Open AccessSYNTHESIS OF OPTIMAL LINEAR-QUADRATIC DIGITAL CONTROLLER FOR INDUSTRIAL CONDITIONING WITH STEAM HUMIDIFIER
Author(s) -
Ігор Голінко,
Ірина Євгенівна Галицька
Publication year - 2015
Publication title -
mehanika giroskopičeskih sistem/mehanìka gìroskopìčnih sistem
Language(s) - English
Resource type - Journals
eISSN - 2519-2272
pISSN - 0203-3771
DOI - 10.20535/0203-377128201439008
Subject(s) - air conditioning , controller (irrigation) , control engineering , state vector , optimal control , control theory (sociology) , automation , computer science , control system , mathematical optimization , engineering , control (management) , mathematics , artificial intelligence , mechanical engineering , physics , classical mechanics , agronomy , biology , electrical engineering
For industrial complexes artificial microclimate (ICAM) proposed a methodology to develop a comprehensive mathematical model of industrial air conditioning in the space of a condition that involves the analysis of the structure of an automatic control system (ACS) and the development of appropriate control algorithms. On the basis of the developed methodology received a comprehensive model for technological schemes of industrial air conditioners as a single multidimensional control object. For the proposed methods use dynamic models of climatic equipment in the space of States . For the General model ICAM presents matrices that define a comprehensive model of industrial air conditioner with a steam humidifier. The algorithm of synthesis of multidimensional linear-quadratic digital controller (LQDC) for ICAM developed. The problem of synthesis of optimal LQDC considered and synthesized matrix feedback LQDC, which the state parameters of the control object determines the trajectory of the vector of optimal exposure that minimizes the quadratic criterion. From the classical procedure of synthesis LQDC the proposed algorithm is characterized by the presence of the logical selection of accessories for optimal control. This approach allows us to rethink the synthesis of ACS, as air conditioning is based on the separation of the mutual impact of the regulatory options. This allows you to transfer the control system is conditioned to a qualitatively new level and ensures the efficient use of energy for artificial microclimate systems. The obtained formulas are recommended experts on design automation of control systems and optimization of existing ones.