to pull the maximum percentage of 10 bending when replacing cement with clay at a ratio of 10 percent is paid bending. The maximum value of fly ash the flexural increased replace cement in the ratio of 50 per cent are increased the concrete with the most and the last place of cement. As a result of the porosity of the concrete with lower amounts of tightness concrete has increased. Fuzzy logic model is presented for predicting the strength for Flexural and impact by replace Portland cement. The result of the study from experimental case the graph of membership function are present (low medium and high). The results showed that the model Fuzzy Logic. Can be used fuzzy logics to predict as well

This paper presents the application of MATS Algorithm that used to find optimum membership function shapes for a fuzzy logic controller and used to find optimum limit range of a compensate reference current amplitude. This amplitude used to create three-phase compensate reference current signals that compare with three-phase compensate real current signals at hysteresis band current controller (HBCC) to generate gate drive signals of a FL-APF. The FL-APF delivers reactive power to point of common coupling and reduce harmonics components of all supply currents. The MATS evolution mechanisms were found optimum membership functions for fuzzy logic controller. The simulation results after setting optimum parameters were found that the fuzzy logic controller control active power filter to compensate reactive power at the point of common coupling and limit source currents THD to 5% in range and complied with IEEE 519 standard

This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)