Optimal PID control of Magnetic Levitation System using Genetic Algorithm

Ahmad, Ishtiaq; Shahzad, Mohsin; Pálenský, Peter

doi:10.1109/energycon.2014.6850610

Cited by 29 publications

(17 citation statements)

References 9 publications

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“…Başka bir çalışmada, genetik algoritma kullanılarak maglev sisteminin parametrelerinin ayarlanmasıyla PID denetleyici önerilmiştir. [16]. Kazançları LQR tekniği ile ayarlanarak maglev sistemini kontrol etmek için bir PID kontrol cihazı da önerilmiştir.…”

Section: Introductionunclassified

PI-PD Controller Design for Magnetic Levitation Systems Via Weighted Geometrical Center Method

et al. 2021

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Manyetik levitasyon (Maglev) sistemleri, mühendislik sistemlerinde sürtünmeyi en aza indiren çözümler sunduğundan, güncel mühendislik çalışmalarındandır. Bu çalışmada, yeni bir PI-PD kontrolcü tasarım prosedürü sunulmuştur. PI-PD kontrolcüleri, bir PI (iç döngü) ve bir PD (dış döngü) kombinasyonundan oluşur. İç döngünün amacı, açık döngü kararsız sistemi kararlı kılmaktır. Dış döngünün amacı, kapalı döngü sisteminin toplam performans gereksinimlerini sağlamaktır. Tasarım prosedürü, kontrolcü parametreleri düzleminde kararlılık sınır eğrisi kullanılarak çizilen kararlı bölgenin elde edilmesi ve bu bölgenin ağırlıklı geometrik merkezinin (AGM) hesaplanmasına dayanır. Tasarım prosedüründe, ilk olarak, iç döngü için PD kontrolcü parametrelerinin düzlemindeki kararlı bölge ve bunun ağırlıklı geometrik merkezi hesaplanır. İç döngü, belirtilen AGM kontrol parametreleri kullanılarak tek bir bloğa indirgenir ve ardından prosedür, farklı tasarımlarda faz ve kazanç payı performans gereksinimlerini uygulayan bir test fonksiyonu kullanılarak dış döngü PI denetleyicisi için tekrarlanır. Deneysel çalışma, önerilen metodoloji ile tasarlanan PI-PD kontrolcünün literatürde bulunan alternatiflere göre daha üstün performans sergilediğini göstermektedir.

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Section: Introductionunclassified

PI-PD Controller Design for Magnetic Levitation Systems Via Weighted Geometrical Center Method

et al. 2021

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“…To overcome those difficulties in designing a controller for position control of the levitated object in a MAGLEV system, variety of techniques have been developed by different researchers. Naturally, by optimizing their parameters utilizing various approaches, PID controllers has been used in controlling MAGLEV systems as well [20][21][22][23][24][25][26][27]. Several researchers have developed different FOPID controllers to obtain stable levitating and reinforced trajectory tracking control of Maglev system [28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Design of a MAGLEV System with PID Based Fuzzy Control Using CS Algorithm

Ataşlar-Ayyıldız

Karahan

2020

Cybernetics and Information Technologies

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The main aim of this study consists of proposing a simple but effective and robust approach for PID type fuzzy controller (Fuzzy-PID) in order to improve the dynamics and stability of a magnetic ball levitation system. The design parameters of the proposed controller are optimally determined based on Cuckoo Search (CS) algorithm. During the optimization, a time domain objective function is used for minimizing the values of common step response characteristics for the optimal selection of the controller parameters. Robustness tests are performed to evaluate the performance of the proposed controller through extensive simulations under load disturbance, parametric variation and changes in references. Moreover, to show the advantage and compare the performance of the proposed controller, the PID and Fractional Order PID (FOPID) controllers tuned with CS are designed. The simulation results and comparisons with the CS based PID and FOPID controllers demonstrate that the CS based Fuzzy-PID controller has superior performance depending on small overshoot, short settling time, fast rise time and minimum steady state error. Compared with the PID and FOPID controller tuned with CS, the simulation results show that the proposed Fuzzy-PID controller tuned with CS outperforms in terms of the accuracy, robustness and the least control effort.

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“…Maria Hypiusova designed the proportion integration differentiation (PID) controller for the magnetic levitation model with a method accomplished with performance specification in terms of phase margin and the modification of the Neimark D-partition method, which ensures the desired phase margin [2]. Ishtiaq Ahmad presented the design of the PID controller for a magnetic levitation system based on an efficient method of tuning controller parameters using the genetic algorithm [3]. Since the maglev system is a highly non-linear system, traditional PID control with fixed controller parameters will have poor control performance when the system is interfered with by the external environment changing or with some internal parameters drifting.…”

Section: Introductionmentioning

confidence: 99%

Research of RBF-PID Control in Maglev System

Song

et al. 2020

Symmetry

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Control of the maglev system is one of the most significant technologies of the maglev train. The common proportion integration differentiation (PID) method, which has fixed control parameters, ignores the non-linearity and uncertainty of the model in the design process. In the actual process, due to environmental changes and interference, the inherent parameters of the system will drift significantly. The traditional PID controller has difficulty meeting the control requirements, and will have poor control effect in the actual working environment. Therefore, a radial basis function (RBF)-PID controller is designed in this article, which can use the information from the levitation system identified by the RBF network to adjust the parameters of the controller in real time. Compared with the traditional PID control method, it is shown that the RBF-PID method can improve the control performance of the system through simulation and experiment.

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Optimal PID control of Magnetic Levitation System using Genetic Algorithm

Cited by 29 publications

References 9 publications

PI-PD Controller Design for Magnetic Levitation Systems Via Weighted Geometrical Center Method

PI-PD Controller Design for Magnetic Levitation Systems Via Weighted Geometrical Center Method

Design of a MAGLEV System with PID Based Fuzzy Control Using CS Algorithm

Research of RBF-PID Control in Maglev System

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