Affiliation:
1. Department of Electrical Engineering, University of Singapore, Singapore
Abstract
Abstract
In this paper, a generalized predictive observer-controller (GPOC) is developed for injection moulding with input delay and non-measurable states. First, based on a general state-space model with time delay and subject to process disturbances, a generalized predictive control (GPC) is appropriately formulated with a steady-state Kalman filter. Second, important and useful closed-loop characteristics relating to the stability and robustness of the proposed controller are provided. Finally, the proposed scheme is applied to the injection moulding to improve the control performance.
Subject
Materials Chemistry,Industrial and Manufacturing Engineering,Polymers and Plastics,General Chemical Engineering
Cited by
2 articles.
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1. Neural-Network-Based Predictive Learning Control of Ram Velocity in Injection Molding;IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews);2004-08
2. Predictive Iterative Learning Control;Intelligent Automation & Soft Computing;2003-01