{"title":"Improvement of tracking control performance of quadrotors under Simultaneous Planning, Estimation, and Execution","authors":"Zhou Liu , Shaoting Liu , Yang Qu , Lilong Cai","doi":"10.1016/j.conengprac.2025.106360","DOIUrl":null,"url":null,"abstract":"<div><div>The dynamics of quadrotors present significant challenges, including underactuation, external disturbances, and parametric uncertainties. To address these challenges and achieve precise given-time tracking, this paper propose a novel control strategy called Simultaneous Planning, Estimation, and Execution (SPEE) for quadrotor systems. The SPEE strategy integrates dynamic and kinematic equations. Initially, the kinematic equations planning the desired higher-order derivative online to compensate for current state errors. Subsequently, the dynamics equation estimates lumped disturbances and executes the desired higher-order derivative algebraically. Unlike traditional control methods, the proposed strategy eliminates the need for fine-tuning feedback gains and a precise system model, ensuring state convergence within a specified time frame. Theoretical error bounds of this strategy are analyzed, and its effectiveness is validated through comprehensive simulations and practical experiments. The closed-loop system demonstrates robust performance against internal uncertainties, external disturbances, and insufficient battery power.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"162 ","pages":"Article 106360"},"PeriodicalIF":5.4000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066125001236","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
The dynamics of quadrotors present significant challenges, including underactuation, external disturbances, and parametric uncertainties. To address these challenges and achieve precise given-time tracking, this paper propose a novel control strategy called Simultaneous Planning, Estimation, and Execution (SPEE) for quadrotor systems. The SPEE strategy integrates dynamic and kinematic equations. Initially, the kinematic equations planning the desired higher-order derivative online to compensate for current state errors. Subsequently, the dynamics equation estimates lumped disturbances and executes the desired higher-order derivative algebraically. Unlike traditional control methods, the proposed strategy eliminates the need for fine-tuning feedback gains and a precise system model, ensuring state convergence within a specified time frame. Theoretical error bounds of this strategy are analyzed, and its effectiveness is validated through comprehensive simulations and practical experiments. The closed-loop system demonstrates robust performance against internal uncertainties, external disturbances, and insufficient battery power.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.