{"title":"Discrete-Time Prescribed Performance Control of an Air-Vehicle’s Seeker Stabilized Platform","authors":"Xiangwei Bu;Zongcheng Liu","doi":"10.1109/JMASS.2023.3278569","DOIUrl":null,"url":null,"abstract":"Most of the existing prescribed performance control (PPC) methodologies are developed in the continuous-time domain. In this article, a discrete-time PPC (DPPC) strategy is investigated for an air-vehicle’s seeker stabilized platform. Unlike the existing DPPC whose convergence time drifts with the sampling time, the proposed controller is able to guarantee tracking errors with fixed convergence time via devising a new discrete-time performance function, which improves the engineering practicability. Moreover, a new disturbance observer is constructed to estimate both system uncertainties and external disturbances. In addition, the backstepping procedure is used to design a DPPC approach for the sake of stabilizing transformed errors. This endows tracking errors with desired fixed-time prescribed performance. Finally, the efficiency of design is verified via compared simulations.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"267-273"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Miniaturization for Air and Space Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10130441/","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
Most of the existing prescribed performance control (PPC) methodologies are developed in the continuous-time domain. In this article, a discrete-time PPC (DPPC) strategy is investigated for an air-vehicle’s seeker stabilized platform. Unlike the existing DPPC whose convergence time drifts with the sampling time, the proposed controller is able to guarantee tracking errors with fixed convergence time via devising a new discrete-time performance function, which improves the engineering practicability. Moreover, a new disturbance observer is constructed to estimate both system uncertainties and external disturbances. In addition, the backstepping procedure is used to design a DPPC approach for the sake of stabilizing transformed errors. This endows tracking errors with desired fixed-time prescribed performance. Finally, the efficiency of design is verified via compared simulations.