Journal of Intelligent Industrial Systems

Excerpt

The articles included in vol.2, no. 4 of the Journal of Intelligent Industrial Systems can be classified in three main categories: (i) approaches to improved management of electric power systems, (ii) control methods for electric power systems (iii) control methods for complex electromechanical systems. In the first class of articles, that is improved management of electric power systems, one can distinguish a computational approach for solving the multi-objective optimization problem of the configuration of the power distribution grid. Moreover, in this thematic area belongs an article on the development of an improved home energy management system, showing that electric home appliances can be operated in an energy efficient manner despite the processing of ambiguous sensor measurements. In the second class of articles, that is control of electric power systems, one can distinguish first a vector control method for voltage inverters addressed to active power filters. The method contributes to the compensation of distortions in the grid’s voltage and thus it allows for improvement of the quality of the provided electric power. In the same class of articles a manuscript on differential flatness theory-based control of DC–DC converters is included. The method allows for more efficient conversion and exploitation of the power produced by photovoltaic units. In the third class of articles, that is control of complex electromechanical systems, one can distinguish first a method for differential flatness theory-based control of chaotic dynamical systems. As a case study, control and stabilization of the Lorenz chaotic oscillator is presented. In the same class of articles one can assign a manuscript presenting results on adaptive neurofuzzy (model-free) control of the turbocharged diesel engine. The presented method is based again on differential flatness theory and achieves control of diesel engines without need for prior knowledge about the its dynamic model. …