Advances In Nonlinear Observer Design For State And Parameter Estimation In Energy Systems Andreu Cecilia by Andreu Cecilia 9783031389238, 3031389239 instant download after payment.

sensors to obtain the value of the physical variables to be controlled. Unfortunately,

the addition of new sensors increases the cost and complexity of control systems.

Moreover, in certain applications, it is not possible to measure the variables of interest.

A current trend to address these problems is the use of virtual sensors that combine the

use of measured variables with mathematical models in order to estimate the desired

variables. In many cases, these virtual sensors take the form of state observers.

These methods, typical of automatic control and with a long conceptual trajectory,

are being increasingly integrated into control and supervision systems as in the case

of the popular digital twins. The thesis presents the application of state observers

to two types of energy systems such as fuel cells and energy distribution networks.

In fuel cells, the application of state observers to the estimation of PEM fuel cell

membrane humidity is presented. This is a very relevant problem for improving the

performance of PEM fuel cells, and it is very difficult to solve using conventional

techniques.

In energy distribution networks, the detection and compensation of attacks caused

by external entities is addressed. This is a subject of great interest and current

affairs. In addition to the practical applications, the thesis has made novel conceptual

proposals that represent an advance in the state of art of estimation algorithms, highlighting the proposal made in the joint estimation of states and parameters. We believe

that it is a very actual work and that can contribute significantly to the improvement

of the control and supervision of energy systems.