SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2013, Vol. 21 ›› Issue (9): 1030-1037.DOI: 10.1016/S1004-9541(13)60564-9

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A New Tuning Method for Two-Degree-of-Freedom Internal Model Control under Parametric Uncertainty

Juwari Purwo sutikno1,2, Badhrulhisham Abdul aziz1, Chin Sim yee1, Rosbi Mamat3   

  1. 1 Process System Engineering Group, Faculty of Chemical and Natural Resources Engineering Universiti Malaysia Pahang, Lebuhraya Tun Razak Gambang, Kuantan 26300, Malaysia;
    2 Process Design and Control Laboratory, Chemical Engineering Department, Institut Teknologi Sepuluh Nopember Surabaya, Kampus ITS Sukolilo, Surabaya 60111, Indonesia;
    3 Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor 81310, Malaysia
  • Received:2012-02-08 Revised:2012-09-22 Online:2013-10-01 Published:2013-09-28
  • Contact: Juwari Purwo sutikno
  • Supported by:

    Supported by Postgraduate Fellowship of UMP, Fundamental Research Grant Scheme of Malaysia (GRS070120) and Joint Research Grant between Universiti Malaysia Pahang (UMP) and Institut Teknologi Sepuluh Nopember (ITS) Surabaya

A New Tuning Method for Two-Degree-of-Freedom Internal Model Control under Parametric Uncertainty

Juwari Purwo sutikno1,2, Badhrulhisham Abdul aziz1, Chin Sim yee1, Rosbi Mamat3   

  1. 1 Process System Engineering Group, Faculty of Chemical and Natural Resources Engineering Universiti Malaysia Pahang, Lebuhraya Tun Razak Gambang, Kuantan 26300, Malaysia;
    2 Process Design and Control Laboratory, Chemical Engineering Department, Institut Teknologi Sepuluh Nopember Surabaya, Kampus ITS Sukolilo, Surabaya 60111, Indonesia;
    3 Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor 81310, Malaysia
  • 通讯作者: Juwari Purwo sutikno
  • 基金资助:

    Supported by Postgraduate Fellowship of UMP, Fundamental Research Grant Scheme of Malaysia (GRS070120) and Joint Research Grant between Universiti Malaysia Pahang (UMP) and Institut Teknologi Sepuluh Nopember (ITS) Surabaya

Abstract: Internal model control (IMC) yields very good performance for set point tracking, but gives sluggish response for disturbance rejection problem. A two-degree-of-freedom IMC (2DOF-IMC) has been developed to overcome the weakness. However, the setting of parameter becomes a complicated matter if there is an uncertainty model. The present study proposes a new tuning method for the controller. The proposed tuning method consists of three steps. Firstly, the worst case of the model uncertainty is determined. Secondly, the parameter of set point controller using maximum peak (Mp) criteria is specified, and finally, the parameter of the disturbance rejection controller using gain margin (GM) criteria is obtained. The proposed method is denoted as Mp-GM tuning method. The effectiveness of Mp-GM tuning method has evaluated and compared with IMC-controller tuning program (IMCTUNE) as bench mark. The evaluation and comparison have been done through the simulation on a number of first order plus dead time (FOPDT) and higher order processes. The FOPDT process tested includes processes with controllability ratio in the range 0.7 to 2.5. The higher processes include second order with underdamped and third order with nonminimum phase processes. Although the two of higher order processes are considered as difficult processes, the proposed Mp-GM tuning method are able to obtain the good controller parameter even under process uncertainties.

Key words: tuning 2DOF-IMC, model uncertainty, dead time process, Mp-GM tuning, IMCTUNE

摘要: Internal model control (IMC) yields very good performance for set point tracking, but gives sluggish response for disturbance rejection problem. A two-degree-of-freedom IMC (2DOF-IMC) has been developed to overcome the weakness. However, the setting of parameter becomes a complicated matter if there is an uncertainty model. The present study proposes a new tuning method for the controller. The proposed tuning method consists of three steps. Firstly, the worst case of the model uncertainty is determined. Secondly, the parameter of set point controller using maximum peak (Mp) criteria is specified, and finally, the parameter of the disturbance rejection controller using gain margin (GM) criteria is obtained. The proposed method is denoted as Mp-GM tuning method. The effectiveness of Mp-GM tuning method has evaluated and compared with IMC-controller tuning program (IMCTUNE) as bench mark. The evaluation and comparison have been done through the simulation on a number of first order plus dead time (FOPDT) and higher order processes. The FOPDT process tested includes processes with controllability ratio in the range 0.7 to 2.5. The higher processes include second order with underdamped and third order with nonminimum phase processes. Although the two of higher order processes are considered as difficult processes, the proposed Mp-GM tuning method are able to obtain the good controller parameter even under process uncertainties.

关键词: tuning 2DOF-IMC, model uncertainty, dead time process, Mp-GM tuning, IMCTUNE