Algorithms with focus on PFC (Predictive Functional Control)

Tutorial before the Nordic Process Control (NPC) Workshop in Oulu, Finland,
August 20/21, 2013  

Dr. Jacques Richalet,
Consultant
3 allée des Nourets
78430 Louveciennes - France
jacques.richalet@wanadoo.fr  

Day 1

9:00	Introduction of the participants
9:15	PFC (Predictive Functional Control): origin, principle, basic algorithm
10:45	Break
11:00	Practical Matlab implementation: 70 Matlab files
12:30	Lunch
13:30	Practical extensions of PFC: dead zone control, constraints etc.
15:00	Break
15:15	Feed-forward control with measured and estimated disturbance
16:30	Discussion: How to proceed in practice?
17:00	End

Day 2

9:00	Modelling: Practical test signal procedure. Iso-distance in the state space
10:45	Break
11:00	Different industrial applications, discussion
12:30	Lunch
13:30	Predictive multivariable control (Presented by the Group of Prof. I. Škrjanc, Laboratory of Modelling, Simulation and Control, Univ. of Ljubljana, SLO)
15:00	Break
15:15	Case studies and industrial realization of PFC (Presented by M. Mayer, Evon Automation GmbH, 8200 Gleisdorf, Austria)
16:30	Consultation
17:00	End

References:

1. Richalet, J., D. O’Donavan (2009). Elementary predictive functional control, Springer, Berlin, 222 p.
2. Haber, R., R. Bars, U. Schmitz (2011). Predictive Control in Process Engineering. From the Basics to the Applications. Wiley-VCH, Weinheim, Germany, 629 p. 

The basics of the algorithms are explained in the two books cited. The participants get some additional written documents (in paper form) and some  published papers. In most subjects programming and simulation exercises will be offered using Matlab.