Predictive Control with Implementation SCE4106
SCE4106SCE4106
5,00
Master
Ett semester
Control with Implementation, Modeling and Simulation of Dynamic Systems.
Acquire an understanding for optimization of dynamic systems, with special emphasis on predictive control, and an overview of how advanced control algorithms can be implemented, how the algorithm can be coupled to a practical system/a process, and the importance of the control algorithm in the process control system.
Lectures, exercises, a compulsory group project, and the use of relevant software for PCs.
Mathematical programming/optimization methods. Optimization of dynamical systems (overview): model fitting, state estimation, data reconciliation. Discrete and continuous time systems, and parameterization of high order problems. Predictive control in LQ systems: DMC, GPC, state space models. Offset-free predictive control, and robust predictive control. Predictive control in nonlinear systems; efficient solution methods. Predictive control and controller efficiency. Overview of strategies for implementing control algorithms. Overview of commercially available predictive controllers.
The intermediate test counts 40 % and the final test counts 60 %, respectively, in the final grade.
It is necessary to pass both the intermediate test and the final test, in order to get a passing grade. No study aids are permitted at the final test.
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