Автоматизована система керування процесом сушіння зернових культур

Abstract

According to the results of research, a new way to solve the problem of grain drying is proposed, which is to create an adaptive optimization system for automatic control of the drying process in order to obtain conditioned grain for further storage. The properties of grain as an object of drying are analyzed, experimental regularities, methods of drying and methods of grain drying process are investigated. According to the results of the analysis of grain characteristics and drying process, it is determined that the balance of quality and cost should be based on the development of a new type of microdryer mountain grain dryer DC. A mathematical model describing the spatial distribution of parameters used for grain drying in a mine grain dryer has been established. Defined To simplify the construction of automatic process control systems, it is recommended to move from a system with distributed to a system with centralized parameters, presented as a matrix transfer function for the i-th input, where the j-th output variable is the primary transformation. temperature and humidity number of devices. Structure and algorithms of multidimensional autonomous SAC with a reference model of the required quality to perform grain drying tasks. The results of the study determined that the addition of autonomous optimal direct and cross-links in the control objects allows to create functionally reliable SAC for nonstationary and random characteristics of the objects. Using a systems approach, structures and algorithms to run a multi-adaptive identification system, a subsystem for the identification of drying processes was built. As a result of the use of IMNK, an unbiased and efficient assessment of the transfer function of the dryer is obtained, which allows to implement the optimal adaptive algorithm of self-regulation of the single wet-temperature channel of the dryer as a multidimensional object with crosslinking. Key words: grain dryer, drying chamber, system with distributed parameters, multidimensional model, adaptive optimal automatic control system, identification.Using a systems approach and the structure and algorithms of operation of a multi-adaptive identification system, a subsystem for the identification of processes in the dryer was built. As a result of the use of IMNK, unbiased and efficient estimates of the transfer functions of the dryer were obtained, which allowed to implement optimal adaptive algorithms for autonomous control of individual humidity temperature channels of the dryer as a multidimensional object with cross-links.