Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0952-1976(02)00032-5
Title: Learning-enhanced PI control of ram velocity in injection molding machines
Authors: Tan, K.K. 
Tang, J.C.
Keywords: Injection molding
Iterative learning control
Nonlinear systems
PI control
Tracking control
Issue Date: Feb-2002
Source: 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
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.
Source Title: Engineering Applications of Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/56483
ISSN: 09521976
DOI: 10.1016/S0952-1976(02)00032-5
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