Heuristic based terminal iterative learning control of ISBM reheating processes

Ziqi Yang, Zhile Yang*, Kang Li, Wasif Naeem, Kailong Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIntelligent Computing, Networked Control, and Their Engineering Applications - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017: Proceedings
EditorsDong Yue, Tengfei Zhang, Chen Peng, Dajun Du, Min Zheng, Qinglong Han
PublisherSpringer-Verlag
Pages262-271
Number of pages10
ISBN (Print)9789811063725
DOIs
Publication statusPublished - 23 Aug 2017
EventInternational Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 - Nanjing, China
Duration: 22 Sep 201724 Sep 2017

Publication series

NameCommunications in Computer and Information Science
Volume762
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017
Abbreviated titleICSEE 2017
Country/TerritoryChina
CityNanjing
Period22/09/201724/09/2017

Keywords

  • Heuristic optimisation method
  • Iterative learning control
  • Reheating process
  • Temperature control

ASJC Scopus subject areas

  • Computer Science(all)

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