The optimal design method of FIR filter using the improved genetic algorithm

2014 ◽  
Author(s):  
An-Xin Zhao ◽  
Xiao-Jun Tang ◽  
Zhong-Hua Zhang ◽  
Jun-Hua Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Design Method ◽  
Fir Filter ◽  
Improved Genetic Algorithm ◽  
Optimal Design Method

Optimal Design for Broadband Dynamic Damper

2012 ◽  
Vol 490-495 ◽  
pp. 2723-2727
Author(s):  
Yan Ting Ai ◽  
Jing Tian ◽  
Qi Fu ◽  
Feng Ling Zhang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Frequency Ratio ◽  
Design Method ◽  
Damping Ratio ◽  
Excitation Frequency ◽  
Linear Dynamic ◽  
Dynamic Absorber ◽  
Optimal Design Method ◽  
Definition Of

This paper presents a new optimal design method based on genetic algorithm（GA）for broadband linear dynamic absorber. A New definition of the suppression bandwidth is described firstly. Then the method and procedure to optimize multi-parameters of broadband dynamic absorber is proposed. Effects of the natural frequency ratio, excitation frequency ratio, mass ratio, main system damping ratio and absorber ratio on the suppression bandwidth are discussed systematically. Finally the merits of genetic algorithm used for broadband linear dynamic absorber design are illustrated by contrasting it to a numerical method.

One Optimum Design Method of Dry-Type Air-Cored Reactors

2011 ◽  
Vol 130-134 ◽  
pp. 3229-3232
Author(s):  
Li Ping Zheng ◽  
Hai Yu ◽  
Ju Feng Dou
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Optimum Design ◽  
Optimization Model ◽  
Design Method ◽  
Improved Genetic Algorithm ◽  
Terminal Voltage ◽  
Set Up ◽  
Correlated Parameters ◽  
Inductive Potential

The process of designing a dry-type air-cored reactor is one repeated way of computing and regulating the correlated parameters, and it is very complex and time-consuming. Therefore, Genetic Algorithm is introduced in this paper, for the purpose of reducing error between total inductive potential of coils and the terminal voltage, we set up the optimization model of an air-cored reactor, and the Improved Genetic Algorithm is adopted to make an optimal design for the air-cored reactor. The results show that designed accuracy can be greatly improved.

scholarly journals Integrated Multiobjective Optimal Design for Active Control System Based on Genetic Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ma Yong-Quan ◽  
Qiu Hong-Xing
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Optimal Design ◽  
Active Control ◽  
Design Method ◽  
Control Force ◽  
Optimal Design Method ◽  
Active Control System ◽  
The Impact ◽  
Minimum Ratio

The integrated multiobjective optimal design method for structural active control system is put forward based on improved Pareto multiobjective genetic algorithm, through which the position of actuator is synchronously optimized with active controller. External excitation is simulated by stationary filtered white noise. The root-mean-square (RMS) of structural response and active control force can be achieved by solving Lyapunov equation in the state space. The design of active controller adopts linear quadratic regulator (LQR) control algorithm. Minimum ratio of the maximum RMS of controlled structural displacement divided by the maximum RMS of uncontrolled structural displacement and minimum ratio of the maximum RMS of controlled structural shear divided by the maximum RMS of uncontrolled structural shear, together with minimization of the sum of RMS of active control force, are used as the three objective functions of multiobjective optimization. The optimization process takes the impact of structure and excitation parameter on the optimized results. An eight-storey six-span plane steel frame was used as an emulational example to demonstrate the validity of this optimization method. Results show that the proposed integrated multiobjective optimal design method is simple, efficient, and practical with good universality.

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