Controller Tuning with Evolutionary Multiobjective Optimization
Controller Tuning with Evolutionary Multiobjective Optimization

Author: Gilberto Reynoso Meza

Publisher: Springer

Published: 2016-11-04

Total Pages: 228

ISBN-13: 3319413015

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This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.

Industrial PID Controller Tuning
Industrial PID Controller Tuning

Author: José David Rojas

Publisher: Springer Nature

Published: 2021-05-22

Total Pages: 158

ISBN-13: 3030723119

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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.

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems
Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

Author: Maude Josée Blondin

Publisher: Springer Nature

Published: 2021-01-06

Total Pages: 107

ISBN-13: 303064541X

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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.

Computational Intelligence and Optimization Methods for Control Engineering
Computational Intelligence and Optimization Methods for Control Engineering

Author: Maude Josée Blondin

Publisher: Springer Nature

Published: 2019-09-20

Total Pages: 355

ISBN-13: 3030254461

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This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.

Technological Transformation: A New Role For Human, Machines And Management
Technological Transformation: A New Role For Human, Machines And Management

Author: Hanno Schaumburg

Publisher: Springer Nature

Published: 2020-12-10

Total Pages: 264

ISBN-13: 3030644308

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This proceedings book contains 21 articles that arouse the greatest interest among experts from academia, industry and scientific experts in the area of the structural transformation of industrial and economic systems on a new technological base. V Scientific International Conference «Technological Transformation: A New Role for Human, Machines and Management (TT-2020)» was held on 16–18 September 2020 in St. Petersburg at the Peter the Great St. Petersburg Polytechnic University. The conference aimed to discuss the results of system studies on the key drivers and consequences of wide digitalization in various sectors of the economy and industry, as well as in the service sector. Topics were presented: New industrial base, Virtual engineering, Diffusion of technology, Digital infrastructure, Supercomputers, Cyberphysical interface and Informatics of cognitive processes, Convergence, harmonization and integration of artificial and natural intelligence, Changing social and economic landscape and new management systems, Digital technologies in logistics, Cyberphysical systems and artificial intelligence.

Robust Control Systems with Genetic Algorithms
Robust Control Systems with Genetic Algorithms

Author: Mo Jamshidi

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 232

ISBN-13: 1420058347

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In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study. The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.

Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing
Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing

Author: Karabegovi?, Isak

Publisher: IGI Global

Published: 2020-03-27

Total Pages: 661

ISBN-13: 1799827267

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In Industry 4.0, industrial productions are adjusted to complete smart automation, which means introducing self-automation methods, self-configuration, self-diagnosis of problems and removal, cognition, and intelligent decision making. This implementation of Industry 4.0 brings about a change in business paradigms and production models, and this will be reflected at all levels of the production process including supply chains and will involve all workers in the production process from managers to cyber-physical systems designers and customers as end-users. The Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing is an essential reference source that explores the development and integration of Industry 4.0 by examining changes and innovations to manufacturing processes as well as its applications in different industrial areas. Featuring coverage on a wide range of topics such as cyber physical systems, integration criteria, and artificial intelligence, this book is ideally designed for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students at the postgraduate level.

Robot Intelligence Technology and Applications
Robot Intelligence Technology and Applications

Author: Jong-Hwan Kim

Publisher: Springer

Published: 2019-04-12

Total Pages: 245

ISBN-13: 9811377804

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This book constitutes revised selected papers from the 6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018, held in Putrajaya, Malaysia, in December 2018. The 20 full papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers present studies on machine learning; optimization; modelling and simulation; path planning; neural networks; landmark recognition; and reinforcement learning.