{"title":"Generic Homotopic Smoothing for Low-Thrust Optimal Control Problems With Power Constraints","authors":"Qian Xiao;Lincheng Li;Jingrui Zhang;Ming Xu","doi":"10.1109/TCST.2024.3370908","DOIUrl":null,"url":null,"abstract":"This brief is devoted to the power-constrained low-thrust optimal control problem (OCP). First, a general model for a class of power constraints is proposed by defining a piecewise smooth function, which describes the discontinuities of the control system. Subsequently, a recursive smoothing function is proposed to smooth the generalized discontinuous terms leading to a family of smooth OCPs, whose solutions converge to the solution of the discontinuous power-constrained OCP. The distinguished feature is that the variations of the control bound, caused by the power constraints, are embedded into the smoothing function, and are retrieved gradually. Consequently, the constrained and unconstrained OCPs are seamlessly connected, allowing an easy start and convergence improvement of the continuation. Moreover, a homotopy is constructed to guarantee a smooth connection, providing a differential homotopy path-tracking process. Finally, by comparing with the existing methods, typical scenarios are simulated to demonstrate the convergence improvement and efficiency of the proposed generic homotopic smoothing method.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 4","pages":"1487-1494"},"PeriodicalIF":4.9000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control Systems Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10462669/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This brief is devoted to the power-constrained low-thrust optimal control problem (OCP). First, a general model for a class of power constraints is proposed by defining a piecewise smooth function, which describes the discontinuities of the control system. Subsequently, a recursive smoothing function is proposed to smooth the generalized discontinuous terms leading to a family of smooth OCPs, whose solutions converge to the solution of the discontinuous power-constrained OCP. The distinguished feature is that the variations of the control bound, caused by the power constraints, are embedded into the smoothing function, and are retrieved gradually. Consequently, the constrained and unconstrained OCPs are seamlessly connected, allowing an easy start and convergence improvement of the continuation. Moreover, a homotopy is constructed to guarantee a smooth connection, providing a differential homotopy path-tracking process. Finally, by comparing with the existing methods, typical scenarios are simulated to demonstrate the convergence improvement and efficiency of the proposed generic homotopic smoothing method.
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.