摘要
为了研究矿井提升机转子速度与系统所受载荷的耦合特性,以矿井提升机传动系统整体为研究对象,以传递矩阵法的假设为依据,简化得到两自由度与三自由度物理模型,运用拉格朗日方程分别建立了其动力学数学模型,通过Matlab/Simulink仿真研究载荷与动力学特性耦合关系,最后构建了遗传算法优化的支持向量机模型,并探索了应用遗传算法优化的支持向量机模型辨识载荷的方法,对驱动力矩、制动力矩辨识载荷的相关系数分别为0.99445与0.98916,回归性能良好,表明了辨识载荷的有效性。
In order to study the mine hoist coupling characteristics between the rotor speed signal and the load of the system,regarding the mine hoist drive system as a whole object of the study,basing on hypothesis of transfer matrix method,the physical model with two-degree and three-degree is simplified. Their dynamic mathematical models are calculated with Lagrange equation. Then,the relationship between the load and dynamic characteristic is studied by Matlab/Simulink. Finally,the GA-SVM model is build,and the method of the load identification is explored by GA-SVM model. The correlation coefficient of the driving torque identification is 0.99445,the braking torque identification is 0.98916. The regression performance is well,the validity of the load identification is indicated.
出处
《机械设计与制造》
北大核心
2018年第3期10-12,共3页
Machinery Design & Manufacture
基金
国家自然科学基金(51475318)
