کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384128 660841 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiobjective evolutionary algorithms for multivariable PI controller design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Multiobjective evolutionary algorithms for multivariable PI controller design
چکیده انگلیسی

A multiobjective optimisation engineering design (MOED) methodology for PI controller tuning in multivariable processes is presented. The MOED procedure is a natural approach for facing multiobjective problems where several requirements and specifications need to be fulfilled. An algorithm based on the differential evolution technique and spherical pruning is used for this purpose. To evaluate the methodology, a multivariable control benchmark is used. The obtained results validate the MOED procedure as a practical and useful technique for parametric controller tuning in multivariable processes.


► We present a multiobjective optimisation design approach for PI controller tuning.
► The multiobjective approach allows analysing the trade-off among design objectives.
► The methodology is implemented in a multivariable process.
► An analysis of a Pareto front with several objectives is performed.
► It is possible to identify controllers with a desired trade-off.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 9, July 2012, Pages 7895–7907
نویسندگان
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