2017
DOI: 10.1515/aoter-2017-0006
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A comparison of fuzzy logic and cluster renewal approaches for heat transfer modeling in a 1296 t/h CFB boiler with low level of flue gas recirculation

Abstract: The interrelation between fuzzy logic and cluster renewal approaches for heat transfer modeling in a circulating fluidized bed (CFB) has been established based on a local furnace data. The furnace data have been measured in a 1296 t/h CFB boiler with low level of flue gas recirculation. In the present study, the bed temperature and suspension density were treated as experimental variables along the furnace height. The measured bed temperature and suspension density were varied in the range of 1131-1156 K and 1… Show more

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Cited by 40 publications
(16 citation statements)
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“…In the presented paper, BF is used for chattering alleviation; therefore, the BF operation boundary ε is limited to the pre-selected value ε, Figure 2, where the chattering alleviation starts and holds, 0 < ε < ε. For the smooth transition from STA to BSTA, or operation mode one to two, and, with regards to Figure 2 and Equation (19), the gain L of Equation (20) needs to be selected as…”
Section: Let Us Consider the Lyapunov Barrier Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the presented paper, BF is used for chattering alleviation; therefore, the BF operation boundary ε is limited to the pre-selected value ε, Figure 2, where the chattering alleviation starts and holds, 0 < ε < ε. For the smooth transition from STA to BSTA, or operation mode one to two, and, with regards to Figure 2 and Equation (19), the gain L of Equation (20) needs to be selected as…”
Section: Let Us Consider the Lyapunov Barrier Functionmentioning
confidence: 99%
“…There are many adaptive SMC approaches, which are based on artificial intelligence methods such as fuzzy logic and neural networks. Fuzzy logic and neural networks are often use for unknown parameter estimation or the controller structure or gains adaptation [18,19]. Roughly all the proposed techniques alleviated the chattering but could not completely suppress it.…”
Section: Introductionmentioning
confidence: 99%
“…Taking the above into account, the design of a heat exchanger is a complex procedure, mostly with rather qualitative judgments, trade-offs, and compromises than quantitative analytical evaluation [2,3]. Despite the fact that rating and sizing are common tasks in a heat exchanger design procedure, modeling provides some additional information and data, allowing to improve a specific solution [16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…As models usually need some additional data, e. g. to adjust coefficients, some parameters could not be determined immediately, especially for different operating conditions. Moreover, sometimes additional assumptions should be made to get a trackable solution, so the algorithms are often complicated and based on the solution of complex and time consuming sets of differential equations [10][11][12]. Krzywanski…”
Section: Introductionmentioning
confidence: 99%