Wenqi Hou, Honglei An, Taihui Zhang, Jian Wang, Hongxu Ma
{"title":"Robust walking control of a planar spring mass biped robot","authors":"Wenqi Hou, Honglei An, Taihui Zhang, Jian Wang, Hongxu Ma","doi":"10.1109/ICCAR.2015.7166007","DOIUrl":null,"url":null,"abstract":"The variable spring-loaded inverted pendulum (V-SLIP) model captures characteristic properties of the hip or COM motion in human locomotion. A control strategy consists of a leg stiffness controller and a foot placement controller is proposed for a biped walker. Some restrictions are considered in the control strategy, e.g. the friction and the ability of the actuator. A novel trajectory function is designed for stance phase control. The function not only can approximate the nominal trajectory with error in the order of sub-millimeter, but also can preserve the restriction on vertical velocity in spite of the horizontal velocity. To validate the control strategy and the trajectory function, simulations are implemented on a virtual ideal biped walker. The walker starts walking with a low velocity, by taking a few steps it comes to the desired walking cycle. With the proposed control strategy the walker is able to recover from a disturbance up to 20 N*m.","PeriodicalId":422587,"journal":{"name":"2015 International Conference on Control, Automation and Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Control, Automation and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR.2015.7166007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The variable spring-loaded inverted pendulum (V-SLIP) model captures characteristic properties of the hip or COM motion in human locomotion. A control strategy consists of a leg stiffness controller and a foot placement controller is proposed for a biped walker. Some restrictions are considered in the control strategy, e.g. the friction and the ability of the actuator. A novel trajectory function is designed for stance phase control. The function not only can approximate the nominal trajectory with error in the order of sub-millimeter, but also can preserve the restriction on vertical velocity in spite of the horizontal velocity. To validate the control strategy and the trajectory function, simulations are implemented on a virtual ideal biped walker. The walker starts walking with a low velocity, by taking a few steps it comes to the desired walking cycle. With the proposed control strategy the walker is able to recover from a disturbance up to 20 N*m.