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The genetic algorithm in the research on the application of measurement and control system

Author: YuZhengHua
Tutor: WangYongChu
School: Huaqiao University
Course: Measure measurement technology and instrument
Keywords: Genetic algorithm
CLC: TP273.5
Type: Master's thesis
Year: 2001
Downloads: 191
Quote: 3
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Abstract


This paper is based on the genetic algorithm (GA) model structure and parameters identification, common PID parameter optimization setting and the engineering application methods. GA is a kind of high robustness global optimization method, in automatic control field widely application. I based on GA structure factor identification method (PIGA), combined with the improved GA (including innovative micro mutation operator and the realization of the model structure and parameters common recognition. On the basis of effective identification model, based on GA PID parameter optimization setting, combined with time domain and frequency domain, the performance of the realization of performance objective optimization. And based on the genetic differences between the self-adaption control parameter strategy. The application of GA in control at present most in theoretical simulation research stage. I used Matlab engine, virtual instrument platform Labwindows/CVI and KMM (simulation object) to build a simulation system and actual system data communication mode. This method for the application of GA to engineering practice, the establishment of industrial control system provides a new method. The method is simple, intuitive characteristics and strong engineering application value.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system
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