Nonlinear Process Control

This book is intended for researchers in process control and applied mathematics. It can also serve as a textbook for graduate students interested in nonlinear control theory.After discussing the basic design method of Model Reference Nonlinear Controller (MRNC), the book deals with the incorporation of explicit integral and derivative actions in the control law. Extension of the method to systems with relative order two and higher is provided. The design of series cascade MRNC systems and parallel cascade MRNC systems are given.Extensions of MRNC for systems with significant measurement dynamics or actuator dynamics are made. The design method of MRNC for systems with delay in measurement or in actuator is provided.Simulation studies on several nonlinear processes prove the effectiveness of the MRNC. About The Author: The author received B.E (chemical) in 1975 from Annamalai University and M.E. and Ph.D. from I.I.Sc., Bangalore in 1977 and 1984 respectively. He had been in the faculty of Chemical Engineering, Indian Institute of Technology, Bombay from 1984 to 1991. He is presently an Associate Professor in the Department of Chemical Engineering, I.I.T., Madras. His main teaching and research interests are in the area of Process Dynamics and control. He has 60 research publications in this area and guided 3 Ph.D. students. He has organised three Q.I.P short term courses related to Advanced Process Control. Table Of Contents: Introduction Model Reference Nonlinear Controller MRNC Incorporating Integral and Derivative Actions MRNC for Systems with Relative Order Two or Higher

This book is intended for researchers in process control and applied mathematics. It can also serve as a textbook for graduate students interested in nonlinear control theory. After discussing the basic design method of Model Reference Nonlinear Controller (MRNC), the book deals with the incorporation of explicit integral and derivative actions in the control law. Extension of the method to systems with relative order two and higher is provided. The design of series cascade MRNC systems and parallel cascade MRNC systems are given. Exlensions of MRNC for systems with significant measurement dynamics or actuator dynamics are made. The design method of MRNC for systems with delay in measurement or in actuator is provided. Simulation studies on several nonlinear processes prove the effectiveness of the MRNC. The auther received B.E. (chemical) in 1975 from Annamalai University and M.E. and Ph.D. from I.I.Sc., Bangalore in 1977 and 1984 respectively. He had been in the faculty of Chemical Engineering, Indian Institute of Technology, Bombay from 1984 to 1991. He is presently an Associate Professor in the Department of Chemical Engineering, I.I.T., Madras. His main teaching and research interests are in the area of Process Dynamics and control. He has 60 research publications in this area and guided 3 Ph.D. students. He has organized three Q.I.P short term courses related to Advanced Process Control.