Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Trajectory Tracking for Automated Guided Vehicle
Linköping University, Department of Electrical Engineering, Automatic Control.
Linköping University, Department of Electrical Engineering, Automatic Control.
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Trajektoriaföljning för en autonom truck (Swedish)
Abstract [en]

The purpose of this thesis is to investigate different control strategies on a differential drive vehicle. The vehicle should be able to drive in turns at high speed and slowly when it should park next to a charger. In both these cases, good precision in both orientation and distance to the path is important. A PID and an LQ controller have been implemented for this purpose.

The two controllers were first implemented in a simulation environment. After implementing the controllers on the system itself, tests to evaluate the controllers were made to imitate real-life situations. This includes tests regarding driving with different speeds in different turns, tests with load distributions, and tests with stopping accuracy. The existing controller on the system was also tested and compared to the new controllers.

After evaluating the controllers, it was stated that the existing controller was the most robust. It was not affected much by the load distribution compared to the new controllers. However, the LQ controller was slightly better in most cases, even though it was highly affected by the load distribution. The PID controller performed best regarding stopping accuracy but was the least robust controller by the three. Since the existing controller has a similar performance as the LQ controller but is more robust, the existing controller was chosen as the best one.

Place, publisher, year, edition, pages
2021. , p. 50
Keywords [en]
AGV, PID, Proportional-Integral-Derivative, LQ, Linear Quadratic, Controller, MIMO, Error Model, Simulink, Dead Time
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-176423ISRN: LiTH-ISY-EX--21/5389—SEOAI: oai:DiVA.org:liu-176423DiVA, id: diva2:1564677
External cooperation
Toyota Material Handling
Subject / course
Automatic Control
Supervisors
Examiners
Available from: 2021-06-14 Created: 2021-06-12 Last updated: 2021-06-14Bibliographically approved

Open Access in DiVA

fulltext(6502 kB)979 downloads
File information
File name FULLTEXT01.pdfFile size 6502 kBChecksum SHA-512
ee9971af35444235ec346efa4d193fc9e15a63fee4e3a62eb4199fdec606d01f524b92be16c6fd12724718c6bed67e1b7b2cfac76fd4b3e40acbacbcfc73c178
Type fulltextMimetype application/pdf

By organisation
Automatic Control
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 998 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1031 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf