Control of Technical Systems

Qualification aims

Students can

• generate, manipulate and analyze digital and optical signals
• design, analyze, evaluate and control continuous systems
• design, analyze, evaluate and control discrete event systems
• design, analyze, evaluate, control and protect electrical energy systems

by

• understanding and applying digital signal processing theory
• understanding and applying theoretical concepts of optoelectronics
• understanding and applying linear, nonlinear and model predictive control theory
• understanding and applying discrete event control theory
• understanding and applying electrical system theory
• using “state of the art” analysis and design software
• summarizing results in reports
• presenting results in oral presentations

to

• be able to carry out design tasks such as system or plant design, controller design, etc.
• be qualified for a professional career as automation engineer

Courses

The module consists of four courses:

Digital Signal Processing and Optoelectronics

Contents

• Conversion of signals (D/A, D/A), discrete level and time, impact of analogue environment
• Transfer functions in S-plane
• Sampling theory fundamentals, Z-transformation, mapping S-Z-plane
• Fundamentals of digitals filters, transposed systems, DFT/FFT
• Multi-rate signal processing, sample rate conversion
• Optical signals
• Fourier optics (fourier basics, transfer function, convolution, autocorrelation, filtering (high pass, low pass,...), point spread function, sampling theorem, applications)
• Statistical optics (intensity, coherence functions, interference, coherence tomography)
• Acousto optics
• Fibers and switches
• Laser spectroscopy

Linear, Nonlinear and Model Predictive Control

Contents

• Advanced PID control (override control, etc.)
• Industrial PID controllers
• Matrix norms
• State space approach
• Interconnected systems and feedback
• Stability, Ljapunow stability and I/O stability
• Reachability, Observability and Controllability
• State feedback and output feedback
• Observers
• Multivariable poles and zeros
• Structural characteristics of non-linear systems
• Model-based predictive control systems
• Internal model control and Smith predictor
• Linear model predictive control (MPC)
• Nonlinear model predictive control (NMPC)
• Implementation concepts of major manufacturers

Automation of Discrete Event Systems

Contents

• Analysis of discrete event systems
• Design of discrete event systems
• Safety oriented discrete event systems
• Automation of hybrid dynamic systems

Protection, Automation and Control in Electrical Energy Supply

Contents

• Information systems in electric energy grids
• Protection systems
• Substation communication
• State estimation
• Voltage and reactive power control
• Testing and Monitoring

Bibliography

• B.E.A. Saleh and M.C. Teich: Fundamentals of Photonics, Wiley, 2007
• Girod, et.al.: Signals and Systems. ISBN 0-471-98800-6
• Proakis: Digital Signal Processing. ISBN 0-13-394289-9
• Diniz, et.al.: Digital Signal Processing. ISBN 0-521-78175-2
• Vaidyanathan, P.P.: Multirate Systems and Filter Banks. ISBN 0-13-605718-7
• Astrom, K.J., Hagglund, T.: Advanced PID Control, ISA, Research Triangle Park, 2006
• William, R.L., Lawrence, D.A.: Linear State-Space Control Systems. Wiley, 2007
• Liebermann, N.P.: Troubleshooting Process Plant Control. Wiley, 2008
• Rashid, M.: Energy Systems in Electrical Engineering, Springer
• Gómez-Expósito, et al: Electric Energy Systems – Analysis and Operation, CRC Press, 2009
• Sivanagaraju, S.: Power system operation and control, Pearson, 2010
• Hewitson, L.G.; Brown, M.; Balakrishnan, R.: Practical Power System Protection. Elsevier
• Anderson, P.M.: Power System Protection. IEEE Press
• Van Cutsem, T.; Vournas, C.: Voltage stability of electric power systems. Kluwer Publisher
• Häger, U.; Rehtanz, Ch.; Voropai, N.: Monitoring, Control and Protection of Interconnected Power Systems. Springer
• Stoustrup, J.; Annaswamy, A.; Chakrabortty, A.; Qu, Z.: Smart Grid Control. Springer