Particle Swarm Optimization (PSO) is proposed in our research to generate Fuzzy Controller, a fuzzy logic control (FLC) is proposed to control manufacturing system presented by mmachine line as an m-order state-space. As results indicated, use particle swarm optimization (PSO) method for optimizing a fuzzy logic controller (FLC) for manufacturing system is better than that of fuzzy logic contro...

The performance of two Fuzzy Logic Controllers (FLCs), Proportional-Derivative Controller (PD-FLC) and Proportional-Integral-Derivative controller (PID-FLC) for the pH control was studied in a neutralization process. The process used to test the controller performance is the continuous neutralization of acetic and propionic acids in a water stream with an aqueous solution of sodium hydroxide. T...

A three-term (proportional plus integral plus derivative, PID) fuzzy logic controller (FLC) algorithm have been and continue to be a very active and fruitful research field since early pioneered work on fuzzy controller. In this study, we propose taxonomy of various methods to design three-term FLC. Two applications representing second-order systems and third-order systems were used to analyze ...

A complete tuning procedure of designing a fuzzy logic controller (FLC) and a new stability evaluation using root locus criterion for fuzzy dynamic systems are presented. The importance of FLC in industrial applications arises from the fact that a nonlin-ear mapping between inputs and outputs of the process that leads to a preferred controller performance which can be easily described by fuzzy ...

Distributed flexible AC- transmission system (D-FACTS) is a recently advanced FACTS device with high flexibility and smaller size. The DPFC can control power flow in transmission lines, regulate bus voltages and it can also enhance stability margin in power grids. Adaptive-neural network-based fuzzy inference system (ANFIS) combines features of artificial neural network and fuzzy controller. Th...

In this paper, Model based Predictive Control (MPC) and fuzzy logic controller (FLC) for temperature process station was proposed. This controller design gives an optimum performance even under process disturbances. Conventional controllers like P, PI, and PID controllers fail to control the process effectively under disturbances, conventionally accurate model of the process and complex algorit...

In this paper Genetic Algorithm based Fuzzy Logic Controller for temperature control in a plastic extrusion is developed and tested through a simulation study. A novel GA based FLC method is implemented to design a practicable advanced controller. Manifest feature of the proposed method is smoothing of undesired control signal of mamdani type FLC controller. Plastic extrusion system is generall...

This paper presents intelligent control for visual servoing system. The proposed system consists of a camera placed on a Pan Tilt Unit (PTU) which consists of two different servo motors. Camera and PTU are connected to a personal computer for the image processing and controlling purpose. Color threshold method is used for object tracking and recognition. Two different control methods, PID and F...

This paper proposes the design of a Type‐2 Fuzzy Logic Controller (T2‐FLC) using Genetic Algorithms (GAs). The T2‐FLC was tested with different levels of uncertainty to regulate velocity in a Direct Current (DC) motor. The T2‐FLC was synthesized in Very High Description Language (VHDL) code for a Field‐ programmable Gate Array (FPGA), using the Xilinx System ...

The unified power quality conditioner (UPQC) is being used as a universal active power conditioning device to mitigate both current and voltage harmonics at a distribution side of power system network. This paper emphasis enhancement of power quality by using UPQC with fuzzy logic controller (FLC) and proportional-integral (PI) controller. The main purpose of the proposed (FLC) is capable of pr...