• DocumentCode
    131028
  • Title

    Adaptive robust control of a Chinese medicine sugar precipitation process

  • Author

    Qingwei Li ; Hongjun Duan

  • Author_Institution
    Sch. of Resources & Mater., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    967
  • Lastpage
    970
  • Abstract
    A model dedicated to Chinese medicine sugar precipitation is designed, without consideration of crystal size distribution. Adaptive robust control algorithm is provided for the uncertain nonlinear system based on Lyapunov´s stability theory. The mechanism is based on “model decomposition”: adaptive controller is adopted to eliminate the parameter uncertainty; robust controller is adopted to attenuate the unknown dynamics and disturbance; feedback controller is developed to dominate the nominal plant. Three controllers compose the integrated controller for the uncertain nonlinear system. The stability is demonstrated and the output of system tracks the set point well. The algorithm is implemented to the sugar precipitation control of Chinese medicine solution. Simulation result assists the validity of the proposed algorithm.
  • Keywords
    Lyapunov methods; adaptive control; feedback; nonlinear control systems; pharmaceuticals; precipitation (physical chemistry); robust control; sugar; uncertain systems; Chinese medicine solution; Chinese medicine sugar precipitation process; Lyapunov stability theory; adaptive robust control; crystal size distribution; feedback controller; model decomposition; parameter uncertainty; uncertain nonlinear system; Adaptive control; Batch production systems; Crystals; Process control; Robust control; Robustness; Sugar; Chinese medicine; adaptive robust control; batch process; nonlinearity; precipitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933726
  • Filename
    6933726