{"title":"球面倒立摆飞行的视觉控制","authors":"Soukaina Krafes, Z. Chalh, A. Saka","doi":"10.1109/ICOA.2018.8370509","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to control a spherical inverted pendulum on a quadrotor as a control actuator. The system is modeled using Euler Lagrange formulation considering both the dynamics. And due to the absence of sensors, that can measure states at the ball joints, we propose to use a vision system that will be placed over the Quadrotor in order to determinate the position of the pendulum. For the nonlinear control design, a three-level cascade strategy is proposed. Each level of the cascade system executes a control law designed through the method of backstepping. Simulation results are carried out to corroborate the proposed control strategy using Matlab/Simulink and the Virtual Reality Environment.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Vision-based control of a flying spherical inverted pendulum\",\"authors\":\"Soukaina Krafes, Z. Chalh, A. Saka\",\"doi\":\"10.1109/ICOA.2018.8370509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to control a spherical inverted pendulum on a quadrotor as a control actuator. The system is modeled using Euler Lagrange formulation considering both the dynamics. And due to the absence of sensors, that can measure states at the ball joints, we propose to use a vision system that will be placed over the Quadrotor in order to determinate the position of the pendulum. For the nonlinear control design, a three-level cascade strategy is proposed. Each level of the cascade system executes a control law designed through the method of backstepping. Simulation results are carried out to corroborate the proposed control strategy using Matlab/Simulink and the Virtual Reality Environment.\",\"PeriodicalId\":433166,\"journal\":{\"name\":\"2018 4th International Conference on Optimization and Applications (ICOA)\",\"volume\":\"318 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Optimization and Applications (ICOA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOA.2018.8370509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vision-based control of a flying spherical inverted pendulum
The aim of this paper is to control a spherical inverted pendulum on a quadrotor as a control actuator. The system is modeled using Euler Lagrange formulation considering both the dynamics. And due to the absence of sensors, that can measure states at the ball joints, we propose to use a vision system that will be placed over the Quadrotor in order to determinate the position of the pendulum. For the nonlinear control design, a three-level cascade strategy is proposed. Each level of the cascade system executes a control law designed through the method of backstepping. Simulation results are carried out to corroborate the proposed control strategy using Matlab/Simulink and the Virtual Reality Environment.