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LMS CONTROL METHOD FOR LMS SYSTEM BASED ON LEARNING AND SIMULATION

机译:基于学习和仿真的LMS系统LMS控制方法

摘要

The present invention, a first step of collecting coil topology information composed of a plurality of coils from a servo drive; a second step of transmitting coil topology information to a physics simulator; The physical simulator includes: a third step of constructing a virtual coil topology corresponding to the real environment in the simulation environment by using the coil topology information; a fourth step of performing a test drive by traversing the coil topology with one mover; a fifth step of measuring a torque distribution value for each coil when the first mover passes each coil in the fourth step and transmitting the measured torque distribution value together with the current mover position value to a physical simulator; A sixth step of generating a torque profile for each coil by using the physical simulator as a position value of a mover and a torque distribution value for each coil; and a seventh step of generating a convoluted model by using the generated torque profile for each coil as input data of a torque model generator having a built-in neural network machine learning algorithm;
机译:本发明的第一步,第一步骤收集由伺服驱动器的多个线圈组成的线圈拓扑信息;将线圈拓扑信息传输到物理模拟器的第二步;物理模拟器包括:通过使用线圈拓扑信息构建与仿真环境中的真实环境相对应的虚拟线圈拓扑的第三步;通过将线圈拓扑与一个动器穿过线圈拓扑进行测试驱动的第四步;当第一动器在第四步骤中通过每个线圈时测量每个线圈的扭矩分布值的第五步骤,并将测量的扭矩分布值与电流器位置值一起传输到物理模拟器;通过使用物理模拟器作为动器的位置值和每个线圈的扭矩分布值来产生每个线圈的扭矩轮廓的第六步骤;并且通过使用针对每个线圈的产生的扭矩曲线作为具有内置神经网络机学习算法的扭矩模型发生器的输入数据来生成卷曲模型的第七步骤;

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