Fatemeh Khorsand, R. Shahnazi, Esmaeil Fallah Choulabi
{"title":"Optimal integral sliding mode for speed control of permanent magnet synchronous motor","authors":"Fatemeh Khorsand, R. Shahnazi, Esmaeil Fallah Choulabi","doi":"10.1109/ICCIAUTOM.2017.8258671","DOIUrl":null,"url":null,"abstract":"In this paper, optimal integral sliding mode controller is proposed to control the speed of permanent magnet synchronous motor (PMSM). The conventional sliding mode speed controller and the sliding mode controller with variable switching gain are considered. To increase the robustness of both controllers integral sliding surface is used. Although, these methods can guarantee asymptotic stability and satisfactory performance of the closed-loop system, it suffers from nonoptimality and no saturation limit for q-axis reference current. In order to solve the non-optimality problem in the presence of saturation limit for q-axis reference current all the parameters of both controllers are derived via particle swarm optimization (PSO) algorithm in order to minimize an appropriate cost function. Compared with the conventional optimal PI controller, numerical simulations of the proposed schemes show a remarkably better improvement in performance and robustness in the presence of saturation in q-axis current, unknown parametric drifts and unknown load torque.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2017.8258671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, optimal integral sliding mode controller is proposed to control the speed of permanent magnet synchronous motor (PMSM). The conventional sliding mode speed controller and the sliding mode controller with variable switching gain are considered. To increase the robustness of both controllers integral sliding surface is used. Although, these methods can guarantee asymptotic stability and satisfactory performance of the closed-loop system, it suffers from nonoptimality and no saturation limit for q-axis reference current. In order to solve the non-optimality problem in the presence of saturation limit for q-axis reference current all the parameters of both controllers are derived via particle swarm optimization (PSO) algorithm in order to minimize an appropriate cost function. Compared with the conventional optimal PI controller, numerical simulations of the proposed schemes show a remarkably better improvement in performance and robustness in the presence of saturation in q-axis current, unknown parametric drifts and unknown load torque.