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A Particle Swarm Optimization (PSO) Based Optimum of Tuning PID Controller for a Separately Excited DC Motor (SEDM)

Author: Alia J. Mohammed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2011 Volume: 29 Issue: 16 Pages: 3331-3344
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

The PID algorithm is the most popular feedback controller used within the process industries. It is robust easily understood algorithm that can provide excellent control performance despite the varied dynamic characteristics of process plant. But the tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner systems. In the last years emergedseveral new intelligent optimization techniques like, Particle Swarm Optimization (PSO) techniques. This paper deals the non-liner mathematical model and simulation for speed control of separately excited D.C. motor with closed loop PID controller. The conventional PID tuning technique is represented as a point of comparison. Theintelligent optimization technique: PSO is proposed to tune the PID controller parameters. The obtained results of the closed loop PSO-PID Controller response shows the excellent response with comparing to the conventional PID, a good results gives in PSO-PID Controller. The simulation results presented in this paper show the effectiveness of the proposed method, which has got a wide number of advantages.


Article
Speed Control For Separately Excited DC Motor Drive (SEDM) Based on Adaptive Neuro-Fuzzy Logic Controller
السيطرة على سرعةِ محرك تيار مستمر ذو أثارة مُنفصلة (إس إي دي إم) مستند على جهازِ السيطرة الضبابيِ العصبيِ التكيفيِ

Author: Alia J. Mohammed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2013 Volume: 31 Issue: 2 Part (A) Engineering Pages: 277-295
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This paper presents an application of Fuzzy Logic Control (FLC) in the separately excited Direct Current (DC) motor drive (SEDM) system; the controller designed according to Fuzzy Logic rules. Such that the system is fundamentally robust. These rules have capability learning, can learn and tune rapidly, even if the motor parameters are varied. The most commonly used method for the speed control of dc motor is Proportional- Integral- Derivative (PID) controller. Simulation results demonstrate that, the control algorithms Neuro-Fuzzy logic and PID, the dynamic characteristics of the SEDM (speed, torque, as well as currents) are easily observed and analyzed by the developed model. In comparison between the Neuro-fuzzy logic controller and PID controller, the FLC controller obtains better dynamic behavior and superior performance of the DC motor as well as perfect speed tracking with no overshoot, and the proposed controller provides high performance dynamic characteristics and is robust with regard to change of motor speed and external load disturbance. This paper also discusses and compares the speed control systems of SEDM using PID- controller conventional and Fuzzy Logic-controller. The entire system has been modeled using MATLAB 10a/SIMULINK toolbox.

يقدّمُ هذا البحث تطبيقَ سيطرةِ المنطقِ الضبابيةِ (FLC) في منظومة محرك تيار مستمر ذو اثارة منفصلة (SEDM ). صمم جهاز السيطرة طبقاً لقواعدِ المنطقِ الضبابيةِ حتى تكون الأنظمةُ متينة. هذه القواعدِ لَها قابليةُ التعلم، يُمْكِنُ أَنْ تتعلّمَ وتنغّمَ بسرعة، حتى عند إختلاف معاملات المحرّكِ. إنّ جهازَ السيطرة المستعملَ عموماً والأكثر أنتشارا للسيطرةِ على سرعة محركات التيار المستمر هو جهاز السيطرة التناسبي التكامليُ التفاضلي (PID)، تبيّنُ نَتائِجُ المحاكاةِ بأنَّ، خوارزميات سيطرةَ المنطقِ الضبابيِ العصبيِ وبي آي دي، الخصائص الدينامية (سرعة، عزم ، بالإضافة إلى التياراتِ) لـ (SEDM) تُلاحظُ بسهولة وحلّلتْ بالنموذجِ المتطورِ. بالمقارنة بين جهازِ سيطرة المنطقِ الضبابيِ العصبيِ وجهازِ سيطرة (PID)، حصول جهازُ سيطرة (NFLC) على السلوكِ الديناميِ الأفضلِ والأداءِ المتفوّقِ لمحرك التيار المستمر, بالإضافة إلى تعقّبُ السرعةِ المثاليةِ بدون تجاوز الاطلاق ، ويُزوّدُ جهازَ السيطرة المُقتَرَحَ خصائصَ ديناميةَ عالية الأداءَ ومتينُ فيما يتعلق بتغييرِ السرعةِ المحرّكةِ وإضطرابِ الحملِ الخارجيِ. تُناقشُ في هذا البحث أيضاً وتُقارنُ أنظمةَ سيطرةِ سرعةَ المحرك باستعمال جهاز سيطرة (PID) التقليدي وجهاز سيطرة المنطق الضبابي العصبي (NFLC). نموذج النظام شُكل بأستعمال صندوق عدة الماتلاب/ سيملنــــــك( MATLAB10a/SIMULINK ).

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