A comparison between integer and fractional order pdµ controllers for vibration suppression
Isabela Roxana Birs,Cristina I. Muresan,Silviu Folea,Ovidiu Prodan +3 more
- Vol. 1, Iss: 1, pp 273-282
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TLDR
In this article, the airplane wing is modeled as a cantilever beam on which active vibration suppression is tested, and the tuning of both integer and fractional order Proportional Derivative type controllers based on constraints imposed in the frequency domain.Abstract:
Along the years, unwanted vibrations in airplane wings have led to passenger discomfort. In this study, the airplane wing is modeled as a cantilever beam on which active vibration suppression is tested. The paper details the tuning of both integer and fractional order Proportional Derivative type controllers based on constraints imposed in the frequency domain. The controllers are experimentally validated and the results prove once more the superiority of the fractional order approach.read more
Citations
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Comparison of Fractional Order Derivatives Computational Accuracy - Right Hand vs Left Hand Definition
TL;DR: In this paper, the authors apply Riemann-Liouville and Caputo formulas for FOD computation and investigate if an application of a particular order has any advantages, e.g. resulting in higher accuracy.
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Discrete-time implementation and experimental validation of a fractional order PD controller for vibration suppression in airplane wings
TL;DR: A new continuous-to-discrete-time operator is used to obtain the discrete-time approximation of the ideal fractional order PD controller and it is demonstrated that the designed controller can significantly improve the vibration suppression in smart beams.
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Active vibration control of smart composite plates using optimized self-tuning fuzzy logic controller with optimization of placement, sizing and orientation of PFRC actuators
Nemanja D. Zorić,Aleksandar Tomović,Aleksandar Obradovic,Radoslav Radulović,Goran R. Petrović +4 more
TL;DR: The particle swarm-optimized self-tuning fuzzy logic controller (FLC) adapted for the multiple-input multiple-output (MIMO) control is implemented for active vibration suppression of the plates.
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An Experimental Tuning Approach of Fractional Order Controllers in the Frequency Domain
TL;DR: An experimental tuning procedure for fractional-order proportional integral–proportional derivative (PI/PD) and PID-type controllers that eliminates the need of a mathematical model for the process is presented.
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Face recognition method based on GA-BP neural network algorithm
Jing Liu,Muhammad Aqeel Ashraf +1 more
TL;DR: Experimental results show that the proposed face recognition method has high signal-to-noise ratio, accuracy and recognition efficiency, and the GA-BP neural network algorithm is used to optimize the initial weights and thresholds so as to achieve the optimal value.
References
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Journal ArticleDOI
A Fractional Order Proportional and Derivative (FOPD) Motion Controller: Tuning Rule and Experiments
TL;DR: A new tuning method for fractional order proportional and derivative (PD ¿) or FO-PD controller is proposed for a class of typical second-order plants and shows that the closed-loop system can achieve favorable dynamic performance and robustness.
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Active vibration control of beams with optimal placement of piezoelectric sensor/actuator pairs
K. Ramesh Kumar,S. Narayanan +1 more
TL;DR: In this paper, the optimal placement of collocated piezoelectric actuator?sensor pairs on flexible beams using a model-based linear quadratic regulator (LQR) controller is considered.
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On Fractional PID Controllers: A Frequency Domain Approach
TL;DR: In this paper, a more general structure for the classical PID controller is proposed by using fractional integral and differential operators, and a frequency domain approach is used to show the advantages of using these fractional PID controllers, which can be sumarized in the possibility of dealing with more general class of control problems.
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Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks
TL;DR: In this paper, an intelligent neural network based controller is designed to control the optimal voltage applied on the piezoelectric patches of a flexible cantilever plate to mitigate the vibration response.