This paper presents the use of the predictive fuzzy logic controller (PFLC) applied to attitude control system for agile micro-satellite. In order to reduce the effect of unpredictable time delays and large uncertainties, the algorithm employs predictive control to predict the attitude of the satellite. Comparison of the PFLC and conventional fuzzy logic controller (FLC) is presented to evaluat...

This paper presents the speed control of SRM which is directly fed from an AC supply through a simple R dump converter. The controller uses fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. The FLC performs a PI-like control strategy, giving the current reference variation based on speed error and its change. The performance of the drive system was evaluated through digital s...

In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application aspects of the developed MR damper for landing gear system, to attenuate the sustained vibrations during the landing phase. Also a comparative study is made on the responses obtained f...

During the past several years fuzzy control has emerged as one of the most active and fruitful areas of research in the field of control engineering especially, in the realm of industrial processes. Fuzzy control, based on fuzzy logic is a logical system which incorporates human thinking rather than traditional analytical methods. Therefore, this paper aims to explore the utility of this contro...

Switched Reluctance Motors (SRMs) are increasingly popular machines in electrical drives, whose performances are directly related to their operating conditions. Their dynamic characteristics vary as conditions change. Recently, several methods of the modeling of the magnetic saturation of SRMs have been proposed as analytical functions. However, the SRM system is nonlinear and cannot be adequat...

In recent years, expansion of power system is not as par the need of power demand which has increased substantially [3]. As a consequence, existing transmission lines are heavily loaded and the stability of the system ecomes a power transfer-resisting factor. Flexible AC transmission systems (FACTS) controllers have been mainly designed to solve such type of power system steady state controllin...

Fuzzy logic and evolutionary computation have proven to be convenient tools for handling real-world uncertainty and designing control systems, respectively. An approach is presented that combines attributes of these paradigms for the purpose of developing intelligent control systems. The potential of the genetic programming paradigm (GP) for learning rules for use in fuzzy logic controllers (FL...

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 ...

During the past decade, pond aeration systems have been developed which will sustain large quantities of fish and invertebrate biomass. Dissolved Oxygen (DO) is considered to be among the most important water quality parameters in fish culture. Fishponds in aquaculture farms are usually located in remote areas where grid lines are at far distance. Aeration of ponds is required to prevent mortal...

This paper presents the design and implementation of MATLAB graphical user interface (GUI) based fuzzy and integrated fuzzy logic controllers (IFLC) for liquid level control system. The control algorithms are developed in MATLAB. The fuzzy tool box in MATLAB is used to design fuzzy logic controller. An indigenously designed ADDA board is interfaced to PC through PCI DIOT card to acquire signals...