کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
699426 1460696 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reference trajectory tuning of model predictive control
ترجمه فارسی عنوان
تنظیم مسیر مرجع کنترل پیش بینانه مدل
کلمات کلیدی
تنظیم کنترلر پیش بینانه مدل ؛ تنظیم ردیابی مرجع؛ کنترل منطقه
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی


• The MPC cost function takes into account dynamic set point trajectories.
• The new MPC is industry-friendly.
• Its performance is on par with another tuning method from the literature.
• Its integration with real time optimization algorithms is straightforward.

An approach to minimize tuning effort of nominal Model Predictive Control algorithms is proposed. The algorithm dynamically calculates output set points to accommodate user-defined output importance, which is more intuitive than selecting values for the MPC weighing matrices. Instead of tuning the weights on the outputs deviations from their set points, weights on the input values and input increments, which are the usual tuning parameters of MPC, the desired output control performance of the MPC can be specified by performance factors. The proposed method extends the existing methods that consider a reference trajectory for the output tracking to the case of zone control and input targets. The proposed method also assumes that, as in most commercial MPC packages, the controller has two layers: a static layer and an extended dynamic layer. The method is illustrated by three case studies, contemplating both SISO and MIMO systems. It is observed that: the output set point tracking performance can be changed without modifying the MPC tuning weights, the approach is capable of achieving similar performance to conventional MPC tuned by multiobjective optimization techniques from the literature, with a fraction of computer effort, and it can be integrated with Real Time Optimization algorithms to control complex systems, always respecting output constraints.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Control Engineering Practice - Volume 50, May 2016, Pages 1–11
نویسندگان
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