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Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process

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Abstract

Due to the large uncertainty in the municipal solid waste incineration (MSWI) process, the furnace temperature of the MSWI process is difficult to control and the controller is updated frequently. To improve the accuracy and reduce the number of controller updates, a novel event-triggered control method based correntropy self-organizing TS fuzzy neural network (ET-CSTSFNN) is proposed. Firstly, the neurons of the rule layer are grown or pruned adaptively based on activation intensity and control error to meet the dynamic change of the actual operating condition. Meanwhile, the performance index is designed based on the correntropy of tracking errors, and the parameters of the controller are adjusted by gradient descent algorithm. Secondly, a fixed threshold event-triggered condition is designed to determine whether the current controller is updated or not. The stability of the control system is proved based on the Lyapunov stability theory. Finally, the furnace temperature control experiments are conducted based on the actual data of a municipal solid waste incineration plant in Beijing. The experimental results show that the proposed ET-CSTSFNN controller shows a better control performance, which can reduce the number of the controller update significantly while achieving accurate furnace temperature control compared with other traditional control methods.

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Authors and Affiliations

  1. Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

    HaiJun He, Xi Meng, Jian Tang & JunFei Qiao

  2. Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China

    HaiJun He, Xi Meng, Jian Tang & JunFei Qiao

  3. Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China

    HaiJun He, Xi Meng, Jian Tang & JunFei Qiao

  4. Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education, Beijing, 100124, China

    HaiJun He, Xi Meng, Jian Tang & JunFei Qiao

  5. Xi’an Institute of Electromechanical Information Technology, Xi’an, 710065, China

    HaiJun He

Authors
  1. HaiJun He
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  2. Xi Meng
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  3. Jian Tang
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  4. JunFei Qiao
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Corresponding author

Correspondence to JunFei Qiao.

Additional information

This work was supported by the National National Science Foundation of China (Grant Nos. 62073006 and 62021003) and Beijing Natural Science Foundation (Grant No. 4212032).

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He, H., Meng, X., Tang, J. et al. Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process. Sci. China Technol. Sci. 66, 1096–1109 (2023). https://doi.org/10.1007/s11431-022-2078-3

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  • DOI: https://doi.org/10.1007/s11431-022-2078-3

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