Synthesis of Control System of Heat and Power Object with Distributed Parameters on the Basis of Matrix Polynomial Models

The article presents a method of integrating control systems in heat and power applications with distributed parameters using matrix polynomial models. They speak about the consideration of complex phenomena such as heat exchange and conduction for introducing the improvement in control. It also all...

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Vydané v:2024 International Conference on Information Science and Communications Technologies (ICISCT) s. 295 - 300
Hlavní autori: Maxamadjanovna, Umurzakova Dilnoza, Mirzaolimovich, Sobirov Muzaffar, Qizi, Abdullayeva Mohigul Rahimjon
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 07.11.2024
Predmet:
Astatism
Computational modeling
Control efficiency
Control system
Control systems
Controller synthesis
Distributed parameters
Heat exchange dynamics
Heating systems
Mathematical models
Matrix converters
Matrix polynomial models
Polynomials
Power system stability
Simulation modelling
Stability analysis
System stability
Thermal power object
Thermal stability
Transient analysis
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Shrnutí:The article presents a method of integrating control systems in heat and power applications with distributed parameters using matrix polynomial models. They speak about the consideration of complex phenomena such as heat exchange and conduction for introducing the improvement in control. It also allows achieving better modeling of the system's behavior while maintaining stability and minimizing transients. The work also builds the approach converting systems of equations into matrix polynomial ones that helps perform computational analysis and synthesis of controllers. By simulation modeling, the efficiency of this method is proved, showing that it is equally suitable to cope with external interferences as well as increase the degree of control precision. The consequences of the study suggest that matrix polynomial models will enhance the effective control of thermal power facilities as it minimizes energy losses.
DOI:10.1109/ICISCT64202.2024.10956518