Ebook: Industrial Process Identification and Control Design: Step-test and Relay-experiment-based Methods
Author: Tao Liu Furong Gao (auth.)
- Tags: Control, Industrial Chemistry/Chemical Engineering, Industrial and Production Engineering
- Series: Advances in Industrial Control
- Year: 2012
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.
The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.
Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.
All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.
The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.
Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.
All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
Content:
Front Matter....Pages i-xxvi
Front Matter....Pages 1-1
Introduction....Pages 3-11
Step Response Identification of Stable Processes....Pages 13-84
Step Response Identification of Integrating and Unstable Processes....Pages 85-117
Relay Feedback Identification of Stable Processes....Pages 119-196
Relay Feedback Identification of Integrating Processes....Pages 197-216
Relay Feedback Identification of Unstable Processes....Pages 217-240
Front Matter....Pages 241-241
Control of Single-Input-Single-Output (SISO) Processes....Pages 243-277
Two-Degrees-of-Freedom (2DOF) Control of SISO Processes....Pages 279-319
Cascade Control System....Pages 321-347
Multiloop Control of Multivariable Processes....Pages 349-368
Decoupling Control of Multivariable Processes....Pages 369-431
Batch Process Control....Pages 433-452
Concluding Remarks....Pages 453-456
Back Matter....Pages 457-472
Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice.
The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes.
Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes.
All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
Content:
Front Matter....Pages i-xxvi
Front Matter....Pages 1-1
Introduction....Pages 3-11
Step Response Identification of Stable Processes....Pages 13-84
Step Response Identification of Integrating and Unstable Processes....Pages 85-117
Relay Feedback Identification of Stable Processes....Pages 119-196
Relay Feedback Identification of Integrating Processes....Pages 197-216
Relay Feedback Identification of Unstable Processes....Pages 217-240
Front Matter....Pages 241-241
Control of Single-Input-Single-Output (SISO) Processes....Pages 243-277
Two-Degrees-of-Freedom (2DOF) Control of SISO Processes....Pages 279-319
Cascade Control System....Pages 321-347
Multiloop Control of Multivariable Processes....Pages 349-368
Decoupling Control of Multivariable Processes....Pages 369-431
Batch Process Control....Pages 433-452
Concluding Remarks....Pages 453-456
Back Matter....Pages 457-472
....