Linear Feedback Controls The Essentials 2nd edition by Mark Haidekker – Ebook PDF Instant Download/Delivery: 0128188125 , 9780128188125
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ISBN 10: 0128188125
ISBN 13: 9780128188125
Author: Mark Haidekker
Control systems are one of the most important engineering fields, and recent advances in microelectonics and microelectromechanical systems have made feedback controls ubiquitous – a simple cell phone, for example, can have dozens of feedback control systems. Recent research focuses on advanced controls, such as nonlinear systems, adaptive controls, or controls based on computer learning and artificial intelligence. Conversely, classical (linear) control theory is well established; yet, it provides the crucial foundation not only for advanced control topics, but also for the many everyday control systems ranging from cell phone backlight control to self-balancing hoverboard scooters. Linear Feedback Controls provides a comprehensive, yet compact introduction to classical control theory. The present Second Edition has been expanded to include important topics, such as state-space models and control robustness. Moreover, aspects of the practical realization have been significantly expanded with complete design examples and with typical building blocks for control systems.
The book is ideal for upper level students in electrical and mechanical engineering, for whom a course in Feedback Controls is usually required. Moreover, students in bioengineering, chemical engineering, and agricultural and environmental engineering can benefit from the introductory character and the practical examples, and the book provides an introduction or helpful refresher for graduate students and professionals.
- Focuses on the essentials of control fundamentals, system analysis, mathematical description and modeling, and control design to guide the reader
- Illustrates how control theory is linked to design of control systems and their performance by introducing theoretical elements as tools in a designer’s toolbox
- Guides the reader through the different analysis and design tools with strands of examples that weave throughout the book
- Highlights both the design process and typical applications by presenting detailed practical examples and their realization and performance, complete with circuit diagrams and measured performance data
Linear Feedback Controls The Essentials 2nd Table of contents:
1: Introduction to linear feedback controls
Abstract
1.1. What are feedback control systems?
1.2. Some terminology
1.3. Design of feedback control systems
1.4. Two-point control
2: Systems and signals
Abstract
2.1. Example first-order system: the RC lowpass
2.2. Example second-order system: the spring-mass-damper system
2.3. Obtaining the system response from a step input
2.4. Systems and signals in Scilab
3: Solving differential equations in the Laplace domain
Abstract
3.1. The Laplace transform
3.2. Fourier series and the Fourier transform
3.3. Representation of the RC lowpass and spring-mass-damper systems in the Laplace domain
3.4. Transient and steady-state response
3.5. Partial fraction expansion
4: Time-discrete systems
Abstract
4.1. Analog-to-digital conversion and the zero-order hold
4.2. The z-transform
4.3. The relationship between Laplace- and z-domains
4.4. The w-transform
5: First comprehensive example: the temperature-controlled waterbath
Abstract
5.1. Mathematical model of the process
5.2. Determination of the system coefficients
5.3. Laplace-domain model
5.4. Introducing feedback control
5.5. Comparison of the open-loop and closed-loop systems
5.6. Using a PI-controller
5.7. Time-discrete control
5.8. Time-discrete control with the bilinear transform
6: A tale of two poles: the positioner example and the significance of the poles in the s-plane
Abstract
6.1. A head-positioning system
6.2. Introducing feedback control
6.3. Dynamic response of the closed-loop system
6.4. Feedback control with a time-discrete controller
6.5. Dynamic response performance metrics
6.6. Time-integrated performance metrics
6.7. The dynamic response of higher-order systems
7: State-space models
Abstract
7.1. General equations for state-space models
7.2. Feedback control systems in state-space form
7.3. Reachability and observability
7.4. State-space feedback control with observers
7.5. State-space models in Scilab
8: Block diagrams: formal graphical description of linear systems
Abstract
8.1. Symbols of block diagrams and signal flow graphs
8.2. Block diagram manipulation
8.3. Block diagram simplification examples
9: Linearization of nonlinear components
Abstract
9.1. Linearization of components with analytical description
9.2. Linearization of components with multiple input variables
9.3. Linearization of tabular data
9.4. Linearization of components with graphical data
9.5. Saturation effects
10: Stability analysis for linear systems
Abstract
10.1. The Routh–Hurwitz scheme
10.2. Routh arrays for low-order systems
10.3. Stability of time-discrete systems with the w-transform
10.4. The Jury test
10.5. Jury arrays for low-order systems
10.6. Example applications
11: The root locus method
Abstract
11.1. Graphical construction of root locus plots
11.2. Root-locus diagrams in Scilab
11.3. Design example: positioner with PI control
11.4. Design example: resonance reduction
11.5. The root locus method for time-discrete systems
12: Frequency-domain analysis and design methods
Abstract
12.1. Frequency response of LTI systems
12.2. Frequency response and stability
12.3. Bode plots
12.4. Definition of phase and gain margin
12.5. Construction of Bode diagrams
12.6. Frequency response of a second-order system
12.7. Frequency response of digital filters
12.8. The Nyquist stability criterion
12.9. The Nyquist stability criterion for time-discrete systems
12.10. Nyquist stability in Scilab
13: Robustness of feedback control systems
Abstract
13.1. System sensitivity
13.2. Pole sensitivity
13.3. The role of the sensor
13.4. Robustness of digital control systems
14: Building blocks of linear systems
Abstract
14.1. Brief introduction to operational amplifiers
14.2. Building blocks for time-continuous systems
14.3. A sample digital control system with microcontroller
14.4. Building blocks for time-discrete systems and digital controllers
15: The PID controller
Abstract
15.1. Intuitive explanation
15.2. Transfer functions with PID control
15.3. Frequency-domain aspects of PID control
15.4. Time-discrete PID controllers
15.5. PID controller tuning
15.6. Integral windup
15.7. PID control of nonlinear processes
15.8. Conclusion
16: Design of feedback controls
Abstract
16.1. Definition of the control goals
16.2. Analysis of the process or plant
16.3. Choice and design of the sensors
16.4. Design of the controller
16.5. Testing and validation
17: Application and design examples
Abstract
17.1. Precision temperature control
17.2. Fast-tracking temperature control
17.3. Start-to-end design example: personal climate control
17.4. Motor speed and position control
17.5. Resonant sine oscillator
17.6. Low-distortion (Hi-Fi) amplifiers with feedback
17.7. Phase-locked loop systems
17.8. Start-to-end design example: 60Hz phase-locked loop for a model solar inverter
17.9. Stabilizing an unstable system
17.10. Start-to-end design example: inverted pendulum
A: Laplace correspondence tables
B: Z-transform correspondence tables
C: Relevant Scilab commands
References and further reading
References and further reading
Index
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Tags: Mark Haidekker, Linear Feedback, The Essentials