| 基于蚁群优化的模糊神经网络控制器的应用研究 |
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| 引用本文： | 李文江,杨崔,王涛. 基于蚁群优化的模糊神经网络控制器的应用研究[J]. 工矿自动化, 2009, 35(3) |
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| 作者姓名： | 李文江 杨崔 王涛 |
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| 作者单位： | 辽宁工程技术大学电气与控制工程学院,辽宁,葫芦岛,125105 |
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| 摘 要： | 针对传统PID控制方式的不足,文章提出了一种新的永磁同步电动机控制策略,即采用蚁群优化算法对模糊神经网络控制器的3个因子参数ka、kb、ku进行全局优化,给出了永磁同步电动机的数学模型,详细介绍了模糊神经网络控制器的设计,分析了蚁群优化算法,并进行了仿真实验。仿真结果表明,基于蚁群优化模糊神经网络控制器的永磁同步电动机调速系统具有很强的鲁棒性和自适应性,动态响应快,能够较好地跟踪负载变化。
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| 关 键 词： | 煤矿 电机车 永磁同步电动机 控制 蚁群优化 模糊神经网络 鲁棒性 |
Application Research of Fuzzy Neural Network Controller Based on Ant Colony Optimization |
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| LI Wen-jiang,YANG Cui,WANG Tao. Application Research of Fuzzy Neural Network Controller Based on Ant Colony Optimization[J]. Industry and Automation, 2009, 35(3) |
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| Authors: | LI Wen-jiang YANG Cui WANG Tao |
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| Affiliation: | College of Electrical and Control Engineering of Liaoning Technical University;Huludao 125105;China |
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| Abstract: | Aiming at the shortages of the traditional PID control mode,the paper proposed a new(control) strategy for permanent magnetism synchronous motor,namely using ant colony optimization(algorithm) to optimize three factors k_a,k_b,k_u of fuzzy neural network controller of overall system,and gave(mathematical) model of permanent magnetism synchronous motor,introduced design of fuzzy neural(network) controller in details,analyzed ant colony optimization algorithm and made simulation experiment at last.The simulat... |
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| Keywords: | coal mine electric locomotive permanent magnetism synchronous motor control ant(colony) optimization fuzzy neural network robustness |
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