| 引用本文: | 毛晓明,廖卫平.基于铭牌数据和序列二次规划算法的感应电动机模型参数辨识[J].电力自动化设备,2016,36(12): |
| MAO Xiaoming,LIAO Weiping.Induction motor model parameter identification based on motor nameplate data and sequential quadratic programming[J].Electric Power Automation Equipment,2016,36(12): |
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| 摘要: |
| 为克服基于铭牌数据辨识电动机模型参数时人工增加近似约束条件的不足，提出新的辨识电动机单笼和双笼模型参数的优化数学模型。该模型以计算效率偏差最小为目标，以电动机定子电流、输入无功、最大电磁转矩和起动参数等重要性能指标等于铭牌值为约束条件，并采用序列二次规划算法进行求解。算例验证了所提模型和算法的科学性。与其他方法的比较表明，采用所提模型与算法计算得到的模型参数能够更好地反映电动机的工作特性。 |
| 关键词: 感应电动机 铭牌数据 参数辨识 序列二次规划 |
| DOI：10.16081/j.issn.1006-6047.2016.12.014 |
| 分类号: |
| 基金项目:广东省自然科学基金资助项目(2014A030313509, S2013010012431) |
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| Induction motor model parameter identification based on motor nameplate data and sequential quadratic programming |
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MAO Xiaoming, LIAO Weiping
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School of Automation, Guangdong University of Technology, Guangzhou 510006, China
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| Abstract: |
| Since the model parameter identification based on the nameplate data of induction motor needs the manually-added approximate constraints, an optimal mathematical model is proposed to identify the model parameters of single-cage and double-cage induction motors, which takes the minimum efficiency deviation as its objective and applies the nameplate values of important performance indexes as its constraints, such as stator current, input reactive power, maximum electromagnetic torque, startup parameters, etc. The sequential quadratic programming algorithm is proposed to solve the model. Case study verifies the scientificity of the proposed model and algorithm. Compared with other methods shows that, the model parameters identified by the proposed model algorithm can better reflect the operating performances of induction motor. |
| Key words: induction motors nameplate data parameter identification sequential quadratic programming |
