Design of feedback control systems by stefani 4th edition

Root Locus Properties 4. Root Locus Construction 4. More About Root Locus 4. Root Locus Calibration 4. Computer-Aided Root Locus 4. Root Locus for Other Systems 4. Systems with Other Forms 4. Negative Parameter Ranges 4. Delay Effects 4. Design Concepts Adding Poles and Zeros 4. A Light-Source Tracking System 4. An Artificial Limb 4. Control of a Flexible Spacecraft 4. Bionic Eye 4. Summary References Problems Chapter 5. Root Locus Design 5. Preview 5.

Shaping a Root Locus 5. Adding and Canceling Poles and Zeros 5. Adding a Pole or Zero 5. Canceling a Pole or Zero 5. Second-Order Plant Models 5. An Uncompensated Example System 5.

General Approach to Compensator Design 5. Cascade PI Compensation 5. Cascade Lag Compensation 5. Cascade Lead Compensation 5. Cascade Lag-Lead Compensation 5. Rate Feedback Compensation PD 5. Proportional-Integral-Derivative Compensation 5.

Pole Placement 5. Algebraic Compensation 5. Selecting the Transfer Function 5. Incorrect Plant Transmittance 5. Robust Algebraic Compensation 5. Fixed-Structure Compensation 5. An Unstable High-Performance Aircraft 5. Control of a Flexible Space Station 5. Control of a Solar Furnace 5. Summary References Problems Chapter 6.

Frequency Response Analysis 6. Preview 6. Frequency Response 6. Forced Sinusoidal Response 6. Frequency Response Measurement 6. Response at Low and High Frequencies 6. Graphical Frequency Response Methods 6. Bode Plots 6. Amplitude Plots in Decibels 6. Real Axis Roots 6. Products of Transmittance Terms 6. Complex Roots 6. Using Experimental Data 6. Finding Models 6. Irrational Transmittances 6. Nyquist Methods 6.

Generating the Nyquist Polar Plot 6. Interpreting the Nyquist Plot 6. Gain Margin 6. Phase Margin 6. Frequency Response of a Flexible Spacecraft 6. Summary References Problems Chapter 7. Frequency Response Design 7. Preview 7. Compensation Using Bode Plots 7.

Uncompensated System 7. Cascade Lead Compensation 7. Cascade Lag-Lead Compensation 7. Rate Feedback Compensation 7.

Proportional-Integral-Derivative Compensation 7. An Automobile Driver as a Compensator 7. Summary References Problems Chapter 8.

State Space Analysis 8. Preview 8. State Space Representation 8. Phase-Variable Form 8. Dual Phase-Variable Form 8.

Multiple Inputs and Outputs 8. Physical State Variables 8. Transfer Functions 8. State Transformations and Diagonalization 8. Diagonal Forms 8. Diagonalization Using Partial-Fraction Expansion 8. Complex Conjugate Characteristic Roots 8. Repeated Characteristic Roots 8. Time Response from State Equations 8. Laplace Transform Solution 8. System Response Computation 8.

Stability 8. Asymptotic Stability 8. BIBO Stability 8. Internal Stability 8. Controllability and Observability 8. The Controllability Matrix 8. The Observability Matrix 8. Controllability, Observability and Pole-Zero Cancellation 8. Causes of Uncontrollability 8. Inverted Pendulum Problems 8. Summary Chapter 9. State Space Design 9. Preview 9. State Feedback and Pole Placement 9. Stabilizability 9.

Choosing Pole Locations 9. Limitations of State Feedback 9. Tracking Problems 9. Integral Control 9. Observer Design 9. Control Using Observers 9. Separation Property 9. Observer Transfer Function 9. Reduced-Order Observer Design 9. Reduced-Order Observer Transfer Function 9. A Magnetic Levitation System 9.

Summary Chapter Advanced State Space Methods Preview The Linear Quadratic Regulator Problem Properties of the LQR Design Return Difference Inequality Optimal Root Locus Optimal Observers--The Kalman Filter Critique of LGQ Robustness Feedback Properties Uncertainty Modeling Robust Stability A Brief History Some Preliminaries Summary References Problems Chapter Digital Control Computer Processing Computer History and Trends Analog-to-Digital Conversion Sample and Hold Digital-to-Analog Conversion Discrete-Time Signals Representing Sequences Z-Transformation and Properties Inverse z-Transform Sampling Reconstruction of Signals from Samples Representing Sampled Signals with Impulses Relation between the z-Transform and the Laplace Transform The Sampling Theorem Discrete-Time Systems Difference Equations Response Control theory deals with the control of dynamical systems in engineered processes and machines.

The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a desired state, while minimizing any delay , overshoot , or steady-state error and ensuring a level of control stability ; often with the aim to achieve a degree of optimality.

To do this, a controller with the requisite corrective behavior is required. This all-in-one-package includes more than fully solved problems, examples, and practice exercises to sharpen your problem-solving skills.

Each Outline presents all the essentialcourse information in an easy-to-follow, topic-by-topicformat. You also get hundreds of examples, solved problems, and practice exercises to test your skills. The reason is the electronic devices divert your attention and also cause strains while reading eBooks.

Preface 1. Introduction 2. Control Systems Terminology 3. In this chapter we introduce modern control theory by two approaches. First, a short history of automatic control theory is provided. Then, we describe the philosophies of classical and modern control theory.

Feedback control is the basic mechanism by which systems, whether mechanical, electrical, or biological, maintain their equilibrium or homeostasis. In the higher life forms, the conditions under which life can continue are quite narrow. A change in body temperature of half a degree is generally a sign of illness. The homeostasis of the body is maintained through the use of feedback control [Wiener ].

Many basic devices must be manufactured in such a way that their behaviour can be modified by means of some external control. Generally, the same effect cannot be brought about in practice and sometimes even in theory by any intrinsic modification of the…. Roman engineers maintained water levels for their aqueduct system by means of floating valves that opened and closed at appropriate levels.

The Dutch windmill of…. Feedback controls are widely used in modern automated systems. A feedback control system consists of five basic components: 1 input, 2 process being controlled, 3 output, 4 sensing elements, and 5 controller and actuating devices.