Practical Control Engineering: A Guide for Engineers, Managers, and Practitioners
by: David M. Koenig
Abstract: Grasp the results of applying math without having to understand mathematics in depth. With the help of Practical Control Engineering, you can improve your knowledge of the applied mathematics used in your fields. Written in a lively conversational style, the book focuses on the results of applying math in engineering practice, contains real, operation-based problems, and includes appendices on rudimentary calculus, complex numbers, and spectral analysis for those who want more detail.
Full details
Table of Contents
- A. About the Author
- B. Preface
- 1. Qualitative Concepts in Control Engineering and Process Analysis
- 2. Introduction to Developing Control Algorithms
- 3. Basic Concepts in Process Analysis
- 4. A New Domain and More Process Models
- 5. Matrices and Higher-Order Process Models
- 6. An Underdamped Process
- 7. Distributed Processes
- 8. Stochastic Process Disturbances and the Discrete Time Domain
- 9. The Discrete Time Domain and the Z-Transform
- 10. Estimating the State and Using It for Control
- 11. A Review of Control Algorithms
- I. Appendices
Tools & Media
Expanded Table of Contents
- A. About the Author
- B. Preface
- 1. Qualitative Concepts in Control Engineering and Process Analysis
- What Is a Feedback Controller?
- What Is a Feedforward Controller?
- Process Disturbances
- Comparing Feedforward and Feedback Controllers
- Combining Feedforward and Feedback Controllers
- Why Is Feedback Control Difficult to Carry Out?
- An Example of Controlling a Noisy Industrial Process
- What Is a Control Engineer?
- Summary
- 2. Introduction to Developing Control Algorithms
- 3. Basic Concepts in Process Analysis
- 4. A New Domain and More Process Models
- Onward to the Frequency Domain
- How Can Sinusoids Help Us with Understanding Feedback Control?
- The First-Order Process with Feedback Control in the Frequency Domain
- A Pure Dead-Time Process
- A First-Order with Dead-Time (FOWDT) Process
- A Few Comments about Simulating Processes with Variable Dead Times
- Partial Summary and a Slight Modification of the Rule of Thumb
- Summary
- 5. Matrices and Higher-Order Process Models
- 6. An Underdamped Process
- The Dynamics of the Mass/Spring/Dashpot Process
- Solutions in Four Domains
- PI Control of the Mass/Spring/Dashpot Process
- Derivative Control (PID)
- Compensation before Control—The Transfer Function Approach
- Compensation before Control—The State-Space Approach
- An Electrical Analog to the Mass /Dashpot /Spring Process
- Summary
- 7. Distributed Processes
- The Tubular Energy Exchanger—Steady State
- The Tubular Energy Exchanger—Transient Behavior
- Solution of the Tubular Heat Exchanger Equation
- Studying the Tubular Energy Exchanger in the Frequency Domain
- Control of the Tubular Energy Exchanger
- Lumping the Tubular Energy Exchanger
- Lumping and Axial Transport
- State-Space Version of the Lumped Tubular Exchanger
- Summary
- 8. Stochastic Process Disturbances and the Discrete Time Domain
- 9. The Discrete Time Domain and the Z-Transform
- Discretizing the First-Order Model
- Moving to the Z-Domain via the Backshift Operator
- Sampling and Zero-Holding
- Recognizing the First-Order Model as a Discrete Time Filter
- Descretizing the FOWDT Model
- The Proportional-Integral Control Equation in the Discrete Time Domain
- Converting the Proportional-Integral Control Algorithm to Z-Transforms
- The PIfD Control Equation in the Discrete Time Domain
- Using the Laplace Transform to Design Control Algorithms—the Q Method
- Using the Z-Transform to Design Control Algorithms
- Designing a Control Algorithm for a Dead-Time Process
- Moving to the Frequency Domain
- Filters
- Frequency Domain Filtering
- The Discrete Time State-Space Equation
- Determining Model Parameters from Experimental Data
- Process Identification with White Noise Inputs
- Summary
- 10. Estimating the State and Using It for Control
- An Elementary Presentation of the Kalman Filter
- Estimating the Underdamped Process State
- The Dynamics of the Kalman Filter and an Alternative Way to Find the Gain
- Using the Kalman Filter for Control
- Feeding Back the State for Control
- Integral and Multidimensional Control
- Proportional-Integral Control Applied to the Three-Tank Process
- Control of the Lumped Tubular Energy Exchanger
- Miscellaneous Issues
- Summary
- 11. A Review of Control Algorithms
- The Strange Motel Shower Stall Control Problem
- Identifying the Strange Motel Shower Stall Control Approach as Integral Only
- Proportional-Integral, Proportional-Only, and Proportional-Integral-Derivative Control
- Cascade Control
- Control of White Noise—Conventional Feedback Control versus SPC
- Control Choices
- Analysis and Design Tool Choices
- I. Appendices
Book Details
Title: Practical Control Engineering: A Guide for Engineers, Managers, and Practitioners
Publisher: : New York, Chicago, San Francisco, Lisbon, London, Madrid, Mexico City, Milan, New Delhi, San Juan, Seoul, Singapore, Sydney, Toronto
Copyright / Pub. Date: 2009 The McGraw-Hill Companies, Inc.
ISBN: 9780071606134
Authors:
David M. Koenig
Ph.D. worked for 27 years as an engineering associate at Corning, Inc.
Description: Grasp the results of applying math without having to understand mathematics in depth. With the help of Practical Control Engineering, you can improve your knowledge of the applied mathematics used in your fields. Written in a lively conversational style, the book focuses on the results of applying math in engineering practice, contains real, operation-based problems, and includes appendices on rudimentary calculus, complex numbers, and spectral analysis for those who want more detail.
