| Поиск по каталогу |
|
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Fuzzy logic controller for cooling process in refinery.
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Mohammad Abdulrahman AL-Mashhadani
ISBN: 9783659354458
Год издания: 2013
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 72
Издательство: LAP LAMBERT Academic Publishing
Цена: 30216 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли знаний:Код товара: 119120
| Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
| Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
| Курьерская доставка CDEK из города Москва |
| Доставка Почтой России из города Москва |
Аннотация: Process control is the regulation of designated process parameters to within a specified target range or to a set target value called the set point. Process control is most often used in refineries, because many materials, such as fuel, gasoline and kerosene, must be accurate for a product to be well made. Therefore, to implement a quality product, process control is used to monitor and correct process parameters by analyzing the state of dynamic variables. Dynamic variables are process characteristics, such as temperature, flow, and pressure that vary with time. Through its I/O interfaces, a controller can regulate these dynamic variables to a desired set point, thus implementing process control.
Ключевые слова: fuzzy logic, PID, Control Systems, Process Control, Fuzzy controller
Похожие издания
 | Vijaya Kumar B.,Amrutha P. and Sreenivasan G. Comparative Analysis of FUZZY Logic Controllers with ANFIS.. 2024 г., 60 стр., мягкий переплет The FUZZY and ANFIS controllers are compared for reactive power compensation, DC link voltage and THD of source current. The THD has much better using ANFIS ensuring good operation of shunt active filter thus resulting in improved power quality. The simulation results indicate that the proposed filter, which can minimize the harmonic distortion to... | 30794 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника V. S. Vakula Adaptive Power System Stabilizers. Adaptive Fuzzy Logic Controller With Minimum Rule Base As Power System Stabilizers And Load Frequency Controllers. 2020 г., 228 стр., мягкий переплет I am presenting this novel book on Adaptive Fuzzy Logic Controller with Minimum Rule Base as Power System Stabilizers and Load Frequency Controllers to the professional community with the expectation that it will be given the same wide and enthusiastic acceptance by practicing engineers, R&D professionals, post graduate students and even... | 50500 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Suresh Mikkili and Anup Kumar Panda Shunt Active Filter Control Strategies for Power Quality Improvement. Using PI and Fuzzy Logic controllers. 2012 г., 92 стр., мягкий переплет Instantaneous active and reactive power (p-q) and current (Id-Iq) Control strategies for extracting the three-phase reference currents for shunt active power filters are compared, evaluating their performance under different source voltage conditions with PI and Fuzzy logic Controllers in MATLAB/SIMULINK environment and also implemented using RTDS... | 30926 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Ramya Amirthalingam Speed Control of Switched Reluctance Motor. Using Fuzzy Logic Controller. 2012 г., 72 стр., мягкий переплет The Switched Reluctance Machine (SRM)is the least expensive electrical machine to produce, yet one of the most reliable. As such, research has blossomed during the last decade, and the SRM and variable drive systems using SRMs are receiving considerable attention from industry. However, successful realization of an SRM variable drive system... | 30216 тг |
 | Отрасли экономики: Машиностроение -> Автомобилестроение Anupam Kumar,Vijay Kumar and Manoj Kumar Panda Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control. Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 SIFLC, Interval Type-2 Fuzzy Sliding Mode Controller. 2012 г., 84 стр., мягкий переплет This research work is mainly focused on suspending the steel ball without any mechanical support in desired position and how the Magnetic Levitation System works in presence of disturbance with help of an efficient controller.The tracking performance and robustness is also checked for this system. For tracking, two type of reference trajectory are... | 30642 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование B. Sharmila and K. Srinivasan Fuzzy Logic Controller for Real Time Networked Control System. . 2018 г., 108 стр., мягкий переплет In this book certain approaches for the speed control of a DC motor is developed in a networked environment. The control strategy is to stabilize and track the speed of the DC motor when the network induced delay and packet losses occurs in the transport medium of the network data. A networked control model of the DC motor is established. The PID... | 34613 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Noor Ul Ain Hanif and Syed Abdul Rahman Kashif Design and Control of Multi-Input Converters for Smart Grids. Using Fuzzy Logic Controller. 2016 г., 96 стр., мягкий переплет This book aims at integration of renewable energy sources using a multi-input converter (MIC) in order to meet the future demands of smart grid. For efficiently regulating the voltage at DC bus, dedicated DC-DC converters can be replaced by a MIC which will be the key area of research in this book. Efficacy of multi-port converters will be... | 34186 тг |
 | Отрасли экономики: Промышленность в целом Ziyad Allawi Optimal Fuzzy Controllers for Multi Mobile Robot Navigation. A new method in optimizing Interval Type-2 Fuzzy Logic Controllers using "Optimal Defuzzification". 2015 г., 136 стр., мягкий переплет In this book, a new optimization technique for Interval Type-2 Fuzzy Logic Controller is introduced which is called "Optimal Defuzzification." This method uses an optimization algorithm instead of the Defuzzification stage to choose the best value inside the Type-1 Fuzzy interval set according to an objective function rather than averaging the... | 36136 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Umar Farooq,Jason Gu and Muhammad Usman Asad Control of Underactuated Systems. Linear and Fuzzy Logic Controllers. 2014 г., 112 стр., мягкий переплет Under-actuated systems belong to the class of nonlinear systems that have fewer actuators than the degrees of freedom. The examples include mobile robots, legged robots, air crafts, helicopters and underwater robots. This work comprehensively discusses the design of linear and fuzzy logic controllers for such systems with ball on beam as the test... | 34755 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Ravindra Bhat Performance Analysis of Fuzzy Logic Controller based Control System. Variation of Span of Member Function. 2013 г., 196 стр., мягкий переплет 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... | 43022 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Mohammad Afif,Dirman Hanafi and Nurasyeera Rohaziat Self-Leveling Control of a Wireless ROV. Experimental Approach using Fuzzy Logic Controller. 2013 г., 72 стр., мягкий переплет This book is intended for senior undergraduate or post graduate in electronics and electrical engineering. This book is based on the author research and study experiences. It is aimed to give overview of controlling the leveling motion of underwater vehicle. This book is divided into five chapters. The first chapter which is the introduction... | 23294 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Md. Habibur Rahman Habib,Md. Harun-Or- Rashid and Md.Amirul Islam Rony Fuzzy Logic Controller. Theory,Design & Application in Power System. 2013 г., 132 стр., мягкий переплет 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... | 37632 тг |
 | Отрасли экономики: Машиностроение S. Mahdi Homayouni and S. H. Tang Genetic Fuzzy Controllers for Complex Production Systems. Using Genetic Algorithms to Optimize Fuzzy Logic Controllers. 2013 г., 160 стр., мягкий переплет Improvement in the performance of production control systems is so important that many of past studies were dedicated to this problem. The applicability of fuzzy controllers in production control systems has been shown in literature. Furthermore, genetic algorithm has been used to optimize the FLCs performance. In this study, the GFLC methodology... | 45443 тг |