Graham Goodwin – författare

Practical Control System Design This book delivers real world experience covering full-scale industrial control design, for students and professional control engineers Inspired by the authors’ industrial experience in control, Practical Control System Design: Real World Designs Implemented on Emulated Industrial Systems captures that experience, along with the necessary background theory, to enable readers to acquire the tools and skills necessary to tackle real world control engineering design problems. The book draws upon many industrial projects conducted by the authors and associates; these projects are used as case studies throughout the book, organized in the form of Virtual Laboratories so that readers can explore the studies at their own pace and to their own level of interest. The real-world designs include electromechanical servo systems, fluid storage, continuous steel casting, rolling mill center line gauge control, rocket dynamics and control, cross directional control in paper machines, audio quantisation, wind power generation (including 3 phase induction machines), and boiler control. To facilitate reader comprehension, the text is accompanied by software to access the individual experiments. A full Solutions Manual for the questions set in the text is available to instructors and practicing engineers. Background theory covered in the text includes control as an inverse problem, impact of disturbances and measurement noise, sensitivity functions, Laplace transforms, Z-Transforms, shift and delta operators, stability, PID design, time delay systems, periodic disturbances, Bode sensitivity trade-offs, state space models, linear quadratic regulators, Kalman filters, multivariable systems, anti-wind up strategies, Euler angles, rotational dynamics, conservation of mass, momentum and energy as well as control of non-linear systems. Practical Control System Design: Real World Designs Implemented on Emulated Industrial Systems is a highly practical reference on the subject, making it an ideal resource for undergraduate and graduate students on a range of control system design courses. The text also serves as an excellent refresher resource for engineers and practitioners.

This book is based on a workshop entitled.: Model " Identification and Adap­ tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus­ tralia, on December 16, 2000. The workshop was organized in honour of Pro­ fessor Brian (BDO) Anderson in recognition of his seminal contributions to systems science over the past 4 decades. . The chapters in the book have been written by colleagues, friends and stu­ dents of Brian Anderson. A central theme of the book is the inter relationship between identification and the use of models in real world applications. This theme has underpinned much of Brian Anderson's own contributions. The book reflects on these contributions as well as makirig important statements about possible future research directions. The subtitle of the book (From Windsurfing to Telecommunications) rec­ ognizes the fact that many common life experiences, such as those we en­ counter when learning to ride a windsurfer are models for design methods that can be used on real world advanced technological control problems. In­ deed, Brian Anderson extensively explored this link in his research work.

Undoubtably one of the key factors influencing recent technology has been the advent of high speed computational tools. Virtually every advanced engi­ neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Well known examples are digital tele­ phone systems, digital recording of audio signals and computer control. These developments have been matched by the appearance of a plethora of books which explain a variety of analysis, synthesis and design tools applica­ ble to sampled-data systems. The reader might therefore wonder what is distinc­ tive about the current book. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak­ en. The alternative point of view, adopted in this book, is to formulate the analy­ sis in such a way that the user is constantly reminded of the presence of the under­ lying continuous-time signals. We thus give emphasis to two aspects of sampled-data analysis: Firstly, we formulate the various algorithms so that the appropriate contin­ uous-time case is approached as the sampling rate increases. Secondly we place emphasis on the continuous-time output response rath­ er than simply focusing on the sampled response.

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control.- Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control.- New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.