摘要
针对矿用驱动电机节能控制中存在的电动机转矩脉动和速度波动问题,提出模糊预补偿调速控制方案.以元器件分类建立异步电机损耗模型并提出基于粒子群算法的变磁通控制方案.提出模糊预补偿给定转速控制以降低系统对参数摄动、干扰和非线性因素的敏感度,修正由于磁通降低带来的电机转速波动问题.利用YVP-100电机参数实验表明,所提方案在额定转矩下,降低了约0.1kw的无功损耗,同时保证了电机转速/转矩的平稳输出.
Aiming at torque pulsation and speed fluctuation in energy saving control for mine hoist,fuzzy pre- compensated speed optimization scheme was proposed. A components power loss analysis was adopted to derive the induction motor loss model. An optimize air gap flux based on PSO（ Particle Swarm Optimization） was also introduced to ensure power saving.Fuzzy pre- compensated reference controller was employed to decrease speed fluctuation due to the changes in flux and to reduce sensitivity to nonlinear,disturbances and perturbations. With a YVP- 100 induction motor,experimental results show 0.1kw power saving with ensuring of performance optimization for torque and speed.
出处
《枣庄学院学报》
2015年第2期75-80,共6页
Journal of Zaozhuang University
基金
河南省教育厅科学技术研究重点项目(项目编号:14B120006)
河南工程学院博士科研启动基金(项目编号:D201213)
关键词
模糊逻辑
粒子群
损耗优化
异步电机1
fuzzy logic
particle swarm
loss minimization
asynchronous motor
