{"title":"采用状态空间PID控制器设计涡流制动器测功机控制系统","authors":"Tirta Nahari, E. Joelianto, Suyatman","doi":"10.1109/CCSII.2012.6470494","DOIUrl":null,"url":null,"abstract":"Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An eddy brakes dynamometer control system design using state space based PID controller\",\"authors\":\"Tirta Nahari, E. Joelianto, Suyatman\",\"doi\":\"10.1109/CCSII.2012.6470494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.\",\"PeriodicalId\":389895,\"journal\":{\"name\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSII.2012.6470494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Control, Systems & Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSII.2012.6470494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
测功机是一种用于发动机测试的汽车设备。从该测试中,可以获得发动机的功率、扭矩和排放等信息,用于设计和分析。考虑涡流制动测功机,因为它相当有效和可控。为了设计基于状态空间方法的制动控制系统,需要建立状态空间模型。采用ADALINE (Adaptive Linear Network)方法从输入输出数据中识别系统的状态空间模型。然后采用Ackerman极点布置法选择合适的参数,应用基于状态空间的PID控制器。仿真和实验结果表明,闭环响应满足设计要求。
An eddy brakes dynamometer control system design using state space based PID controller
Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.