Fuzzy controllers are used to control consumer products, such as washing machines, video cameras, and rice cookers, as well as industrial processes, such as cement kilns, underground trains, and robots. Fuzzy control is a control method based on fuzzy logic. Just as Fuzzy logic can be described simply as “computing with words rather than numbers’’ and Fuzzy control can be described simply as “control with sentences rather than equations’’. A Fuzzy controller can include empirical rules, and that is especially useful in operator controlled plants.This is the world of automation. The majority of the products allow actions to be automatically triggered by events. The Performance of a SCADA system can be much improved using a fuzzy logic controller based SCADA in industries. This book describes design of fuzzy logic based SCADA Systems using MATLAB fuzzy logic toolbox.This Book is useful for Engineers and Research Scholars in the field of Electrical & Power Engineering.
This study is aimed at characterization of Fuzzy logic control based system with varying span of Member Function by establishing region of stable operation for different cases using range provided by 'k' for setting the span for desired performance.The performed work may be used as reference, by designers for designing a Fuzzy logic based control system depending upon the requirement of desired application.
Information retrieval system is heart of information system. The primary purpose of establishing an information retrieval system lies in assisting the users to effectively acquire drsired information. That is, users' query must be properly understood and answered. The present work falls in the area of information retrieval and to be more specific : query processing of information retrieval. This has been influenced by the limitation and disadvantages of the commercially available Boolean logic retrieval model. The limitation and disadvantages of the query processing of the Boolean logic model have been pointed out and logical solution using fuzzy set theory and fuzzy logic have been presenteted.
Petri nets are considered to be the alternative approach for analysis, design and implementation of DES. However, the prospect of uncertain and vague information still creates a problem. Hence, to handle the uncertainty, fuzzy logic is integrated into Petri nets to form Fuzzy Automation Petri nets as a modeling tool to handle these uncertainties. The use of Fuzzy Automation Petri nets (FAPN) demands a valid translation of the formalism to Ladder Logic Diagrams for implementation. This is achieved using Token Passing Methodology. This work investigates the use of Fuzzy Petri nets in supervisory control and suggests a modified and improved version called Fuzzy Automation Petri net (FAPN) as a modeling tool. It presents a systematic approach to the synthesis of Fuzzy Petri net based supervisor for the forbidden state problem using supervisory design procedure. The controlled model of the system can be constructed from this FAPN net structure. The implementation is using Flexible Manufacturing System as an example of DES.
This book is all about the application of fuzzy logic technique for the energy planning process. It demonstrates the use of fuzzy goal programming model for energy resource allocation at the micro level, where the energy resources and needs are uncertain. This book presents an integrated planning approach by adopting multinomial logit model to household fuel choice behaviour for heating and cooking end-uses; and applies real option model for the policy evaluation of biogas and solar water heater system in the study region. This book is very useful for researchers who wish to work in the area of integrated fuzzy logic and energy resource planning.
Design and implementation of fuzzy logic controller for mobile robot navigation in unknown environments is presented. The task of navigation is divided into three behaviors namely hurdle avoidance, wall following and goal seeking. The outputs from these behaviors are combined to generate collision free motion of robot amongst obstacles in reaching the target. The controllers for these behaviors are designed using Fuzzy Logic toolbox of MATLAB® and their implementation is realized with readily available and inexpensive AT89C52 microcontrollers. Finally, the robot with these controllers is tested in indoor environments containing obstacles with changing destination places and is found to reach the set targets successfully which shows the validity of the designed controllers in achieving the required task.
The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications.*Introduces cutting-edge control systems to a wide readership of engineers and students*The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies*Learn to use VHDL in real-world applications
Over the recent years, Process control systems have found application in many new areas. Integration of knowledge from Computational Intelligence, Telecommunication and Microarchitectures, has led to evolution of many different flavors of process control like Distributed Control System (DCS), Supervisory Control and Data Acquisition System (SCADA) etc. This book describes development of SCADA system for Heating Ventilation and Air Conditioning System. Introduction of Process control logic in a HVAC system helps to optimize its power consumption. SCADA system described in this book is based on an actual project undertaken in 2009 at GIK Institute, Pakistan. HVAC system discussed comprises of 100HP Electrical load and 250 tons of air conditioning load. Effectiveness of introduced SCADA system can be judged by the saving rate of 96% at a negligible operational cost of 3%. Discussed SCADA system is based on innovative use of readily available components for inexpensive development. This text should be particularly helpful for those who are considering customized development of a process control system.
Continuous stirred tank reactor is a typical chemical reactor with complex non linear dynamic characteristics. There has been considerable interest in its state estimation and real time control based on mathematical modeling. However, the lack of understanding of the dynamics of the process, the highly sensitive and non linear behavior of the reactor, has made it difficult to develop the precise mathematical modeling of the system. Efficient control of the product concentration in CSTR can be achieved only through accurate model. Here attempts are made to ease the modeling difficulties using AI techniques such as Fuzzy logic. Simulation results demonstrate the effectiveness of Fuzzy logic control technique. The system is a stirred tank reactor with two flows of liquid enter the system and another flow exits the tank with the formation of product. Simulink was employed to design a model for this system in the simulation environment. This work is aimed for utilization by researchers, industrialists’ and students. Furthermore it will be especially relevant and useful for the students of Electrical Engg. and Chemical Engg. for carrying out research in the area of simulation of CSTR.
Since Web is a rich source of information, it becomes necessary to invent assistance systems to efficiently and automatically search, and nominate for more suitable and convenient Web page documents. This kind of tools will help the user to reach its needs on the Web media without wasting time and effort. The purpose of this study is to construct an automated information retrieval system that helps to retrieve the HTML documents that have a textual content similar to any document chosen by a user. The textual content in every electronic repository (including the Web) is statistically variable and has complex behavior. It is noticed that the classical criteria for similarity don’t give an encouraging results in terms of accuracy and rationality metrics. So, in the proposed system a logical paradigm is developed which fundamentally depends on the fuzzy logic criteria to soften the decisions of the matching between the textual contents and makes the results more rational and more reasonable for the user.
The intention of the study is to discuss the information about floating architectural design strategies, then with cooperative assistance of fuzzy logic compose a ruled-based decision support method. Wind and wave effects on user motion comfort target levels and consequently on structural dimensions are converted into simple linguistic rules using fuzzy logic, providing a tool for the designer to see all the possible set of solutions to meet the required objectives that are set by the designer. Motion effects causing vibration on human bio-dynamics are discussed with experts to frame the rule-based decision support model that is formed with seven input variables converted through fuzzy rules into a single output variable. IF..THEN logical statements in the form of rule base which had wind force, wave height, wave length as input parameters that are not controllable and freeboard height, floating structure base width, superstructure area and superstructure form as controllable input parameters where both the uncontrollable and controllable parameters are also correlated in the premise part of the logical statements between IF and THEN, finally using inference system called Mamdani.
This book presents the details theory and applications of Fuzzy sets,fuzzy systems,membership functions & controller designed. A logic based on the two truth values True and False is sometimes inadequate when describing human reasoning. Fuzzy logic uses the whole interval between 0 (False) and 1 (True ) to describe human reasoning. As a result, fuzzy logic is being applied in rule based automatic controllers. A fuzzy control method for automatic steering and a method for line tracking are conveyed in this article. The principal for fuzzy control steering and the construction of fuzzy controller are described in detail.For Example,A vehicle is refitted with a storage battery car. Navigation control system is developed based on digital compass and other sensors. The vehicle acquires the location information using the fuzzy control steering and line tracking method. Test results indicated that the navigation lateral error was less than 0.3m when the robot ran following the predefined line route. Finally, a power system network with UPFC has been considered & A POD controller has designed by using Fuzzy Logic to improve the damping oscillation of power system network.
The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy – neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations.
Over the past few decades there has been massive increase in wireless applications usage and subsequently in allocation of available spectrum. The available spectrum is getting scarce because of this surge in wireless link usage. The scarcity is not only the physical shortage of spectrum but there is an inefficient and inflexible spectrum usage. In order to address the problem of underutilization of spectrum the cognitive radio network (CRN) technology has implemented. According to CRN technology radio users could have the cognitive capacity and adaptability according to different transmission environments what makes them able to transmit through the spectrum holes dynamically and opportunistically. Since in CRN the effective decision making plays a major role to maintain the QoS towards the users, we introduced the effective decision making systems here. In this book we combine Fuzzy logic Mathematical modeling tools with CRN for efficient spectrum usage. To challenge our analysis with real time conditions, we validate the system in multiple propagation environments and channel fading conditions. We implement OFDM technology in CRN to improve the data rate in emergency situation
PI or PID based control system are widely used in control process industries because of their implantation is simple and they assure acceptable performance for industrial processes and their can be tuned manually by industrial operators. However, these controllers provide better performance only at given set of operating range and they need to be redefine if there is change in operating conditions. Further, the conventional controller performance is not up to the expected level for nonlinear and dead time processes. In the present industrial scenario, all the processes require automatic control with good performance over a wide operating range with simple design and implementation. This provides us the motivation for development of Fuzzy logic based process control system which can control process efficiently for all practical operating conditions. The fuzzy logic has been used to control the air pressure in the vessel using matlab as programming platform and the results are compared with that PID control. It has been demonstrated that fuzzy logic based control system is more accurate than the PID control system.