{"title":"Tuning the controller gains using sensitivity analysis","authors":"Anil Kumar Pal, Sunil Kumar, Shyam Kamal, Henry Leung, Xiaogang Xiong","doi":"10.1002/asjc.3504","DOIUrl":null,"url":null,"abstract":"<p>This paper tries to solve the general problem of controller gain tuning. To that end, sensitivity analysis has been utilized. The study provides vital results to extend the usage of sensitivity analysis for the class of finite-time stable dynamics. The controller gain tuning procedure is elaborated by considering the examples of state feedback control and predefined time control. An insight into the selection of the gains or system parameters for these class of systems is presented with the help of sensitivity analysis. The sensitivity of the solution for these class of systems with the variation in the gains or system parameters is studied. Having know-how about the adjustment of these system gains or parameters will be beneficial from the point of view of practical applications. Thus, the proposed approach finds utility in controller gain tuning, which is an important aspect of control design.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1135-1150"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3504","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper tries to solve the general problem of controller gain tuning. To that end, sensitivity analysis has been utilized. The study provides vital results to extend the usage of sensitivity analysis for the class of finite-time stable dynamics. The controller gain tuning procedure is elaborated by considering the examples of state feedback control and predefined time control. An insight into the selection of the gains or system parameters for these class of systems is presented with the help of sensitivity analysis. The sensitivity of the solution for these class of systems with the variation in the gains or system parameters is studied. Having know-how about the adjustment of these system gains or parameters will be beneficial from the point of view of practical applications. Thus, the proposed approach finds utility in controller gain tuning, which is an important aspect of control design.
期刊介绍：
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.
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