Multiobjective Cuckoo Search Algorithm Based on Duffing's Oscillator Applied to Jiles-Atherton Vector Hysteresis Parameters Estimation

Coelho, Leandro dos Santos; Guerra, FabioAlessandro; Batistela, Nelson Jhoe; Leite, Jean V.

doi:10.1109/tmag.2013.2243907

Cited by 42 publications

(23 citation statements)

References 16 publications

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“…This method is also considered in this article due to its popularity in recent control problems. 31,41,42 In order to achieve more accurate evaluation of the proposed identification method and since the unknown parameters of the system are not identified in system identification problems, in the next section first the system model is identified using a known model and the performance of the method is assessed. Afterward, in section ''Simulation and applying the method to a real actuator,'' nonlinear dynamics of an experimental actuator are identified.…”

Section: Csa Algorithmmentioning

confidence: 99%

Identification of nonlinear actuators with time delay and rate saturation using meta-heuristic optimization algorithms

Sarhadi

Khosravi

Bijani

2015

Proceedings of the Institution of Mechanical Engineers, Part I:

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Actuators with rate and amplitude saturations and time delay are natural parts of autonomous systems. Accurate identification of these actuators is a prominent issue in controller design process. Nonlinear behavior and time delay characteristics have caused more complexity in identification. Various references have dealt with control of autonomous systems considering dynamics of actuators; however, the identification topic has not been explored properly. This article illustrates how meta-heuristic optimization techniques can be used to precisely identify such systems. At first, actuator model as a nonlinear system is considered as a combination of saturation elements, linear transfer function and an inserted time delay. Afterward, actuator model is identified using several optimization methods. The proposed scheme is simulated on a hypothetical system and its performance is demonstrated. Then, it is employed in an identification problem of a realistic actuator. The results revealed that the proposed method has appropriate performance in identification of actuators' dynamics.

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Section: Csa Algorithmmentioning

confidence: 99%

Identification of nonlinear actuators with time delay and rate saturation using meta-heuristic optimization algorithms

Sarhadi

Khosravi

Bijani

2015

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…The identification process of the model is numerical and is approached through solving a least squares (LSQ) problem against some reference data that can be either experimental or simulated [35,36]. The use of this model for practical applications has been favored by the development of new optimization techniques, which allowed a finer identification of the model parameters [16,[37][38][39][40][41][42][43][44][45][46][47][48][49]. On the other hand, the core of the model was widely revised in the years.…”

Section: Introductionmentioning

confidence: 99%

On the Generalization Capabilities of the Ten-Parameter Jiles-Atherton Model

Lozito¹,

Fulginei

Salvini³

2015

Mathematical Problems in Engineering

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This work proposes an analysis on the generalization capabilities for the modified version of the classic Jiles-Atherton model for magnetic hysteresis. The modified model takes into account the use of dynamic parameterization, as opposed to the classic model where the parameters are constant. Two different dynamic parameterizations are taken into account: a dependence on the excitation and a dependence on the response. The identification process is performed by using a novel nonlinear optimization technique called Continuous Flock-of-Starling Optimization Cube (CFSO3), an algorithm belonging to the class of swarm intelligence. The algorithm exploits parallel architecture and uses a supervised strategy to alternate between exploration and exploitation capabilities. Comparisons between the obtained results are presented at the end of the paper.

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“…Cuckoo Search Algorithm (CSA) that has a huge prospective to be as an effective alternative to other evolutionary algorithm in solving many optimization problems. CSA was previously applied to solve several engineering design optimization problems, such as the design of springs and welded beam structures [2], optimal location and sizing of distributed generation on a radial distribution system [9], and also applied for solving multi-objective optimization problems [10]. But the design of an optimal PID controller requires optimization of multiple performance parameters.…”

Section: Introductionmentioning

confidence: 99%

Cuckoo Search Algorithm Based Optimal Tuning of PID Structured TCSC Controller

Sethi

Panda

Sahoo

2014

Computational Intelligence in Data Mining - Volume 1

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Cuckoo Search Algorithm (CSA) is one of the new nature inspired metaheuristic algorithms for solving many engineering optimization problems. This paper investigates the application of CSA technique for the tuning of proportional integral derivative (PID) structured Thyristor Controlled Series Compensator (TCSC) based controller to improve damping of the power system when subjected to different disturbances at various loading conditions. The dynamic performances of proposed approach are analyzed by taking an example of Single Machine Infinite Bus (SMIB) power system in MATLAB/Simulink environment. The superiority of the proposed approach is demonstrated by comparing the simulation results with previously published technique such as Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based TCSC controller for the same power system.

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Multiobjective Cuckoo Search Algorithm Based on Duffing's Oscillator Applied to Jiles-Atherton Vector Hysteresis Parameters Estimation

Cited by 42 publications

References 16 publications

Identification of nonlinear actuators with time delay and rate saturation using meta-heuristic optimization algorithms

Identification of nonlinear actuators with time delay and rate saturation using meta-heuristic optimization algorithms

On the Generalization Capabilities of the Ten-Parameter Jiles-Atherton Model

Cuckoo Search Algorithm Based Optimal Tuning of PID Structured TCSC Controller

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