Bio-Inspired Algorithms in PID Controller Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Algorithms in PID Controller Optimization write by Jagatheesan Kallannan. This book was released on 2018-06-12. Bio-Inspired Algorithms in PID Controller Optimization available in PDF, EPUB and Kindle. 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
Bio-Inspired Algorithms in PID Controller Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Algorithms in PID Controller Optimization write by Jagatheesan Kallannan. This book was released on 2018. Bio-Inspired Algorithms in PID Controller Optimization available in PDF, EPUB and Kindle. "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
Bio-Inspired Collaborative Intelligent Control and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Collaborative Intelligent Control and Optimization write by Yongsheng Ding. This book was released on 2017-11-06. Bio-Inspired Collaborative Intelligent Control and Optimization available in PDF, EPUB and Kindle. 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.
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization of PID Controllers Using Ant Colony and Genetic Algorithms write by Muhammet Ünal. This book was released on 2012-09-13. Optimization of PID Controllers Using Ant Colony and Genetic Algorithms available in PDF, EPUB and Kindle. 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
Industrial PID Controller Tuning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Industrial PID Controller Tuning write by José David Rojas. This book was released on 2021-05-22. Industrial PID Controller Tuning available in PDF, EPUB and Kindle. 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.
