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Introduction to linear control systems /

Introduction to Linear Control Systems is designed as a standard introduction to linear control systems for all those who one way or another deal with control systems. It can be used as a comprehensive up-to-date textbook for a one-semester 3-credit undergraduate course on linear control systems as...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bavafa-Toosi, Yazdan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2017]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Introduction to Linear Control Systems
  • Copyright Page
  • Dedication
  • Contents
  • Preface
  • Acknowledgments
  • I. Foundations
  • 1 Introduction
  • 1.1 Introduction
  • 1.2 Why control?
  • 1.3 History of control
  • 1.4 Why feedback?
  • 1.5 Magic of feedback
  • 1.6 Physical elements of a control system
  • 1.7 Abstract elements of a control system
  • 1.8 Design process
  • 1.9 Types of control systems
  • 1.10 Open-loop control
  • 1.10.1 Stability and performance
  • 1.10.2 Sensitivity and robustness
  • 1.10.3 Disturbance
  • 1.10.4 Reliability, economics, and linearity
  • 1.11 Closed-loop control
  • 1.11.1 Stability and performance
  • 1.11.2 Sensitivity and robustness
  • 1.11.3 Disturbance and noise
  • 1.11.4 Reliability, economics, and linearity
  • 1.12 The 2-DOF control structure
  • 1.13 The Smith predictor
  • 1.14 Internal model control structure
  • 1.15 Modern representation-Generalized model
  • 1.16 Status quo
  • 1.16.1 Overview
  • 1.16.1.1 Summary
  • 1.16.1.2 The forgotten
  • 1.16.2 Relation with other disciplines
  • 1.16.3 Challenges
  • 1.16.4 Outlook
  • 1.17 Summary
  • 1.18 Notes and further readings
  • 1.19 Worked-out problems
  • 1.20 Exercises
  • References
  • Further Reading
  • 2 System representation
  • 2.1 Introduction
  • 2.2 System modeling
  • 2.2.1 State-space
  • 2.2.1.1 Linearization
  • 2.2.1.2 Number of inputs and outputs
  • 2.2.2 Frequency domain
  • 2.2.2.1 Finding the output
  • 2.2.3 Zero, pole, and minimality
  • 2.3 Basic examples of modeling
  • 2.3.1 Electrical system as the plant
  • 2.3.2 Mechanical system as the plant
  • 2.3.3 Liquid system as the plant
  • 2.3.4 Thermal system as the plant
  • 2.3.5 Hydraulic system as the plant
  • 2.3.6 Chemical system as the plant
  • 2.3.7 Structural system as the plant
  • 2.3.8 Biological system as the plant
  • 2.3.9 Economics system as the plant.
  • 2.3.10 Ecological system as the plant
  • 2.3.11 Societal system as the plant
  • 2.3.12 Physics system as the plant
  • 2.3.13 Delay
  • 2.3.13.1 Exact modeling of delay
  • 2.3.13.2 Approximate modeling of delay
  • 2.3.14 The other constituents
  • 2.3.14.1 Sensors
  • 2.3.14.2 Amplifiers
  • 2.4 Block diagram
  • 2.5 Signal flow graph
  • 2.5.1 Basic terminology of graph theory
  • 2.5.2 Equivalence of BD and SFG methods
  • 2.5.3 Computing the transmittance of an SFG
  • 2.6 Summary
  • 2.7 Notes and further readings
  • 2.8 Worked-out problems
  • 2.9 Exercises
  • References
  • 3 Stability analysis
  • 3.1 Introduction
  • 3.2 Lyapunov and BIBO stability
  • 3.3 Stability tests
  • 3.4 Routh's test
  • 3.4.1 Special cases
  • 3.5 Hurwitz' test
  • 3.6 Lienard and Chipart test
  • 3.7 Relative stability
  • 3.8 D-stability
  • 3.9 Particular relation with control systems design
  • 3.10 The Kharitonov theory
  • 3.11 Internal stability
  • 3.12 Strong stabilization
  • 3.13 Stability of LTV Systems
  • 3.14 Summary
  • 3.15 Notes and further readings
  • 3.16 Worked-out problems
  • 3.17 Exercises
  • References
  • 4 Time response
  • 4.1 Introduction
  • 4.2 System type and system inputs
  • 4.3 Steady-state error
  • 4.4 First-order systems
  • 4.4.1 Impulse input
  • 4.4.2 Step, ramp, and parabolic inputs
  • 4.5 Second-order systems
  • 4.5.1 System representation
  • 4.5.2 Impulse response
  • 4.5.3 Step response
  • 4.5.3.1 Time response characteristics
  • 4.5.4 Ramp and parabola response
  • 4.6 Bandwidth of the system
  • 4.6.1 First-order systems
  • 4.6.2 Second-order systems
  • 4.6.3 Alternative derivation
  • 4.6.4 Higher-order systems
  • 4.6.5 Open-loop and closed-loop systems
  • 4.7 Higher-order systems
  • 4.8 Model reduction
  • 4.9 Effect of addition of pole and zero
  • 4.10 Performance region
  • 4.11 Inverse response
  • 4.12 Analysis of the actual system
  • 4.12.1 Sensor dynamics.
  • 4.12.2 Delay dynamics
  • 4.13 Introduction to robust stabilization and performance
  • 4.13.1 Open-loop control
  • 4.13.2 Closed-loop control
  • 4.13.2.1 Disturbance and noise rejection and setpoint tracking
  • Design for disturbance and noise rejection
  • Design for sinusoidal reference tracking
  • 4.14 Summary
  • 4.15 Notes and further readings
  • 4.16 Worked-out problems
  • 4.17 Exercises
  • References
  • 5 Root locus
  • 5.1 Introduction
  • 5.2 The root locus method
  • 5.3 The root contour
  • 5.4 Finding the value of gain from the root locus
  • 5.5 Controller design implications
  • 5.5.1 Difficult systems
  • 5.5.1.1 System without NMP zeros
  • 5.5.1.2 Systems with NMP zeros
  • 5.5.1.3 Examples of systems without NMP zeros
  • 5.5.1.4 Examples of system with NMP zeros
  • 5.5.2 Simple systems
  • 5.6 Summary
  • 5.7 Notes and further readings
  • 5.8 Worked-out problems
  • 5.9 Exercises
  • References
  • II. Frequency domain analysis & synthesis
  • 6 Nyquist plot
  • 6.1 Introduction
  • 6.2 Nyquist plot
  • 6.2.1 Principle of argument
  • 6.2.2 Nyquist stability criterion
  • 6.2.3 Drawing of the Nyquist plot
  • 6.2.4 The high- and low-frequency ends of the plot
  • 6.2.5 Cusp points of the plot
  • 6.2.6 How to handle the proportional gain/uncertain parameter
  • 6.2.7 The case of j-axis zeros and poles
  • 6.2.8 Relation with root locus
  • 6.3 Gain, phase, and delay margins
  • 6.3.1 The GM concept
  • 6.3.1.1 Definition of GM in the Nyquist plot context
  • 6.3.2 The PM and DM concepts
  • 6.3.3 Stability in terms of the GM and PM signs
  • 6.3.4 The high sensitivity region
  • 6.4 Summary
  • 6.5 Notes and further readings
  • 6.6 Worked-out problems
  • 6.7 Exercises
  • References
  • 7 Bode diagram
  • 7.1 Introduction
  • 7.2 Bode diagram
  • 7.2.1 Logarithm
  • 7.2.2 Decibel
  • 7.2.3 Log magnitude
  • 7.2.4 The magnitude diagram
  • 7.2.5 Octave and decade.
  • 7.2.6 Some useful figures to remember
  • 7.2.7 Relation between the transfer function and its constituting components
  • 7.2.7.1 Gain
  • 7.2.7.2 Zeros at origin
  • 7.2.7.3 Poles at origin
  • 7.2.7.4 Real zeros not at origin
  • 7.2.7.5 Real poles not at origin
  • 7.2.7.6 Error in magnitude
  • 7.2.7.7 Error in phase
  • 7.2.7.8 Double zeros
  • 7.2.7.9 Double poles
  • 7.2.8 How to draw the Bode diagram with hand
  • 7.3 Bode diagram and the steady-state error
  • 7.4 Minimum phase and nonminimum phase systems
  • 7.4.1 NMP zero with positive gain
  • 7.4.2 NMP pole with positive gain
  • 7.4.3 NMP zero with negative gain
  • 7.4.4 NMP pole with negative gain
  • 7.4.5 Determination of NMP systems from the Bode diagram
  • 7.5 Gain, phase, and delay margins
  • 7.6 Stability in the Bode diagram context
  • 7.7 The high sensitivity region
  • 7.8 Relation with Nyquist plot and root locus
  • 7.9 Standard second-order systems
  • 7.10 Bandwidth
  • 7.11 Summary
  • 7.12 Notes and further readings
  • 7.13 Worked-out problems
  • 7.14 Exercises
  • References
  • 8 Krohn-Manger-Nichols chart
  • 8.1 Introduction
  • 8.2 S-Circles
  • 8.3 M-Circles
  • 8.4 N-circles
  • 8.5 M- and N-Contours
  • 8.6 KMN chart
  • 8.7 System features: GM, PM, DM, BW, stability
  • 8.7.1 Gain, phase, and delay margins
  • 8.7.2 Stability
  • 8.7.3 Bandwidth
  • 8.8 The high sensitivity region
  • 8.9 Relation with Bode diagram, Nyquist plot, and root locus
  • 8.10 Summary
  • 8.11 Notes and further readings
  • 8.12 Worked-out problems
  • 8.13 Exercises
  • References
  • 9 Frequency domain synthesis and design
  • 9.1 Introduction
  • 9.2 Basic controllers: proportional, lead, lag, and lead-lag
  • 9.3 Controller simplifications: PI, PD, and PID
  • 9.4 Controller structures in the Nyquist plot context
  • 9.5 Effect of the controllers on the root locus
  • 9.6 Design procedure.
  • 9.7 Specialized design and tuning rules of PID controllers
  • 9.7.1 Heuristic rules
  • 9.7.2 Analytical rules
  • 9.7.2.1 Pole placement method
  • 9.7.2.2 Direct synthesis
  • 9.7.2.3 Skogestad tuning rules
  • 9.7.3 Optimization-based rules
  • 9.8 Internal model control
  • 9.9 The Smith predictor
  • 9.10 Implementation with operational amplifiers
  • 9.10.1 Proportional control-P-term
  • 9.10.2 Integral control-I-term
  • 9.10.3 Proportional-integral-PI-term
  • 9.10.4 Proportional-derivative-PD-term
  • 9.10.5 Nonideal/actual derivative-D-term
  • 9.10.6 Series proportional-integral-derivative-Series PID
  • 9.10.7 Lead
  • 9.10.8 Lag
  • 9.10.9 Lead or lag
  • 9.10.10 Lead-lag
  • 9.11 Summary
  • 9.12 Notes and further readings
  • 9.13 Worked-out problems
  • 9.14 Exercises
  • References
  • III. Advanced Issues
  • 10 Fundamental limitations
  • 10.1 Introduction
  • 10.2 Relation between time and frequency domain specifications
  • 10.3 The ideal transfer function
  • 10.4 Controller design via the TS method
  • 10.5 Interpolation conditions
  • 10.6 Integral and Poisson integral constraints
  • 10.7 Constraints implied by poles and zeros
  • 10.7.1 Implications of open-loop integrators
  • 10.7.2 MP and NMP poles and zeros
  • 10.7.3 Imaginary-axis poles and zeros
  • 10.8 Actuator and sensor limitations
  • 10.8.1 Maximal actuator movement
  • 10.8.2 Minimal actuator movement
  • 10.8.3 Sensor precision
  • 10.8.4 Sensor speed
  • 10.9 Delay
  • 10.10 Eigenstructure assignment by output feedback
  • 10.10.1 Regulation
  • 10.10.2 Tracking
  • 10.11 Noninteractive performance
  • 10.12 Minimal closed-loop pole sensitivity
  • 10.13 Robust stabilization
  • 10.13.1 Structured perturbations
  • 10.13.2 Unstructured perturbations
  • 10.14 Special results for positive systems
  • 10.15 Generic design procedure
  • 10.16 Summary
  • 10.17 Notes and further readings.