This book examines mechatronics and automatic control systems. The book covers important emerging topics in signal processing, control theory, sensors, mechanic manufacturing systems and automation. The book presents papers from the 2013 International Conference on Mechatronics and Automatic Control Systems in Hangzhou, held in China during August 10-11, 2013.

A practical methodology for designing integrated automation control for systems and processes Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. Control Of Mechatronic Systems: Model-Driven Design And Implementation Guidelines unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems. Presents a novel approach to the integration of discrete-time and discrete-event systems within mechatronic systems and industrial processes Offers user-friendly self-study units, with worked examples and numerous real-world exercises in each chapter Covers a range of engineering disciplines and applies to small- and large-scale systems, for broad appeal in research and practice Provides a firm theoretical foundation allowing readers to comprehend the underlying technologies of mechatronic systems and processes Control Of Mechatronic Systems is an important text for advanced students and professionals of all levels engaged in a broad range of engineering disciplines.

Engineering technology development and implementation play an important role in making the industry more sustainable in an increasingly competitive world. This book covers significant recent developments in both fundamental and applied research in the engineering field. Domains of application include, but are not limited to, Intelligent Control Systems and Optimization, Signal Processing, Sensors, Systems Modeling and Control, Robotics and Automation, Industrial and Electric Engineering, Production and Management. This book is an excellent reference work to get up to date with the latest research and developments in the fields of Automation, Mechatronics and Industrial Engineering. It aims to provide a platform for researchers and professionals in all relevant fields to gain new ideas and establish great achievements in scientific development.

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19, 2018, Lviv, Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control, optimization and game theory; control and identification under uncertainty; automated control of technical, technological and biotechnical objects; controlling the aerospace craft, marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts, the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems, motion control in condition of conflict, inverse dynamic models, invariant relations in optimal control, robust adaptive control, bio-inspired algorithms, optimization of fuzzy control systems, and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems, in particular, special cases in determining the spacecraft position and attitude using computer vision system, the spacecraft orientation by information from a system of stellar sensors, control synthesis of rotational and spatial spacecraft motion at approaching stage of docking, intelligent algorithms for the automation of complex biotechnical objects, an automatic control system for the slow pyrolysis of organic substances with variable composition, simulation complex of hierarchical systems based on the foresight and cognitive modelling, and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems.

This book introduces researchers and advanced students with a basic control systems background to an array of control techniques which they can easily implement and use to meet the required performance specifications for their mechatronic applications. It is the result of close to two decades of work of the authors on modeling, simulating and controlling different mechatronic systems from the motion control, automotive control and micro and nano-mechanical systems control areas. The methods presented in the book have all been tested by the authors and a very large group of researchers, who have produced practically implementable controllers with highly successful results.

Real-world applications--Integrates real-world analysis and design applications throughout the text. Examples include: the sun-seeker system, the liquid-level control, dc-motor control, and space-vehicle payload control. * Examples and problems--Includes an abundance of illustrative examples and problems. * Marginal notes throughout the text highlight important points.

Stresses the theory & application of control systems with a focus on conventional analysis & design methods, state variable methods, & digital control systems.

The 2016 International Conference on Mechatronics and Automation Engineering (ICMAE2016) have been successfully held in Xiamen, China, on April 22nd - 24th.The conference received well over more than 200 submissions, however, only 64 articles were selected and recommended to be included in this proceedings, which organized into 4 main areas, namely, Industrial Automation and Control System, Intelligent Mechatronics and Robotics, Mechanical Engineering and Electrical Engineering and Computer Science.The conference provides the opportunity to showcase state of art research and development in Mechatronics and Automation Engineering from researchers and developers from around the world under one roof to compare notes and establish collaborative relationships.

Production processes and engineered systems use continuous and discrete variables, as well as the combination of continuous and sequential operations. This volume covers both aspects, thus providing knowledge in continuous and discrete control, logic control, and hybrid control systems. It is a compilation of selected control strategies to automate processes and systems with a practical approach to ease their design, analysis and implementation. The selection of the control schemes is based on the capability to provide desired dynamical response or real time performance. Practicality is required for achieving faster development times of automation projects or system prototypes by comprehensive presentation and direct application of methodologies and techniques for efficient and structured programming of control algorithms. Considered methodologies include model-based design, hardware in the loop simulations and structured programming. Fundamental signals and systems concepts are explained. Systems and controllers are analyzed using discrete-time equations, which ease their implementation in most programmable platforms without requiring sophisticated software. PID based control, internal model control and model reference control are viewed as powerful schemes in terms of performance and suitability for mechatronics systems because of the use of the model in their architecture as a key control element. Finite state machines are presented to solve sequential requirements of direct and supervisory control of many processes and machines. Cyberphysical systems are an industrial technology and an education trend, distinguished by visual and dynamic models or digital twins of the physical systems. The discussed analysis, design and implementation practices are integrated and applied in the context of cyberphysical systems. This book aims to provide multidisciplinary support to engineers and practitioners in the design of control systems, and is a valuable tool for automation teaching and self-learning.

Mechatronics is a multidisciplinary branch of engineering combining mechanical, electrical and electronics, control and automation, and computer engineering fields. The main research task of mechatronics is design, control, and optimization of advanced devices, products, and hybrid systems utilizing the concepts found in all these fields. The purpose of this special issue is to help better understand how mechatronics will impact on the practice and research of developing advanced techniques to model, control, and optimize complex systems. The special issue presents recent advances in mechatronics and related technologies. The selected topics give an overview of the state of the art and present new research results and prospects for the future development of the interdisciplinary field of mechatronic systems.