基于改进遗传算法的自抗扰控制器优化设计

doi:10.3976/j.issn.1002-4026.2016.05.001

SHANDONG SCIENCE ›› 2016, Vol. 29 ›› Issue (5): 1-8.doi: 10.3976/j.issn.1002-4026.2016.05.001

• Oceanographic Science, Technology and Equipment • Next Articles

Improved genetic algorithm based optimization design of active disturbance rejection controller

TANG Yongwei^1,2, ZHAO Jingbo¹*, WANG Maoli²,HAO Huijuan², L Xiaohui³

1. School of Automation Engineering, Qingdao University of Technology, Qingdao 266520, China；
2. Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan 250014, China;
3. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Received:2016-05-12 Online:2016-10-20 Published:2016-10-20

Abstract

Abstract:

We present an improved genetic algorithm that can adaptively adjust control parameters based on fitness degree for the force characteristics of supercavitation navigation body and such complicated issues as nonlinearity, time lag and coupling. We construct longitudinal model of supercavitation navigation body, which is controlled by a specific active disturbance rejection controller (ADRC). We further improve adaptive genetic algorithm to precisely optimize it for such issues as mass controller parameters and difficult adjustment. We eventually verify the advantage of the improved ADRC over classical ADRC through simulation. Simulation results show that the improved ADRC satisfies practical requirements and has better control effect.

Key words: improved adaptive genetic algorithm, parameter optimization, supercavitation navigation body, decoupling, active disturbance rejection controller

CLC Number:

TP29

TANG Yongwei, ZHAO Jingbo*, WANG Maoli,HAO Huijuan, L Xiaohui. Improved genetic algorithm based optimization design of active disturbance rejection controller[J].SHANDONG SCIENCE, 2016, 29(5): 1-8.

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Improved genetic algorithm based optimization design of active disturbance rejection controller

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