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| 改进粒子群算法在异步电机静态参数识别中的应用 | |
| 引用本文： | 覃建波,邱小华,许宁,宋湛华. 改进粒子群算法在异步电机静态参数识别中的应用[J]. 电机技术, 2008, 0(6) |
| 作者姓名： | 覃建波 邱小华 许宁 宋湛华 |
| 作者单位： | 广东工业大学,510006 |
| 摘 要： | 提出一种新的粒子群协同优化算法(PSCO).应用该粒子群协同优化算法实现异步电机静态参数辨识.在有噪声的情况下,该算法明显改善了标准粒子群算法和基于遗传的粒子群算法,在解决异步电机静态参数辨识问题时,存在识别参数准确性不高、辨识成功率低的问题. |
| 关 键 词： | 粒子群算法 异步电机 参数辨识 |
Application of Improved PSO in Induction Motors Static Parameters Identification |
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| Qin Jianbo,Qiu Xiaohua,Xu Ning,Song Zhanhua. Application of Improved PSO in Induction Motors Static Parameters Identification[J]. Electrical Machinery Technology, 2008, 0(6) | |
| Authors: | Qin Jianbo Qiu Xiaohua Xu Ning Song Zhanhua |
| Abstract: | This paper introduced a new improved particle swarm collaborative optimization(PSCO)algorithm and applied this method to static parameter identification of induction motor. Compared with the standard particle swarm optimization algorithm and the particle swarm optimization based on genetic algorithm, It had obvious advantage. Emulation experiments demonstrated that the PSCO algorithm remarkably improved the accuracy of identification parameters and increased the success rate of identification results when t... |
| Keywords: | Particle swarm optimization(PSO) Induction motor Parameter identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |