Identification of the parameters of the fractional rheological models of viscoelastic dampers using particle swarm optimization
نویسنده
چکیده
An identification method for determination of the parameters of the rheological models of dampers made of viscoelastic material is presented. The models have three or four parameters and the model equations of motion contain derivatives of the fractional order. The results of experiments are approximated using the trigonometric function in the first part of the procedure while the model parameters are determined as the solution to an optimization problem. The particle swarm optimization method is used to solve the optimization problem. The validity and effectiveness of the suggested identification method have been tested using artificial and real experimental data.
منابع مشابه
Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method
Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, it is possible to model the physical systems accurately. This paper deals with time-domain id...
متن کاملIdentification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm
In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of i...
متن کاملICCM2014 28-30 July, Cambridge, England PARAMETER IDENTIFICATION OF FLUID VISCOUS DAMPERS
This paper focuses on parameter identification of Fluid Viscous Dampers, comparing different existing literature models, with the aim to recognize ability of these models to match experimental loops under different test specimens. Identification scheme is developed evaluating the experimental and the analytical values of the forces experienced by the device under investigation. The experimental...
متن کاملSolving Fractional Programming Problems based on Swarm Intelligence
This paper presents a new approach to solve Fractional Programming Problems (FPPs) based on two different Swarm Intelligence (SI) algorithms. The two algorithms are: Particle Swarm Optimization, and Firefly Algorithm. The two algorithms are tested using several FPP benchmark examples and two selected industrial applications. The test aims to prove the capability of the SI algorithms to s...
متن کاملApplication of orthogonal array technique and particle swarm optimization approach in surface roughness modification when face milling AISI1045 steel parts
Face milling is an important and common machining operation because of its versatility and capability to produce various surfaces. Face milling is a machining process of removing material by the relative motion between a work piece and rotating cutter with multiple cutting edges. It is an interrupted cutting operation in which the teeth of the milling cutter enter and exit the work piece during...
متن کامل