Advanced Control Methods and SimulationLaajuus (5 cr)

Objective

After this study unit, a student is able to derive dynamic differential equation models based on physical phenomena design and realize process experiments, analyze them, and produce time-continuous difference equation models based on sampled data (time-series models) present main multi-variable control methods in energy production and in process industries apply simulation programs to the main modelling procedures.

Content

Single input - single output dynamic models of basic process dynamics and PID controllers Multivariable process and controller models as a vector and matrix presentation (0,25) Dynamic differential and Laplace transfer function models based on first principles (0,5) Discrete time-series and z tranform models based on sampled data (0,5) Optimization in model predictive control (0,25) Fuzzy logic as a modelling and control method (0,5) Neural network technology as a modelling and control method (0,5) Advanced control applications related to energy production, quality control and maintenance monitoring Computing and simulation applications by using Matlab Simulink and control systems

Assessment criteria, good (3)

Excellent (5), good (4-3), satisfactory (2-1), fail (0)