Please use this identifier to cite or link to this item:
https://doi.org/10.1016/S0952-1976(02)00032-5
DC Field | Value | |
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dc.title | Learning-enhanced PI control of ram velocity in injection molding machines | |
dc.contributor.author | Tan, K.K. | |
dc.contributor.author | Tang, J.C. | |
dc.date.accessioned | 2014-06-17T02:55:05Z | |
dc.date.available | 2014-06-17T02:55:05Z | |
dc.date.issued | 2002-02 | |
dc.identifier.citation | Tan, K.K., Tang, J.C. (2002-02). Learning-enhanced PI control of ram velocity in injection molding machines. Engineering Applications of Artificial Intelligence 15 (1) : 65-72. ScholarBank@NUS Repository. https://doi.org/10.1016/S0952-1976(02)00032-5 | |
dc.identifier.issn | 09521976 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/56483 | |
dc.description.abstract | This paper presents the development of a new learning enhanced PI control method for cyclical control of the ram velocity in injection molding machines. The overall structure of the control consists of a feedback and a feedforward component. The PI feedback control stabilizes the system, and the feedforward component incorporates an iterative learning control (ILC) algorithm to compensate for nonlinear/unknown dynamics and disturbances, thereby enhancing the performance achievable with feedback control alone. A simple and effective tuning method is further developed for the composite control structure which yields both the PI and ILC gains given only a first-order model. A nonlinear physical model derived for the process serves as the basis for the simulation study of the proposed control scheme. A comparison of the performance achieved with an optimally tuned PI control is also provided to highlight the advantages of the proposed control scheme. © 2002 Elsevier Science Ltd. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0952-1976(02)00032-5 | |
dc.source | Scopus | |
dc.subject | Injection molding | |
dc.subject | Iterative learning control | |
dc.subject | Nonlinear systems | |
dc.subject | PI control | |
dc.subject | Tracking control | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1016/S0952-1976(02)00032-5 | |
dc.description.sourcetitle | Engineering Applications of Artificial Intelligence | |
dc.description.volume | 15 | |
dc.description.issue | 1 | |
dc.description.page | 65-72 | |
dc.description.coden | EAAIE | |
dc.identifier.isiut | 000177546600007 | |
Appears in Collections: | Staff Publications |
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