Description
Book SynopsisMost systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems.
Table of Contents1. Models, Control Theory, and Examples; 2. Identification and Control of SISO Systems; 3. Introduction to Linear Multivariable Systems; 4. CRC Method for Identifying TITO Systems; 5. CRC Method for Identifying SISO Systems by CSOPTD Models; 6. CRC Method for Identifying TITO Systems by CSOPTD Models; 7. Identification of Stable MIMO System by Optimization Method; 8. Identification of Centralized Controlled Multivariable Systems; 9. Identification of Multivariable SOPTD Models by Optimization Method; 10. Identification of Unstable TITO Systems by Optimization Techniqus; 11. Centralized PI Controllers Based on Steady State Gain Matrix; 12. SSGM Identification and Control of Unstable Multivariable Systems; 13. Control of Stable Non-square MIMO Systems; 14. Control of Unstable Non-square Systems; 15. Trends in Control of Multivariable Systems.
