Control Systems

According to the theory of automatic control, there should be no behavior's difference between an object given by a set of transfer functions, which are respectively interconnected, and a real object, corresponding to such a theoretical structure with given transfer functions. Accordingly, a generalized analysis of the Otto Smith hypothesis regarding the stability indices in automatic control systems with unstable zeros and poles of second-order transfer functions is carried out.

Nowadays, one of the main tasks is the development of alternative energy. Despite the considerable number of advantages, such sources of energy as the sun and wind are not permanent, and since these sources naturally work in "antiphase" it is advisable to use them together. Also, due to their instability, they are typically used with various types of storage systems, in particular hybrid energy storage systems, such as a combination of batteries and supercapacitors, which have better performance.

Among the promising non-classical control systems electromechanical systems, it can be distinguished the system of energy-based control, where the object is taken as port-controlled Hamiltonian system. The energy shaping control essence consists in forming the shape of energy based on formed task. The article raises the problem of the synthesis of energy-based control systems with nonlinearities. As example, it was selected DC motor with two-zones speed control and model, that takes into account the nonlinearity of the magnetization curve and variable time constant of the field loop.

The paper presents a description of a distributed control system of processing complex, consisting of three stages with a predictive diagnosis of sensors and actuators. Innovative methods of multi-agent control re focused on as one of the CPS concepts to improve the relation between different stages of enrichment equipment and their coordination.

The paper presents a brief description of engineering and scientific problems which arise at the steel plant PJSC “ArcelorMittal Kryvyi Rih” when organizing a repair workshop to fix industrial equipment.
The attention is paid to innovative methods of repair process based on intelligent agents and Industry 4.0 principles.