{"title":"Control design of an electromechanical gearbox actuator","authors":"Bálint Juhász, Ádám Szabó, Tamás Bécsi, S. Aradi","doi":"10.1109/INES49302.2020.9147200","DOIUrl":null,"url":null,"abstract":"This paper deals with the control design of an electromechanical shift actuator. First, to provide an environment where the controllers can be tuned and compared, a nonlinear model has been developed, then a linear state-space representation of the system has been derived. Besides tracking of a reference signal with high accuracy, the control design must consider the limitations of a typical, commercial actuator control unit, in particular real-time applicability. To achieve the controlling aims, a symmetric, optimum based, cascaded PID, a Linear Quadratic Regulator, a Linear Quadratic Gaussian controller, and a Model Predictive Controller have been developed. Three of the four developed methods can meet the given requirements. However, there are significant differences regarding the run-time of the algorithms.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES49302.2020.9147200","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
This paper deals with the control design of an electromechanical shift actuator. First, to provide an environment where the controllers can be tuned and compared, a nonlinear model has been developed, then a linear state-space representation of the system has been derived. Besides tracking of a reference signal with high accuracy, the control design must consider the limitations of a typical, commercial actuator control unit, in particular real-time applicability. To achieve the controlling aims, a symmetric, optimum based, cascaded PID, a Linear Quadratic Regulator, a Linear Quadratic Gaussian controller, and a Model Predictive Controller have been developed. Three of the four developed methods can meet the given requirements. However, there are significant differences regarding the run-time of the algorithms.