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机构地区:[1]四川旅游学院信息技术系,成都610100 [2]四川文理学院计算机学院,四川达州635000
出 处:《西南师范大学学报(自然科学版)》2015年第1期96-101,共6页Journal of Southwest China Normal University(Natural Science Edition)
基 金:四川省教育厅2014年度一般项目(14ZB0315)
摘 要:为避免人和物在电动车窗玻璃上升过程中被夹伤,研究了一种面向工程应用的电动车窗防夹控制算法.首先应用滑模估计器对电动车窗不确定的外部扰动力矩进行估计,然后根据实验确定摩擦力矩的特性,并结合频谱分析结果,探讨了将摩擦力矩从估计出的外部扰动力矩中分离出来的方法,提高了对路面干扰力矩和障碍物阻挡力矩的估计精度,进而给出了一种新的车窗防夹算法.实验结果表明,该方法可行、有效,具有计算速度快、易于实现、占用内存少等优点,便于工程应用.To avoid injury to people and damage to articles caused by pitch of the electric mobile window during its rising,apractical anti-pitch control algorithm is researched.Firstly,the sliding formwork estimator is adopted to make estimation to the unconfirmed external disturbance moment of the electric mobile window,and then the characteristics of the friction moment are confirmed by experiment,and a method to separate the friction moment away from the estimated disturbance moment has been studied,so the estimation of road surface disturbance moment and barrier obstruction moment becomes more accurate,and thus a new window anti-pitch algorithm is given.The experiment results have proved that this method is feasible and effective,and it is rapid in computation,easy to be achieved and takes little memory,so it is adaptive to the engineering application.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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