Process Control

Winter Semester, 5th year, Curricula in Electronic Engineering, Computer Engineering, Mechnanical Engineering

Content:

  • Basic Process Modelling: Mass and energy conservation laws. Dynamic and algebraic model equations Process strucural characterization. Input/output cross-coupling through Bristol Array. Best choice of input/output coupling.
  • Continuous-Flow Reactor Modelling: CSTR, Plug-Flow, Dispersion. A case study of a tubular reactor with axial dispersion: structural modelling and parameter calibration.
  • Biotechnological Process Modelling: Basic chemical kinetics, enzyme and bacterial dynamics, Biomass growth and yield, Monod and Haldane models, both in a batch and CSTR environment. Asymptotic observers with known yield coefficients.
  • Parameter Calibration: Search algorithms for nonlinear dynamical models, an improved flexible polyhedron algorithm. Variance of estimated parameters. Application to Monod and Haldane kinetics. Estimating the transfer function of a linear system from step-response data. The rpoblem of parameter redundancy in a multi-exponential models.
  • Digical Control: Digital-to-analogue and analogue-to-digital converter models, sampling of a continuous-time process with ZOH and Z-transform, tustin with prewarping, ploe-zero matching. Direct synthesis design for sampled systems, dead-beat, Dahlin, Vogel-Edgar, Internal Model Control.
  • PID Controllers: Review of basic features, anti-windup and bumpless transfer, design with Nyquist, root locus and lead-lag approaches. Discrete-time PID in position and velocity forms. Labview implementation.
  • Data Acquisition Systems: Structure of a data acquisition system for process control, local and remore data acquisition, low-level serial transmission protocols: RS-232, RS-422, RS-485, local area networks for control (Ethernet with TCP/IP), Process automation networks (Profibus, Can Bus, Field Bus). Application of a real-time data acquisition and control language: LabVIEW 4.0.
  • Fuzzy Control: Introduction to fuzzy sets and systems, fuzzification, implication, connectives, defuzzification, rule-based controller with different approaches (Mamdani and Sugeno). Implementation aspects (fuzzification error, integral control, rule generation).
Lecture notes and computer excercises in Matlab/Simulink are made available to the students.

Reference textbook:
Seborg, D.E., Edgar, T.F., Mellichamp, D.A. , "Process Dynamics and Control ", Wiley & Sons, New York, 1989.

[home] [biography] [research] [teaching] [laboratory] [thesis] [papers] [coooperations] [news] [find me]