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Incremental multivariable predictive functional control and its application in a gas fractionation unit

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Abstract

The control of gas fractionation unit (GFU) in petroleum industry is very difficult due to multivariable characteristics and a large time delay. PID controllers are still applied in most industry processes. However, the traditional PID control has been proven not sufficient and capable for this particular petro-chemical process. In this work, an incremental multivariable predictive functional control (IMPFC) algorithm was proposed with less online computation, great precision and fast response. An incremental transfer function matrix model was set up through the step-response data, and predictive outputs were deduced with the theory of single-value optimization. The results show that the method can optimize the incremental control variable and reject the constraint of the incremental control variable with the positional predictive functional control algorithm, and thereby making the control variable smoother. The predictive output error and future set-point were approximated by a polynomial, which can overcome the problem under the model mismatch and make the predictive outputs track the reference trajectory. Then, the design of incremental multivariable predictive functional control was studied. Simulation and application results show that the proposed control strategy is effective and feasible to improve control performance and robustness of process.

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Authors and Affiliations

  1. School of Information and Control Engineering, Liaoning Shihua University, Fushun, 113001, China

    Hui-yuan Shi  (施惠元), Cheng-li Su  (苏成利), Jiang-tao Cao  (曹江涛), Ping Li  (李平), Ying-li Song  (宋英莉) & Ning-bo Li  (李宁波)

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  1. Hui-yuan Shi  (施惠元)
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  2. Cheng-li Su  (苏成利)
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  3. Jiang-tao Cao  (曹江涛)
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  4. Ping Li  (李平)
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  5. Ying-li Song  (宋英莉)
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  6. Ning-bo Li  (李宁波)
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Corresponding author

Correspondence to Cheng-li Su  (苏成利).

Additional information

Foundation item: Project(61203021) supported by the National Natural Science Foundation of China; Project(2011216011) supported by the Scientific and Technological Program of Liaoning Province, China; Project(2013020024) supported by the Natural Science Foundation of Liaoning Province, China; Project(2012BAF05B00) supported by the National Science and Technology Support Program, China; Project(LJQ2015061) supported by the Program for Liaoning Excellent Talents in Universities, China

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Shi, Hy., Su, Cl., Cao, Jt. et al. Incremental multivariable predictive functional control and its application in a gas fractionation unit. J. Cent. South Univ. 22, 4653–4668 (2015). https://doi.org/10.1007/s11771-015-3016-6

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  • DOI: https://doi.org/10.1007/s11771-015-3016-6

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