Antonio Visioli – författare

Digital controllers are part of nearly all modern personal, industrial, and transportation systems. Every senior or graduate student of electrical, chemical, or mechanical engineering should therefore be familiar with the basic theory of digital controllers. This new text covers the fundamental principles and applications of digital control engineering, with emphasis on engineering design.Fadali and Visioli cover analysis and design of digitally controlled systems and describe applications of digital control in a wide range of fields. With worked examples and Matlab applications in every chapter and many end-of-chapter assignments, this text provides both theory and practice for those coming to digital control engineering for the first time, whether as a student or practicing engineer.

This new edition covers new topics such as Model Predictive Control and Linear Matrix Inequalities. To engage students, it has more illustrations and simple examples; the mathematical notation is reducedwhere possible, and it also includes intermediate mathematical steps in derivations. Companion website features resources for instructors, including Powerpoint slides and solutions. Extensive use of CAD Packages: Matlab and Simulink sections at the end of each chapter show how toimplement concepts from the chapter. Contains review material to aid understanding of digital control analysis and design. Includes some advanced material to make it suitable for an introductory graduate level class or for twoquarters at the senior/graduate level. The mathematics background required for understanding most of the book is based on what can bereasonably expected from the average electrical, chemical, or mechanical engineering senior.

Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics: How to tune a PID controller and assess its performance; How to design a two-degree-of-freedom control scheme in order to deal with both the set-point following and load disturbance rejection tasks; How to modify the basic Smith predictor control scheme in order to cope with the presence of an integrator in the process; and how to address the presence of large process dead times.The methods are presented sequentially, highlighting the evolution of their rationale and implementation and thus clearly characterising them from both academic and industrial perspectives.

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions.

Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics: How to tune a PID controller and assess its performance; How to design a two-degree-of-freedom control scheme in order to deal with both the set-point following and load disturbance rejection tasks; How to modify the basic Smith predictor control scheme in order to cope with the presence of an integrator in the process; and how to address the presence of large process dead times.The methods are presented sequentially, highlighting the evolution of their rationale and implementation and thus clearly characterising them from both academic and industrial perspectives.

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions.

Proportional–integral–derivative (PID) controllers are the most adopted controllers in industrial settings. The availability of microprocessors and software tools and increasing demand for higher product quality at reduced cost have stimulated research to devise new methodologies to improve their performance and ease of use."Practical PID Control" focuses on those functionalities that can provide significant improvements in PID performance in combination with parameter tuning. In particular, the choice of filter to make the controller proper, the use of a feedforward action and the selection of an anti-windup strategy are addressed. The choices of identification algorithm and model reduction technique are analysed in the context of model-based PID control. Widely adopted PID-based control architectures (ratio and cascade control) and performance assessment are also covered. Simulation and experimental results are provided better to illustrate the different methodologies and to discuss their pros and cons.

This book focuses on those functionalities that can provide significant improvements in Proportional--integral--derivative (PID) performance in combination with parameter tuning. In particular, the choice of filter to make the controller proper, the use of a feedforward action and the selection of an anti-windup strategy are addressed. The book gives the reader new methods for improving the performance of the most widely applied form of control in industry.

This monograph presents design methodologies for (robust) fractional control systems. It shows the reader how to take advantage of the superior flexibility of fractional control systems compared with integer-order systems in achieving more challenging control requirements. There is a high degree of current interest in fractional systems and fractional control arising from both academia and industry and readers from both milieux are catered to in the text. Different design approaches having in common a trade-off between robustness and performance of the control system are considered explicitly. The text generalizes methodologies, techniques and theoretical results that have been successfully applied in classical (integer) control to the fractional case.The first part of Advances in Robust Fractional Control is the more industrially oriented. It focuses on the design of fractional controllers for integer processes. In particular, it considers fractional-order proportional-integral-derivative controllers, because integer-order PID regulators are, undoubtedly, the controllers most frequently adopted in industry.The second part of the book deals with a more general approach to fractional control systems, extending techniques (such as H-infinity optimal control and optimal input‒output inversion based control) originally devised for classical integer-order control.Advances in Robust Fractional Control will be a useful reference for the large number of academic researchers in fractional control, for their industrial counterparts and for graduate students who want to learn more about this subject.