Bio Inspired Algorithms In Pid Controller Optimization
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Bio Inspired Algorithms In Pid Controller Optimization
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Author : Jagatheesan Kallannan
language : en
Publisher: CRC Press
Release Date : 2018-06-12
Bio Inspired Algorithms In Pid Controller Optimization written by Jagatheesan Kallannan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Mathematics categories.
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms. Key Features: Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters
Bio Inspired Algorithms In Pid Controller Optimization
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Author : Jagatheesan Kallannan
language : en
Publisher: CRC Press
Release Date : 2018-06-12
Bio Inspired Algorithms In Pid Controller Optimization written by Jagatheesan Kallannan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Mathematics categories.
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms. Key Features: Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters
Bio Inspired Algorithms In Pid Controller Optimization
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Author : Jagatheesan Kallannan
language : en
Publisher:
Release Date : 2018
Bio Inspired Algorithms In Pid Controller Optimization written by Jagatheesan Kallannan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Algorithms categories.
"This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.Key Features:Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithmsProvides some applied applications/examples of the thermal power systemFocusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systemsReports different cases on the interconnected power systems with providing optimal performance by optimizing the controllers parameters"--Provided by publisher.
Bio Inspired Collaborative Intelligent Control And Optimization
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Author : Yongsheng Ding
language : en
Publisher: Springer
Release Date : 2017-11-06
Bio Inspired Collaborative Intelligent Control And Optimization written by Yongsheng Ding and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-06 with Technology & Engineering categories.
This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.
Controller Tuning Optimization Methods For Multi Constraints And Nonlinear Systems
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Author : Maude Josée Blondin
language : en
Publisher: Springer Nature
Release Date : 2021-01-06
Controller Tuning Optimization Methods For Multi Constraints And Nonlinear Systems written by Maude Josée Blondin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-06 with Mathematics categories.
This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with nonlinearities and limitations like the inverted pendulum and the automatic voltage regulator are presented with performance comparisons. Students and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.
Optimization Of Pid Controllers Using Ant Colony And Genetic Algorithms
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Author : Muhammet Ünal
language : en
Publisher: Springer
Release Date : 2012-09-13
Optimization Of Pid Controllers Using Ant Colony And Genetic Algorithms written by Muhammet Ünal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Technology & Engineering categories.
Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.
Industrial Pid Controller Tuning
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Author : José David Rojas
language : en
Publisher: Springer Nature
Release Date : 2021-05-22
Industrial Pid Controller Tuning written by José David Rojas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-22 with Technology & Engineering categories.
Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The book does make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important. The authors review the different deterministic multi-objective optimization methods. In order to ameliorate the consequences of the computational expense typically involved in their use—specifically the generation of multiple solutions among which the control engineer still has to choose—algorithms for two-degree-of-freedom PID control are implemented in MATLAB®. MATLAB code and a MATLAB-compatible program are provided for download and will help readers to adapt the ideas presented in the text for use in their own systems. Further practical guidance is offered by the inclusion of several examples of common industrial processes amenable to the use of the authors’ methods. Researchers interested in non-heuristic approaches to controller tuning or in decision-making after a Pareto set has been established and graduate students interested in beginning a career working with PID control and/or industrial controller tuning will find this book a valuable reference and source of ideas. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Type 2 Fuzzy Logic In Intelligent Control Applications
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Author : Oscar Castillo
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-18
Type 2 Fuzzy Logic In Intelligent Control Applications written by Oscar Castillo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-18 with Computers categories.
We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.
Biologically Inspired Optimization Methods
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Author : Mattias Wahde
language : en
Publisher: WIT Press
Release Date : 2008-08-14
Biologically Inspired Optimization Methods written by Mattias Wahde and has been published by WIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-14 with Mathematics categories.
Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods, along with descriptions of the biological systems upon which the methods are based. The book also covers classical optimization methods, making it possible for the reader to determine whether a classical optimization method or a biologically inspired one is most suitable for a given problem.
Optimization Of Type 2 Fuzzy Controllers Using The Bee Colony Algorithm
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Author : Leticia Amador
language : en
Publisher: Springer
Release Date : 2017-04-27
Optimization Of Type 2 Fuzzy Controllers Using The Bee Colony Algorithm written by Leticia Amador and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-27 with Technology & Engineering categories.
This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.