Title :
Combustion chamber neural adaptive control using optical descriptors
Author :
Gromaszek, Konrad ; Kotyra, Andrzej
Author_Institution :
Inst. of Electron. & Comput. Sci., Lublin Univ. of Technol., Lublin, Poland
Abstract :
The paper discusses the conditions for the development of the combustion process control system and presents an algorithm to optimize the boiler operation based on information obtained from conventional instrumentation and incorporate model reference control scheme to assess the quality of the process. Comparative studies between two simulated MRAC systems show that neural adaptive control may mitigate disturbances on the system outputs.
Keywords :
boilers; combustion; combustion equipment; model reference adaptive control systems; neurocontrollers; optimisation; process control; MRAC systems; boiler operation; combustion chamber; combustion process control system; disturbances; model reference control; neural adaptive control; optical descriptors; optimization; process quality; Robustness; Temperature;
Conference_Titel :
Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2014
Print_ISBN :
978-8-3620-6518-9
