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作 者:杨芳 徐爽 陈阳 Yang Fang;Xu Shuang;Chen Yang(Department of Electrical Engineering,Xuchang Electrical Vocational College,Xuchang Henan 461000,China)
机构地区:[1]许昌电气职业学院电气工程系,河南许昌461000
出 处:《机械管理开发》2024年第10期36-37,40,共3页Mechanical Management and Development
摘 要:火力发电机的控制精度对提高发电效率具有很大的影响。为了进一步提高火力发电机三环(位置环,速度环和电流环)遗传控制精度,选择遗传算法来整定主轴参数。在辨识参数对变增益PI控制的基础上,通过设置惯性权重系数来实现收敛速度。从直线信号方面开展进给测试,促进了跟随性能的显著提升。研究结果表明:进给状态下获得了更低跟随误差,表现出了更优的跟随性能。相对人工经验方法,三环遗传控制方法的绝对误差极值和绝对误差积分降低了30%左右,对跟随误差达到了更优跟随性能,提升了跟随性能。该研究有助于提高火力发电机控制精度,也可拓宽到其他类型的电机控制领域。The control accuracy of thermal generator has a great influence on the improvement of power generation efficiency.In order to further improve the accuracy of genetic control of three rings(position ring,velocity ring and current ring)of thermal generator,genetic algorithm is selected to adjust the spindle parameters.On the basis of identifying parameters to variable gain PI control,the convergence speed is realized by setting the inertia weight coefficient.The following performance is significantly improved by conducting the feed test from the aspect of linear signal.The results show that the following error is lower and the following performance is better under the feed condition.Compared with the manual experience method,the absolute error extremum and absolute error integral of the three-ring genetic control method are reduced by about 30%,and the following error is better and the following performance is improved.This research is helpful to improve the control accuracy of thermal generator and can be extended to other types of motor control fields.
分 类 号:TP27[自动化与计算机技术—检测技术与自动化装置]
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