| 超声波电机的速度智能控制研究 |
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| 引用本文： | 乔维德.超声波电机的速度智能控制研究[J].深圳职业技术学院学报,2009,8(3):19-22. |
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| 作者姓名： | 乔维德 |
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| 作者单位： | 常州市广播电视大学,江苏常州,213001 |
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| 基金项目： | 江苏广播电视大学学术带头人基金 |
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| 摘 要： | 针对超声波电机参数的时变性、系统内在的非线性和系统的强耦合性等特点，提出基于免疫遗传算法的超声波电机模糊神经网络速度控制策略．实验结果表明，与传统模糊神经网络速度控制相比，采用该方法的系统能较好地实现设定的超声波电机速度参考模型的自适应跟踪，响应速度脉动小，具有控制灵活、适应性强、控制精度高、鲁棒性强等优点．
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| 关 键 词： | 免疫遗传算法 超声波电机 模糊神经网络 速度控制 |
Research on USM Speed Intelligent Control System |
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| QIAO Weide.Research on USM Speed Intelligent Control System[J].Journal of Shenzhen Polytechnic,2009,8(3):19-22. |
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| Authors: | QIAO Weide |
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| Institution: | QIAO Weide ( Changzhou Radio and Television University, Changzhou, Jiangsu 213001, China) |
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| Abstract: | Focusing on features of ultrasonic motor including time-varying parameters, non-linear system and strong coupling, the paper introduces fuzzy neural network control strategy for ultrasonic motor speed based on immune genetic algorithm. The results show that, the new approach can realize the adaptive tracking of the ultrasonic motor speed model compared with traditional fuzzy neural network speed control. It has the advantages of small response speed pulse, flexible control, adaptability, high control precision and robustness. |
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| Keywords: | immune genetic algorithm ultrasonic motors fuzzy neural network speed control |
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