{"title":"机电变速箱作动器的控制设计","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":"{\"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}","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}
Control design of an electromechanical gearbox actuator
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.