期刊论文详细信息
American Journal of Engineering and Applied Sciences
Improved Coupled Tank Liquid Levels System Based on Swarm Adaptive Tuning of Hybrid Proportional-Integral Neural Network Controller | Science Publications
M. A. Ahmad1  RM. T.R. Ismail1  M. S. Ramli1  S. M. Nawi1  M. V. Mat1 
关键词: NN;    PSO;    level control;    water tank;   
DOI  :  10.3844/ajeassp.2009.669.675
学科分类:工程和技术(综合)
来源: Science Publications
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【 摘 要 】

Problem statement: Accuracy and stability of many systems in chemical and process industries which has Two-Input Two-Output (TITO) is one of the key factors of process which have cross coupling between process input and output. Approach: Unlike traditional neural network weight adaptation using gradient descent method, Particles Swarm Optimization (PSO) technique was utilized for adaptive tuning of neural network weights adjustment and fine tuning the controller

【 授权许可】

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