{"title":"Tuning of two-DOF-FOPID controller for magnetic levitation system: A multi-objective optimization approach","authors":"Prashant J. Gaidhane, Anupam Kumar, M. Nigam","doi":"10.1109/CERA.2017.8343377","DOIUrl":null,"url":null,"abstract":"This paper presents a simple design and parameters tuning approach using multi-objective optimization of two-degree of freedom fractional order proportional-integralderivative (2-DOF-FOPID) controller applied to magnetic levitation system. A multi-objective optimization of various controller parameters is achieved through nondominated sorting genetic algorithm (NSGA-II). The minimization of performance index integrated absolute error (IAE) for both set-point tracking and external disturbance rejection are considered as the objective functions. A generated Pareto optimal solution set is examined and final most reasonable solution is obtained using Nash solution criteria. The comparative performance evaluation of proposed 2-DOF-FOPID controller is assessed against 1-DOF-FOPID and classical PID controllers. The effectiveness of controller for setpoint tracking and rejection of external disturbances is exhibited through proper simulation results and found that the proposed 2-DOF-FOPID controller produces superior results than its conventional counterparts.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERA.2017.8343377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents a simple design and parameters tuning approach using multi-objective optimization of two-degree of freedom fractional order proportional-integralderivative (2-DOF-FOPID) controller applied to magnetic levitation system. A multi-objective optimization of various controller parameters is achieved through nondominated sorting genetic algorithm (NSGA-II). The minimization of performance index integrated absolute error (IAE) for both set-point tracking and external disturbance rejection are considered as the objective functions. A generated Pareto optimal solution set is examined and final most reasonable solution is obtained using Nash solution criteria. The comparative performance evaluation of proposed 2-DOF-FOPID controller is assessed against 1-DOF-FOPID and classical PID controllers. The effectiveness of controller for setpoint tracking and rejection of external disturbances is exhibited through proper simulation results and found that the proposed 2-DOF-FOPID controller produces superior results than its conventional counterparts.