{"title":"机械臂直流电机多学科位置控制方法的仿真研究","authors":"Mohammad M. Ali, Ali Al-Khawaldeh","doi":"10.1109/SSD.2016.7473702","DOIUrl":null,"url":null,"abstract":"This paper presents a simulation study using different control strategies to control the position of robot arm DC motor. Fixed field DC motor mathematical model is applied using certain parameters settings. A state feedback pole placement, Fuzzy Logic, Multi-Layer Perceptron (MLP) Neural Network, and the conventional PID control theories have been applied successfully. Matlab Simulink work space is used in the simulation. Almost the same controlled output responses are obtained with a different transient responses speed.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A simulation study of multi-disciplinary position control methods of robot arm D.C motor\",\"authors\":\"Mohammad M. Ali, Ali Al-Khawaldeh\",\"doi\":\"10.1109/SSD.2016.7473702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simulation study using different control strategies to control the position of robot arm DC motor. Fixed field DC motor mathematical model is applied using certain parameters settings. A state feedback pole placement, Fuzzy Logic, Multi-Layer Perceptron (MLP) Neural Network, and the conventional PID control theories have been applied successfully. Matlab Simulink work space is used in the simulation. Almost the same controlled output responses are obtained with a different transient responses speed.\",\"PeriodicalId\":149580,\"journal\":{\"name\":\"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD.2016.7473702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2016.7473702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simulation study of multi-disciplinary position control methods of robot arm D.C motor
This paper presents a simulation study using different control strategies to control the position of robot arm DC motor. Fixed field DC motor mathematical model is applied using certain parameters settings. A state feedback pole placement, Fuzzy Logic, Multi-Layer Perceptron (MLP) Neural Network, and the conventional PID control theories have been applied successfully. Matlab Simulink work space is used in the simulation. Almost the same controlled output responses are obtained with a different transient responses speed.
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