{"title":"Hexacopter Flight Performance Comparison with CCA vs. WCA Control Allocation","authors":"G. Ducard, Philipp Kryenbühl","doi":"10.1109/MED48518.2020.9183324","DOIUrl":null,"url":null,"abstract":"This paper presents an extensive discussion between two control allocation methods for hexacopters. The first one is the so-called classical control allocation (CCA) based on a pseudo-inverse matrix, and the second one is the weighted control allocation (WCA) based on a weighted pseudo-inverse matrix. Control allocation is about mapping the virtual control vector $\\nu=[T,\\ L,\\ M,\\ N]^{\\top}$ made of thrust and roll, pitch and yaw torque, respectively, to the individual motors' speed. The CCA method is studied under motor saturation circumstances, in which CCA can lead to a crash. The WCA method on the other hand displays better performance than CCA for: a) motor saturation, b) vehicle's mass changes, 3) flight-controller poorly-tuned parameters, and 4) motor-fault tolerance. The performance comparison between these two control allocation techniques is made through simulations and real-flight tests.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 28th Mediterranean Conference on Control and Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED48518.2020.9183324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents an extensive discussion between two control allocation methods for hexacopters. The first one is the so-called classical control allocation (CCA) based on a pseudo-inverse matrix, and the second one is the weighted control allocation (WCA) based on a weighted pseudo-inverse matrix. Control allocation is about mapping the virtual control vector $\nu=[T,\ L,\ M,\ N]^{\top}$ made of thrust and roll, pitch and yaw torque, respectively, to the individual motors' speed. The CCA method is studied under motor saturation circumstances, in which CCA can lead to a crash. The WCA method on the other hand displays better performance than CCA for: a) motor saturation, b) vehicle's mass changes, 3) flight-controller poorly-tuned parameters, and 4) motor-fault tolerance. The performance comparison between these two control allocation techniques is made through simulations and real-flight tests.