Implementation and comparison of LQR-MPC on active suspension system

Buse E. Durmaz, Berkan Kaçmaz, Ilhan Mutlu, Mehmet Turan Söylemez

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

11 Citations (Scopus)

Abstract

Suspensions are systems produced to minimize the effect of road surface defects on the vehicle, and are divided into three as passive, semi-active and active suspensions. In this study, quarter car suspension model is examined with linear quadratic regulator (LQR) and model predictive controller (MPC), respectively. Quanser active suspension experiment set is used to obtain experimental results. First, LQR which minimizes the performance criteria related to state and input signals is used to control the system. Then, MPC which is very popular in the industry is used as a second control method. After obtaining nominal system responses for both control methods, comparison between LQR and MPC under different load characteristics and parameter variations is done. By changing the road characteristics and the plant, and by applying disturbance to the system, system responses with LQR and MPC are examined and compared.

Original languageEnglish
Title of host publication2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages828-835
Number of pages8
ISBN (Electronic)9786050107371
Publication statusPublished - 2 Jul 2017
Event10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Duration: 29 Nov 20172 Dec 2017

Publication series

Name2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume2018-January

Conference

Conference10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/TerritoryTurkey
CityBursa
Period29/11/172/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

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