Intelligent Control in Drying PDF Download
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Author: Alex Martynenko
Publisher: CRC Press
ISBN: 0429811322
Category : Science
Languages : en
Pages : 454
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Book Description
Despite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying. This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and professionals in the field of drying technologies, providing an overview of control principles and systems used in drying operations, from classical to model-based to adaptive and optimal control. At the same time, it lays out approaches to synthesis of control systems, based on the objectives and control strategies, reflecting complexity of drying process and material under drying. This essential reference covers both fundamental and practical aspects of intelligent control, sensor fusion and dynamic optimization with respect to drying.
Author: Alex Martynenko
Publisher: CRC Press
ISBN: 0429811322
Category : Science
Languages : en
Pages : 454
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Book Description
Despite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying. This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and professionals in the field of drying technologies, providing an overview of control principles and systems used in drying operations, from classical to model-based to adaptive and optimal control. At the same time, it lays out approaches to synthesis of control systems, based on the objectives and control strategies, reflecting complexity of drying process and material under drying. This essential reference covers both fundamental and practical aspects of intelligent control, sensor fusion and dynamic optimization with respect to drying.
Author: Hong Ma
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The main objectives of this thesis are to develop a system model and an intelligent controller for the meat drying process, which can provide better control accuracy than the proportional-integral-derivative (PID) control system. In a meat drying room, important environment variables of temperature and relative humidity are coupled by a nonlinear relationship. Therefore, the design of a nonlinear, intelligent controller is required. The meat drying room system model encompasses both the plant model and the coupling model between temperature and relative humidity. The proposed intelligent controller uses a fuzzy PID control method and a PI-like fuzzy logic control method to limit the fluctuations in the meat drying system. Results show that the performances of the proposed fuzzy PID and PI-like fuzzy control systems are superior in terms of relative humidity control accuracy.
Author: Omar F. Lutfy
Publisher: LAP Lambert Academic Publishing
ISBN: 9783846584941
Category :
Languages : en
Pages : 244
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Book Description
The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process.
Author: Arun S. Mujumdar
Publisher: CRC Press
ISBN: 146659666X
Category : Science
Languages : en
Pages : 1334
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Book Description
This Fourth Edition book includes 12 new chapters covering computational fluid dynamic simulation; solar, impingement, and pulse combustion drying; drying of fruits, vegetables, sugar, biomass, and coal; physicochemical aspects of sludge drying; and life-cycle assessment of drying systems. Addressing commonly encountered dryers as well as innovative dryers with future potential, the fully revised text not only delivers a comprehensive treatment of the current state of the art, but also serves as a consultative reference for streamlining industrial drying operations to increase energy efficiency and cost-effectiveness.
Author: Yiu H. Hui
Publisher: DEStech Publications, Inc
ISBN: 1932078568
Category : Business & Economics
Languages : en
Pages : 809
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Book Description
A guide to the major food drying techniques and equipment. It features technologies for meats, fruits, vegetables, and seafood. It covers microbial issues and safety. It includes designs for drying systems and manufacturing lines, and information on microbial safety, preservation, and packaging.
Author: Daniel H. de la Iglesia
Publisher: Springer Nature
ISBN: 3031666356
Category :
Languages : en
Pages : 486
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Book Description
Author: A. S. Mujumdar
Publisher: CRC Press
ISBN: 9780824796440
Category : Science
Languages : en
Pages : 710
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Book Description
Drying of pharmaceutical products, drying of biotechnologicl products, drying of peat and biofuels, druing of fibrous materials, drying ofpulp and paper, of wood and wood products, drying in mineral proces sing, modeling, measurements, and efficeiencies of infrared eryers for paper drying, drying of coal, drying of coated webs, drying of polymersupeheated stema drying, dryer feeder systems, dryer emision control systems, cost estimation methods for dryers, energy aspects in drying safeth aspects of industrial dryers, humidity measurements, control of industrial dryers.
Author: Yongxuan Lai
Publisher: Springer Nature
ISBN: 3030953882
Category : Computers
Languages : en
Pages : 757
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Book Description
The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.
Author: C. Chen
Publisher: IOS Press
ISBN: 164368485X
Category : Computers
Languages : en
Pages : 1158
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Book Description
Artificial Intelligence (AI) is rapidly becoming an inescapable part of modern life, and the fact that AI technologies and applications will inevitably bring about significant changes in many industries and economies worldwide means that this field of research is currently attracting great interest. This book presents the proceedings of ICAITA 2023, the 5th International Conference on Artificial Intelligence Technologies and Applications, held as a hybrid event from 30 June to 2 July 2023 in Changchun, China. The conference provided an international forum for academic communication between experts and scholars in the field of AI, promoting the interchange of scientific information between participants and establishing connections which may lead to collaboration, research, and development activities in related fields. The 126 papers included here were selected following a thorough review process and are divided into 4 sections, covering AI simulation and mechatronics; intelligent network architecture and system monitoring; intelligent algorithm modeling and numerical analysis; and intelligent graph recognition and information processing. Topics addressed include artificial neural networks, computational theories of learning, intelligent system architectures, pervasive computing and ambient intelligence, and fuzzy logic and methods. Covering a wide range of topics and applications current in AI research, the book will be of interest to all those working in the field.
Author: Goncalo Marques
Publisher: Academic Press
ISBN: 0323855989
Category : Computers
Languages : en
Pages : 475
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Book Description
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering
