{"title":"The effect of link flexibility on planar manipulators using an adaptive tracking controller","authors":"S. Hwang","doi":"10.1504/IJCAT.1996.062298","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to propose a general method for finding the effects of flexible links on the tracking performances using adaptive tracking controllers (ATC). The Lagrange–Euler equation is used to formulate the dynamic equations of motion. The equations of motion of the flexible manipulator in a vector–matrix form are coupled, nonlinear, and second–order differential equations. To obtain the effects of the flexible links on the controller, a rigid–based ATC is used to control a rigid, and its equivalent flexible, dynamic model, respectively. The proposed method has no limitation on the number of links used. Two existing model reference adaptive control techniques, the gradient approach by using the modified MIT (MMIT) rule and the exact matching (EM), are applied. The exact matching adaptation mechanism is used in this study as a comparative reference for the tracking performance. Numerical simulation results indicate that the gradient approach has superior performance over other designs. The proposed method can be used as a design tool to reduce the weight of a manipulator to improve the efficiency. The method is not just for the adaptive controls, but it also can be used in any state space control schemes. A comparison of the tracking performance is also made for the MIT rule and the modified MIT rule.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":"48 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2014-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCAT.1996.062298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this paper is to propose a general method for finding the effects of flexible links on the tracking performances using adaptive tracking controllers (ATC). The Lagrange–Euler equation is used to formulate the dynamic equations of motion. The equations of motion of the flexible manipulator in a vector–matrix form are coupled, nonlinear, and second–order differential equations. To obtain the effects of the flexible links on the controller, a rigid–based ATC is used to control a rigid, and its equivalent flexible, dynamic model, respectively. The proposed method has no limitation on the number of links used. Two existing model reference adaptive control techniques, the gradient approach by using the modified MIT (MMIT) rule and the exact matching (EM), are applied. The exact matching adaptation mechanism is used in this study as a comparative reference for the tracking performance. Numerical simulation results indicate that the gradient approach has superior performance over other designs. The proposed method can be used as a design tool to reduce the weight of a manipulator to improve the efficiency. The method is not just for the adaptive controls, but it also can be used in any state space control schemes. A comparison of the tracking performance is also made for the MIT rule and the modified MIT rule.
期刊介绍:
IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems