Parameters Optimization of PID Controller for an Artillery Coordinator Based on Multi-Objective Genetic Algorithm

The Artillery coordinator is vital important to the accuracy of artillery firing. However, state-of-the-art optimization methods to the control parameters of artillery coordinator, always utilize single subject modeling and analysis, which result in the coupling effects between different disciplines...

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Bibliographic Details

Published in:	International Conference on Industrial Mechatronics and Automation (Online) pp. 1332 - 1337
Main Authors:	Chen, Junhua, Chen, Longmiao, Miao, Wei, Chen, Guangsong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.10.2020
Subjects:	Analytical models Coordinator Couplings Evolutionary computation Hydraulic control Hydraulic systems Multi-objective evolutionary algorithm Multidisciplinary optimization PI control Simulation Vibrations
ISSN:	2152-744X
Online Access:	Get full text
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