Using Multi-Objective Genetic Algorithm for Loudspeaker Enclosure Optimization
Date Issued
2012
Date
2012
Author(s)
Chiang, Do-Wei
Abstract
This thesis is mainly about using multi-objective genetic algorithm to optimize loudspeaker system’s performance by changing the volume of loudspeaker system’s enclosure. The optimization method used in this thesis is more efficient and accurate than the trial-and-error.
This thesis consists of two parts. First, the loudspeaker system was simplified to electro-mechano-acoustic analogous circuits; then, the frequency response of the loudspeaker system can be plotted by calculating the volume velocity in the acoustic analogous circuit. After that, under the circumstances of specified loudspeaker and front enclosure, the best decisions of the volume of the rear enclosure will be chosen by the Non-dominated Sorting Genetic Algorithm-II.
The second part of the thesis is about using real models to find out whether the simulation and the optimization are reliable. To begin, three sample models which follow the design in simulation are made, and each ones’ frequency response are measured in the anechoic room. After that, the measured frequency response and simulated one are compared in order to see whether these two curves match perfectly.
According to the result, under the circumstances of specified loudspeaker and front enclosure, the frequency response of the loudspeaker system can reach to the limitation that the company required by 80% at best after the optimization. Further, if the dimensions of both front and rear enclosures are variable, the frequency response of the loudspeaker system can reach to the limitation by 100% at best.
Subjects
loudspeaker system
EMA analogous circuits
genetic algorithm
NSGA-II
Type
thesis
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