{"title":"非对称四轴飞行器的进化控制系统","authors":"Hazim Albedran, K. Jármai","doi":"10.1556/1848.2022.00584","DOIUrl":null,"url":null,"abstract":"Drones, specifically quadcopters, have increased in importance during the last years due to their wide range of applications, from civil applications to military employment. One of the most important issues in quadcopters is the efficient control system. While many researchers have dealt with building control systems for symmetric quadcopters, this work presents an efficient control system for asymmetric quadcopters using evolutionary computations. The problem is well-defined throughout the paper, and the methodology is explained in detail in the respective sections. A genetic algorithm is used to tune the weighting matrix of the control system after formulating the control system as an optimization problem. The genetic algorithm was fast and active to increase the performance of the proposed system.","PeriodicalId":37508,"journal":{"name":"International Review of Applied Sciences and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolutionary control system of asymmetric quadcopter\",\"authors\":\"Hazim Albedran, K. Jármai\",\"doi\":\"10.1556/1848.2022.00584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drones, specifically quadcopters, have increased in importance during the last years due to their wide range of applications, from civil applications to military employment. One of the most important issues in quadcopters is the efficient control system. While many researchers have dealt with building control systems for symmetric quadcopters, this work presents an efficient control system for asymmetric quadcopters using evolutionary computations. The problem is well-defined throughout the paper, and the methodology is explained in detail in the respective sections. A genetic algorithm is used to tune the weighting matrix of the control system after formulating the control system as an optimization problem. The genetic algorithm was fast and active to increase the performance of the proposed system.\",\"PeriodicalId\":37508,\"journal\":{\"name\":\"International Review of Applied Sciences and Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Applied Sciences and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1556/1848.2022.00584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Applied Sciences and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1556/1848.2022.00584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
Evolutionary control system of asymmetric quadcopter
Drones, specifically quadcopters, have increased in importance during the last years due to their wide range of applications, from civil applications to military employment. One of the most important issues in quadcopters is the efficient control system. While many researchers have dealt with building control systems for symmetric quadcopters, this work presents an efficient control system for asymmetric quadcopters using evolutionary computations. The problem is well-defined throughout the paper, and the methodology is explained in detail in the respective sections. A genetic algorithm is used to tune the weighting matrix of the control system after formulating the control system as an optimization problem. The genetic algorithm was fast and active to increase the performance of the proposed system.
期刊介绍:
International Review of Applied Sciences and Engineering is a peer reviewed journal. It offers a comprehensive range of articles on all aspects of engineering and applied sciences. It provides an international and interdisciplinary platform for the exchange of ideas between engineers, researchers and scholars within the academy and industry. It covers a wide range of application areas including architecture, building services and energetics, civil engineering, electrical engineering and mechatronics, environmental engineering, mechanical engineering, material sciences, applied informatics and management sciences. The aim of the Journal is to provide a location for reporting original research results having international focus with multidisciplinary content. The published papers provide solely new basic information for designers, scholars and developers working in the mentioned fields. The papers reflect the broad categories of interest in: optimisation, simulation, modelling, control techniques, monitoring, and development of new analysis methods, equipment and system conception.