Control of an inverted pendulum using mode-based optimized lqr controller

dc.contributor.authorTijani, I.B
dc.contributor.authorAkmeliawati, R
dc.contributor.authorAbdullateef, A. I
dc.date.accessioned2021-06-04T08:22:03Z
dc.date.available2021-06-04T08:22:03Z
dc.date.issued2013
dc.description.abstractThis paper presents an evolutionary optimization based LQR controller design for an inverted pendulum system. The objective is to address the challenges of appropriate design parameters selection in LQR controller while providing optimal performance compromise between the system control objectives with respect to pendulum angle and position response. Hence, a Multiobjective differential evolution algorithm is proposed to design an LQR controller with optimal compromise between the conflicting control objectives. The performance of the MODEbased LQR is benchmarked with an existing controller from the system manufacturer (QANSER). The performance shows the effectiveness of the proposed design algorithm, and in addition provides an efficient solution to conventional trial and error design approach.en_US
dc.identifier.citationTijani, I. B., Akmeliawati, R., & Abdullateef, A. I. (2013). Control of an inverted pendulum using mode-based optimized lqr controller. Proceedings of IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013, 1759–1764, Published by IEEE. Available at https://sci-hub.tw/10.1109/iciea.2013.6566653en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/5887
dc.publisherIEEEen_US
dc.subjectInverted pendulum systemen_US
dc.subjectLQRen_US
dc.subjectMultiobjectives differential evolutionen_US
dc.titleControl of an inverted pendulum using mode-based optimized lqr controlleren_US
dc.typeOtheren_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ControlofaninvertedpendulumusingMODE-basedOptimizedLQRcontroller.pdf
Size:
393.11 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections