INVESTIGATION OF ROBUST OPTIMUM CONTROL SYSTEMS FOR MULTIFUNCTIONAL TECHNOLOGICAL OBJECTS
Journal Title: Енергетика і автоматика - Year 2018, Vol 0, Issue 5
Abstract
A part of the technological objects of the food industry are characterized by the multifunctional of variables. This is requires synthesis of the control system with use additional techniques of unleashing channels. Autonomous systems used to unleashing cross-channels in a system with uncertainties impair quality and may lose stability that is unacceptable in the functioning of the system. On the other hand, robust systems are designed to control objects with uncertainty. The logical improvement of the control systems of multifunctional objects with uncertainty is a combination of robust and autonomous systems based on complexation methods. The purpose of the work is to develop an effective control system for a multifunctional object that operates under uncertainty, based on the complexation of robust-optimal and autonomous control methods. Local and autonomous control methods are used, respectively, to design the structure of local PID regulators and compensators. The non-smooth synthesis method for the H∞-optimization is used to configure the parameters of the resulting control device. As a result, the structure of the robust optimum regulator, consisting of the compensator and the local PID-regulators, whose parameters are calculated when optimizing the H∞-norm of the closed system, is obtained. Comparison of the proposed system with other systems by modeling has confirmed the effectiveness of a robust optimal multidimensional system, in particular, increases the quality of the system and the scope of uncertainty in which the system range stable. The developed control system maintains stability throughout the range of uncertainty of the object, but in nominal mode, the quality of the system is somewhat worse than in traditional control systems. This is due to the rough settings of the system that robust optimal systems have. Eliminating the last disadvantage is the prospect of further research.
Authors and Affiliations
Н. М. Луцька, А. П. , ЛАДАНЮК
Keywords
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