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Precipitation Control for Mixed Solution Based on Fuzzy Adaptive Robust Algorithm

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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Abstract

Fuzzy adaptive robust control algorithm was proposed for a class of uncertain nonlinear systems based on Lyapunov’s stability theory. The system was divided into nominal model and lumped disturbance term which embodies modeling error, parameter uncertainties, disturbances and unmodeled dynamics. Fuzzy adaptive control was adopted to approach uncertain parameters of the system in real time; the impact of external disturbances was eliminated by robust control. The on-line calculation amount of fuzzy logic system is relatively less, the dynamic performance of system is better, and the output of system tracks the expectation well. The stability was proved and the algorithm was applied to the precipitation control of sucrose-glucose mixed solution. Simulation result supported the validity of the proposed algorithm.

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Author information

Authors and Affiliations

  1. Department of Automation Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China

    Hongjun Duan & Fengwen Wang

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Silong Peng

Authors
  1. Hongjun Duan
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  2. Fengwen Wang
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  3. Silong Peng
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Duan, H., Wang, F., Peng, S. (2012). Precipitation Control for Mixed Solution Based on Fuzzy Adaptive Robust Algorithm. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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