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作者:

Tian, Hao (Tian, Hao.) | Tang, Jian (Tang, Jian.) | Xia, Heng (Xia, Heng.)

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摘要:

Furnace temperature plays a pivotal role in ensuring the stability of municipal solid waste incineration (MSWI), influenced by variable factors such as material composition, feeding patterns, and equipment operation. We introduce an interval type-2 fuzzy neural network (IT2FNN) control method. Initially, we analyze furnace temperature control characteristics to identity crucial operating variables. Subsequently, we construct a multiple-input single-output (MISO) model for furnace temperature using the linear regression decision tree (LRDT) algorithm. Finally, we develop an IT2FNN-based controller for furnace temperature. The effectiveness of our proposed method is confirmed through control experiments using actual MSWI process data. © 2024 IEEE.

关键词:

Furnaces Waste incineration Municipal solid waste Fuzzy inference Fuzzy neural networks Temperature Temperature control Decision trees

作者机构:

  • [ 1 ] [Tian, Hao]Beijing University Of Technology, Faculty Of Information Technology, Beijing, China
  • [ 2 ] [Tang, Jian]Beijing University Of Technology, Faculty Of Information Technology, Beijing, China
  • [ 3 ] [Xia, Heng]Beijing University Of Technology, Faculty Of Information Technology, Beijing, China

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年份: 2024

页码: 1706-1709

语种: 英文

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