{"title":"机载风能系统自动抽水循环的参数空间在线轨迹优化","authors":"Kwang-Hee Han, Ick-Ho Whang, Won-Sang Ra","doi":"10.1007/s42835-024-02006-3","DOIUrl":null,"url":null,"abstract":"<p>This paper proposes a practical optimization algorithm for trajectory optimization in airborne wind energy system (AWES). Existing approaches generally implement optimal control approaches to handle model non-linearity and constraints. However, due to dynamic constraints in the optimal control problem, strongly non-convex objective function and numerous decision variables increase the complexity and computational burden of the optimization algorithm. To address this issue, an optimization algorithm with minimized decision variables is proposed based on a high-fidelity AWES model that incorporates a closed-loop flight control system. Utilizing the convex nature of the objective function, the Karush-Kuhn-Tucker (KKT) conditions are applied to derive optimality conditions. The decision variables are updated by a conjugate-descent algorithm with numerically approximated gradient. Computer simulations confirm the superiority of proposed algorithm in terms of computational efficiency and accuracy of the solution.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On-line Trajectory Optimization in Parameter Space for Automatic Pumping Cycle of Airborne Wind Energy System\",\"authors\":\"Kwang-Hee Han, Ick-Ho Whang, Won-Sang Ra\",\"doi\":\"10.1007/s42835-024-02006-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper proposes a practical optimization algorithm for trajectory optimization in airborne wind energy system (AWES). Existing approaches generally implement optimal control approaches to handle model non-linearity and constraints. However, due to dynamic constraints in the optimal control problem, strongly non-convex objective function and numerous decision variables increase the complexity and computational burden of the optimization algorithm. To address this issue, an optimization algorithm with minimized decision variables is proposed based on a high-fidelity AWES model that incorporates a closed-loop flight control system. Utilizing the convex nature of the objective function, the Karush-Kuhn-Tucker (KKT) conditions are applied to derive optimality conditions. The decision variables are updated by a conjugate-descent algorithm with numerically approximated gradient. Computer simulations confirm the superiority of proposed algorithm in terms of computational efficiency and accuracy of the solution.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-02006-3\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-02006-3","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
On-line Trajectory Optimization in Parameter Space for Automatic Pumping Cycle of Airborne Wind Energy System
This paper proposes a practical optimization algorithm for trajectory optimization in airborne wind energy system (AWES). Existing approaches generally implement optimal control approaches to handle model non-linearity and constraints. However, due to dynamic constraints in the optimal control problem, strongly non-convex objective function and numerous decision variables increase the complexity and computational burden of the optimization algorithm. To address this issue, an optimization algorithm with minimized decision variables is proposed based on a high-fidelity AWES model that incorporates a closed-loop flight control system. Utilizing the convex nature of the objective function, the Karush-Kuhn-Tucker (KKT) conditions are applied to derive optimality conditions. The decision variables are updated by a conjugate-descent algorithm with numerically approximated gradient. Computer simulations confirm the superiority of proposed algorithm in terms of computational efficiency and accuracy of the solution.
期刊介绍:
ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies.
The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.