529-0031-00L  Chemical Process Control

SemesterSpring Semester 2017
LecturersR. Grass
Periodicityyearly course
Language of instructionGerman


AbstractConcept of control. Modelling of dynamic systems. State space description, linearisation. Laplace transform, system response. Closed loop control - idea of feedback. PID control. Stability, Routh-Hurwitz criterion, frequency response, Bode diagram. Feedforward compensation, cascade control. Multivariable systems. Application to reactor control.
ObjectiveChemical Process Control. Process automation, concept of control. Modelling of dynamical systems - examples. State space description, linearisation, analytical/numerical solution.
Laplace transform, system response for first and second order systems. Closed loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criteria, root locus, frequency response, Bode diagram, Nyquist criterion. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. Applications to distillation and reactor control.
ContentProcess automation, concept of control. Modelling of dynamical systems with examples. State space description, linearisation, analytical/numerical solution. Laplace transform, system response for first and second order systems. Closed loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criterion, frequency response, Bode diagram. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. Applications to distillation and reactor control.
Lecture notesLink
Literature- "Feedback Control of Dynamical Systems", 4th Edition, by G.F. Franklin, J.D. Powell and A. Emami-Naeini; Prentice Hall, 2002.
- "Process Dynamics & Control", by D.E. Seborg, T.F. Edgar and D.A. Mellichamp; Wiley 1989.
- "Process Dynamics, Modelling & Control", by B.A. Ogunnaike and W.H. Ray;
Oxford University Press 1994.
Prerequisites / NoticeAnalysis II , linear algebra.

MATLAB is used extensively for system analysis and simulation.