"Application of a MPC on a spark ignition engine"
Matus Kopacka
Abstract
In the following presentation I will be briefly introduced goals of my PhD
study, particularly application of MPC on some control loops in the
spark ignition engine control and
also information about my person and home university.
"Hierarchical and distributed control structures for large scale systems"
Carlo Romani
Abstract
Nowadays there is a growing interest in the research on control of large scale systems as industrial plants, production and distribution networks, manufacturing systems. In particular an intensive stream of research concerns the development of distributed and multi-level control structures. These large scale systems can be difficult to control with a centralized control structure due to the computational complexity, to robustness and reliability problems and to communication bandwidth limitations. For these reasons many distributed control structures have been developed and applied. My research is focused on the following aspects:
- study of partitioning methods for distributed and hierarchical control. Decomposition of a dynamical system in a number of weakly interacting sub-systems and representation of a dynamical system at different levels of abstraction for the design of decentralized/distributed or hierarchical control systems;
- design of distributed and/or hierarchical control structures for large scale systems, often composed by many interacting subsystems. Focusing on the design of model predictive control (MPC).
We study the design of two layers hierarchical control system with Model Predictive Control. We consider a system described by a discrete-time, multi-input, multi-output Wiener model, that can be divided in two layers, the system to be controlled, S, and the actuators, Sact , characterized by two different time scales. We also give a mathematical formulation of the control design problem, in the case of three levels, and we present a possible solution with MPC that provide a unifying framework for different cases.
