Yang, Z, Yang, Z, Li, K orcid.org/0000-0001-6657-0522 et al. (2 more authors) (2017) Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes. In: Yue, D, Peng, C, Du, D, Zhang, T, Zheng, M and Han, Q, (eds.) Intelligent Computing, Networked Control, and Their Engineering Applications. LSMS 2017: International Conference on Life System Modeling and Simulation and ICSEE 2017: International Conference on Intelligent Computing for Sustainable Energy and Environment, 22-24 Sep 2017, Nanjing, China. Springer , pp. 262-271. ISBN 978-981-10-6372-5
Abstract
The injection stretch blow moulding (ISBM) process is widely used to manufacture plastic bottles for the beverage and consumer goods industry. The majority of the production processes are open-loop systems, often suffering from high raw material and energy waste. In this paper, a heuristic based norm-optimal terminal iterative learning control (ILC) method is proposed to control the preform temperature profiles in the reheating process. The reheating process is a batch process, and ILC can achieve improved tracking performance in a fixed time interval. The terminal ILC (TILC) is a useful strategy when only the terminal temperature profile can be measured in a batch process like the preform reheating in ISBM. To balance the control performance and energy cost, a norm-optimal method is applied, leading to a proposal of the new norm-optimal TILC method in this paper. Heuristic methods including the swarm optimisation (PSO), differential evolution (DE) and teaching-learning based optimization (TLBO) are used to calculate the sequence of norm-optimal control inputs for this non-linear batch process. Simulation results confirm the efficacy of the proposed control strategy.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Iterative learning control; Reheating process; Temperature control; Heuristic optimisation method |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Nov 2018 11:26 |
Last Modified: | 06 Mar 2019 14:24 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-981-10-6373-2_27 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139092 |