控制理论与应用Issue(12)：1740-1747,8.DOI:10.7641/CTA.2014.40800
基于迭代学习的电动负载模拟器复合控制
Composite control for electric load simulator based on iterative learning
摘要
Abstract
A composite torque controller combining iterative learning control and the feedforward compensation of a rudder angle was built for an electric load simulator in order to increase loading accuracy. The spring beam was used to improve the system stability and the loading accuracy, and constraints to the stiffness coefficient of the spring beam were analyzed based on system response speed, frequency width and stability. The mathematical models of plants were established, and three close loops were used. The feedforward compensation of the rudder angular displacement was introduced into the torque controller. The iterative learning controller was designed by modifying the magnitude and the phase of the command torque to improve loading effects, and P-type iterative learning controller was used. Finally, experiments of loading torque and testing the extraneous torque were performed, and experiment results proved that this controller is effective in achieving a perfect torque tracking accuracy and restraining the extraneous torque for electric load simulators.关键词
电动负载模拟器/迭代学习控制/力矩控制/前馈补偿/弹性杆/多余力矩Key words
electric load simulator/iterative learning control/torque control/feedforward compensation/spring beam/extraneous torque分类
信息技术与安全科学引用本文复制引用
牛国臣,王巍,宗光华..基于迭代学习的电动负载模拟器复合控制[J].控制理论与应用,2014,(12):1740-1747,8.基金项目
国家自然科学基金资助项目(51175011) （51175011）
