دانلود مقاله ISI انگلیسی شماره 55630
عنوان فارسی مقاله

تجزیه و تحلیل عملکرد مقایسه ای از الگوریتم های مختلف PSO رمزگذاری شده باینری در طراحی کنترل کننده PID چند متغیره

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
55630 2012 12 صفحه PDF سفارش دهید محاسبه نشده
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پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Comparative performance analysis of various binary coded PSO algorithms in multivariable PID controller design
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 39, Issue 4, March 2012, Pages 4390–4401

کلمات کلیدی
کنترل کننده PID؛ اطلاعات ازدحام ؛ باینری PSO؛ بهینه سازی ازدحام ذرات؛ تنظیم PID
پیش نمایش مقاله
پیش نمایش مقاله تجزیه و تحلیل عملکرد مقایسه ای از الگوریتم های مختلف PSO رمزگذاری شده باینری در طراحی کنترل کننده PID چند متغیره

چکیده انگلیسی

In this paper, comparative performance analysis of various binary coded PSO algorithms on optimal PI and PID controller design for multiple inputs multiple outputs (MIMO) process is stated. Four algorithms such as modified particle swarm optimization (MPSO), discrete binary PSO (DBPSO), modified discrete binary PSO (MBPSO) and probability based binary PSO (PBPSO) are independently realized using MATLAB. The MIMO process of binary distillation column plant, described by Wood and Berry, with and without a decoupler having two inputs and two outputs is considered. Simulations are carried out to minimize two objective functions, that is, time integral of absolute error (ITAE) and integral of absolute error (IAE) with single stopping criterion for each algorithm called maximum number of fitness evaluations. The simulation experiments are repeated 20 times with each algorithm in each case. The performance measures for comparison of various algorithms such as mean fitness, variance of fitness, and best fitness are computed. The transient performance indicators and computation time are also recorded. The inferences are made based on analysis of statistical data obtained from 20 trials of each algorithm and after having comparison with some recently reported results about same MIMO controller design employing real coded genetic algorithm (RGA) with SBX and multi-crossover approaches, covariance matrix adaptation evolution strategy (CMAES), differential evolution (DE), modified continuous PSO (MPSO) and biggest log modulus tuning (BLT). On the basis of simulation results PBPSO is identified as a comparatively better method in terms of its simplicity, consistency, search and computational efficiency.

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