کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
688802 | 889572 | 2014 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust multi-parametric model predictive control for LPV systems with application to anaesthesia
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کلمات کلیدی
Mathematical programming - برنامه ریزی ریاضیAnaesthesia - بیهوشیDiscrete-time systems - سیستم های زمان گسستهTime-varying systems - سیستم های مختلف زمانLinear systems - سیستمهای خطیOptimal control - کنترل بهینهRobust control - کنترل قویModel-based control - کنترل مبتنی بر مدلPredictive control - کنترل پیش بینی شده
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
We present a multi-parametric model predictive controller (mpMPC) for discrete-time linear parameter-varying (LPV) systems based on the solution of the mpMPC problem for discrete-time linear time-invariant (LTI) systems. The control method yields a controller that adapts to parameter changes of the LPV system. This is accomplished by an add-on unit to the implementation of the mpMPC for LTI systems. No modification of the optimal mpMPC solution for LTI systems is needed. The mpMPC for LPV systems is entirely based on simple computational steps performed on-line. This control design method could improve the performance and robustness of a mpMPC for LPV systems with slowly varying parameters. We apply this method to process systems which suffer from slow variation of system parameters due, for example, to aging or degradation. As an illustrative example the reference tracking control problem of the hypnotic depth during intravenous anaesthesia is presented: the time varying system matrix mimics an external disturbance on the hypnotic depth. In this example the presented mpMPC for LPV systems shows a reduction of approximately 60% of the reference tracking error compared to the mpMPC for LTI systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 24, Issue 10, October 2014, Pages 1538-1547
Journal: Journal of Process Control - Volume 24, Issue 10, October 2014, Pages 1538-1547
نویسندگان
H. Chang, A. Krieger, A. Astolfi, E.N. Pistikopoulos,