PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink / IEEE Series on Power Engineering (ePub)
(Sprache: Englisch)
A timely introduction to current research on PID and
predictive control by one of the leading authors on the
subject
PID and Predictive Control of Electric Drives and Power
Supplies using MATLAB/Simulink examines the classical control
system...
predictive control by one of the leading authors on the
subject
PID and Predictive Control of Electric Drives and Power
Supplies using MATLAB/Simulink examines the classical control
system...
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Produktinformationen zu „PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink / IEEE Series on Power Engineering (ePub)“
A timely introduction to current research on PID and
predictive control by one of the leading authors on the
subject
PID and Predictive Control of Electric Drives and Power
Supplies using MATLAB/Simulink examines the classical control
system strategies, such as PID control, feed-forward control and
cascade control, which are widely used in current practice.
The authors share their experiences in actual design and
implementation of the control systems on laboratory test-beds,
taking the reader from the fundamentals through to more
sophisticated design and analysis. The book
contains sections on closed-loop performance analysis in both
frequency domain and time domain, presented to help the designer in
selection of controller parameters and validation of the control
system. Continuous-time model predictive control systems are
designed for the drives and power supplies, and operational
constraints are imposed in the design.
Discrete-time model predictive control systems are designed based
on the discretization of the physical models, which will appeal to
readers who are more familiar with sampled-data control system.
Soft sensors and observers will be discussed for low cost
implementation. Resonant control of the electric drives and
power supply will be discussed to deal with the problems of bias in
sensors and unbalanced three phase AC currents.
* Brings together both classical control systems and predictive
control systems in a logical style from introductory through to
advanced levels
* Demonstrates how simulation and experimental results are used
to support theoretical analysis and the proposed design
algorithms
* MATLAB and Simulink tutorials are given in each chapter to show
the readers how to take the theory to applications.
* Includes MATLAB and Simulink software using xPC Target for
teaching purposes
* A companion website is available
Researchers and industrial engineers; and graduate students on
electrical engineering courses will find this a valuable
resource.
predictive control by one of the leading authors on the
subject
PID and Predictive Control of Electric Drives and Power
Supplies using MATLAB/Simulink examines the classical control
system strategies, such as PID control, feed-forward control and
cascade control, which are widely used in current practice.
The authors share their experiences in actual design and
implementation of the control systems on laboratory test-beds,
taking the reader from the fundamentals through to more
sophisticated design and analysis. The book
contains sections on closed-loop performance analysis in both
frequency domain and time domain, presented to help the designer in
selection of controller parameters and validation of the control
system. Continuous-time model predictive control systems are
designed for the drives and power supplies, and operational
constraints are imposed in the design.
Discrete-time model predictive control systems are designed based
on the discretization of the physical models, which will appeal to
readers who are more familiar with sampled-data control system.
Soft sensors and observers will be discussed for low cost
implementation. Resonant control of the electric drives and
power supply will be discussed to deal with the problems of bias in
sensors and unbalanced three phase AC currents.
* Brings together both classical control systems and predictive
control systems in a logical style from introductory through to
advanced levels
* Demonstrates how simulation and experimental results are used
to support theoretical analysis and the proposed design
algorithms
* MATLAB and Simulink tutorials are given in each chapter to show
the readers how to take the theory to applications.
* Includes MATLAB and Simulink software using xPC Target for
teaching purposes
* A companion website is available
Researchers and industrial engineers; and graduate students on
electrical engineering courses will find this a valuable
resource.
Autoren-Porträt von Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, Ki Ng
Liuping Wang is Professor of Control Engineering at RMIT University, Melbourne, Australia. She has been working on PID control systems and system identification for over 20 years and, together with her research group, Professor Wang has generated the research outcomes that have significantly improved the performance of computer numerical control (CNC) machines, leading to a new understanding of electric motor control and regenerative power supplies. She has published numerous articles on the subject.Shan Chai, Dae Yoo, Lu Gan and Ki Ng are PhD students working under the supervision of Professor Wang and are part of the research team that has produced, and is producing, new approaches and new understanding of the electrical motor control and the control of regenerative power supplies.
Bibliographische Angaben
- Autoren: Liuping Wang , Shan Chai , Dae Yoo , Lu Gan , Ki Ng
- 2014, 1. Auflage, 360 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118339479
- ISBN-13: 9781118339473
- Erscheinungsdatum: 17.12.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 45 MB
- Mit Kopierschutz
Sprache:
Englisch
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