The dynamic characteristics of discrete systems, as in the theory of continuous systems, include transfer functions, time (impulse, transient) and frequency characteristics. When determining time characteristics, a single discrete impulse and a single discrete function are used as typical signals. The transient characteristic of a linear discrete system is the response to the single discrete function under zero initial conditions. The study of discrete systems begins with an assessment of their fundamental operability, that is, stability. The stability of continuous linear systems is determined by the behavior of the transient component of the general solution of a homogeneous differential equation of the system under study. Similarly, the problem is solved for discrete systems described by linear difference equations. A discrete system is called stable if the transient process tends to zero over time. The analysis of the discrete control system on the stability and accuracy of the transient process is conducted. Conclusion: in a discrete system stability, accuracy and control quality depend on the parameters of the gain system and the time.
Most of the currently existing microclimate control systems operate on the basis of traditional P, PI, PID controllers. But the work of such systems is effective only in a narrow operating range. With significant fluctuations in environment, it is required to reconfigure the parameters of these regulators each time. In such cases, maintaining comfortable conditions in the room is recommended by using intelligent control technologies, so-called fuzzy control systems, operating in terms of fuzzy logic. The aim of the paper is to research the possibility of implementation of intelligent control systems to maintain the comfortable microclimate in the premises and checking the adequacy of the system through simulation. The climate control system is based on fuzzy inference and provides forming the base of fuzzy production rules, fuzzification of input values, aggregation of truth of sub conditions of each rule, activation of conclusions and defuzzification process that generates an output signal to control the smart home functional devices. Procedures of the fuzzy inference and simulation are implemented in the Matlab programming environment using the Fuzzy Logic Toolbox and Simulink packages. The results of the paper showed that the developed intelligent microclimate control system for premises based on fuzzy logic provides a flexible self-tuning of the engineering equipment and maintaining the microclimate parameters at the required level.
This paper identifies the technical and economic aspects of application of intelligent technologies to maintain a comfortable indoor microclimate on the basis of statistical data. In the process of studying works of foreign authors, examples of the climate control systems are considered, which are developed based on the use of various intelligent technologies (fuzzy systems, neural networks, neuro-fuzzy modeling). The results of analysis have revealed the advantages and disadvantages of the given control systems and has defined promising further directions.
The development of the model of the intelligent system on the basis of fuzzy sets for microclimate control of building Nowadays, much attention is paid to the creation of favorable conditions for the health and work of people and the microclimate in the design and further operation of buildings. It is necessary to investigate the processes of forming a microclimate in the room to assess the comfort of the microclimate, as well as to determine the required capacity of the equipment of engineering systems. Analytical research methods, methods of mathematical and computer modeling are used as research methods. The methods of analysis and synthesis of automatic control systems, mathematical apparatus of theory of fuzzy logic, the Matlab software environment, the system of visual modeling Simulink, and the system for designing fuzzy systems Fuzzy Logic Toolbox are used for research. The paper presents a model of the room, taking into account the heat loss through the enclosing structures, the model of the air conditioner, the structure of the fuzzy control system, the algorithm of its functioning, input and output variables of the fuzzy controller, the composition of their terms, membership functions, the formed complete database of rules. On the basis of research methods, the actual scientific and practical problem of developing an intelligent control system for the formation of the comfort microclimate of the building is solved.
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