检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]吉林大学汽车仿真与控制国家重点实验室,长春130022
出 处:《吉林大学学报(工学版)》2015年第3期711-718,共8页Journal of Jilin University:Engineering and Technology Edition
基 金:'973'国家重点基础研究发展计划项目(2011CB711201);国防基础科研项目(B2220110006)
摘 要:为了提高电动助力转向系统中永磁同步电机的电流跟踪性能,采用了无差拍控制策略,但传统无差拍控制的稳定性和控制精度受系统延时和电机参数摄动及其他扰动的影响。因此,提出了一种基于扰动观测器的鲁棒预测电流控制(ARPCC)算法。该算法在无差拍控制基础上增加了电流观测器和扰动观测器,电流观测器预测电机电流,补偿控制延时,扰动观测器通过估计系统扰动提高电流观测和控制精度。仿真和试验结果表明:该算法可以显著提高电流跟踪的稳态性能和动态性能。The deadbeat control scheme is adopted to improve the current tracking performance of permanent magnet synchronous motor of electric power steering system. However, the stability and accuracy of traditional deadbeat control suffer from time delay, motor parameter perturbation and other disturbances. To overcome this problem, a prediction current control algorithm based on disturbance observer is proposed. The algorithm combines deadbeat control with a current observer and disturbance observer. The current observer estimates the future value of motor current and compensates the time delay; and the disturbance observer estimates the system disturbance to improve the current observation and control precision. Simulation and experiment results demonstrate that the proposed algorithm significantly improves the steady and dynamic performance of current tracking of the electric power steering system.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.137