Supervision language control of electromechanical drives

The aim of this paper is to introduce a formal language based approach to the automatic supervision control of electromechanical drives. Modern applications often involve electromechanical drives with high dynamical complexity. The proliferation of these systems promises improved efficiency and reliability, reduced maintenance and operative costs, and a more environment friendly operation. However, they exhibit considerable complexities related with their behavior such as large uncertainties at a structural and parameter levels, multidimensionality, and strong mutual interactions. The integration of these systems with information processing techniques allows a better adaptive modeling of their behavior and thus better supervision concepts. Formal language techniques have been used in the past to study autonomous dynamical systems. Assuming the drive system as linguistic source, producing a certain language, the modeling framework is based on a formulation in terms of context-dependent grammars, distinguishing between information generated by the system and by the input control. Making use of the formal language descriptive characteristics the grammatical supervision algorithm governs the overall behavior of the drive. The formalism of the formal language based supervision control algorithm is presented and experimental results are discussed.