Reset Control Systems addresses the analysis for reset control treating both its basic form which requires only that the state of the controller be reinitialized to zero (the reset action) each time the tracking error crosses zero (the reset condition), and some useful variations of the reset action (partial reset with fixed or variable reset percentage) and of the reset condition (fixed or variable reset band and anticipative reset). The issues regarding reset control - concepts and motivation; analysis tools; and the application of design methodologies to real-world examples - are given comprehensive coverage.
The text opens with an historical perspective which moves from the seminal work of the Clegg integrator and Horowitz FORE to more recent approaches based on impulsive/hybrid control systems and explains the motivation for reset compensation. Preliminary material dealing with notation, basic definitions and results, and with the definition of the control problem under study is also included. The focus then turns to stability analysis for systems with and without time-delays using techniques which account for time- and frequency-domain criteria; here the main results range from reset-time-independent to reset-time-dependent for systems without time delay, and from delay-independent to delay-dependent for systems with time delay. The final section of the book is centered on control systems design and application. The PI+CI compensator is detailed as are a proposed frequency domain approach using quantitative feedback theory and ideas for design improvement. Design examples are given and the uses of reset control for temperature control in a heat exchanger, for internet teleoperation and for the control of solar collector fields are described to show the reader the advantages of reset control in practice.
Academic researchers and graduate students working in control systems, especially hybrid and impulsive systems, and industrial practitioners interested in innovative applications of control will find the techniques put forward in Reset Control Systems to be attractive both for their combination of efficacy and simplicity and for the range of real-world systems for which they are relevant.
About the Author: Alfonso Baños was born in Córdoba (Spain) in 1965. He is a graduate and doctor in Physics at Universidad Complutense (Madrid) in 1987 and 1991, respectively. His doctoral work was performed at the Instituto de Automatica Industrial (C.S.I.C), in the area of nonlinear control system. In 1992, he joined the Universidad de Murcia where he is currently Full Professor in Systems and Control Engineering. He is also the leading researcher of research group "Computer and Control Engineering", since 1994. He has been visiting several research groups with pre- and postdoctoral stays, in University of Strathclyde at Glasgow, University of Minnesota at Minneapolis, and University of California at Berkeley. He has led numerous research projects at local, national and european level, and also several technological transfer projects with for example Centro Tecnológico de la Conserva, Centro Tecnológico del Metal, and MTorres Ingeniería de Procesos. He has published over 70 works in journals and international conferences and holds 3 patents.
Antonio Barreiro was born in Vigo (Spain) in 1959. He received the degree of Industrial Engineering (in Electronics and Automatic Control) and the PhD in Industrial Engineering from the Polythecnic University of Madrid (UPM) in 1984 and 1989, respectively. From 1984 to 1987 he was with the Department of Applied Mathematics of the UPM. Since 1987 he has been with the Department of Systems Engineering and Automatic Control of the University of Vigo, where he is now Full Professor in Control Engineering. He has taught numerous undergraduate and postgraduate courses on different topics in Automatic Control, and has supervised five PhD theses. He has lead numerous research projects, and has published over 60 papers in journals and conferences. His research interests include nonlinear stability and control, neural networks, fuzzy systems, Kalman filters, Lyapunov techniques, networked control and time-delay systems, with applications in electromechanical systems, robotics, helicopter control, haptic teleoperation and automotive control.
