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Implementation and Comparison of PID, PI-PD, LQR and MPC on Separation Clutch System in Slip

  • AVL List GmbH

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Although the usage and investment on hybrid vehicles are increased in recent years, the production is demanding solutions due to complex structures. In this paper, it is aimed to provide a modular control algorithm for separation clutch closing process in hybrid vehicles by using well-studied theoretical control methods. The system is controlled by PID, LQR and MPC methods with both classical and further approaches. Then, the results of further approaches (PI-PD, LQR with known disturbances, and Multi-MPC) are compared in terms of performance and control cost. Multi-MPC has the best performance with highest controller cost while LQR with known disturbances has performed between the other two controllers. Moreover, PI-PD has the lowest controller cost and best performance for slip speed but it is not able to control the slip speed change.

Original languageEnglish
Title of host publicationProceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-67
Number of pages7
ISBN (Electronic)9781728157306
DOIs
Publication statusPublished - 10 Mar 2021
Event22nd IEEE International Conference on Industrial Technology, ICIT 2021 - Valencia, Spain
Duration: 10 Mar 202112 Mar 2021

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2021-March

Conference

Conference22nd IEEE International Conference on Industrial Technology, ICIT 2021
Country/TerritorySpain
CityValencia
Period10/03/2112/03/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • clutch
  • control
  • hybrid
  • modelling
  • MPC

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