NDLI: Control of Cricket System Using LQR Controller Optimized by Particle Swarm Optimization

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Control of Cricket System Using LQR Controller Optimized by Particle Swarm Optimization

Content Provider	Scilit
Author	Zhang, Yongli Li, Yunfei Liu, Yu Yi, Guorong
Copyright Year	2020
Description	Journal: Journal of Physics: Conference Series The cricket system, as a strongly coupled, nonlinear and multivariable two dimensional cue system, is a typical representative of unstable and underactuated system. In this paper, the system is analyzed by modeling based on the cricket experimental platform, and while designing the LQR controller, the particle swarm algorithm is introduced to optimize the controller parameters to determine the optimal weight matrix Q in order to solve the difficult problem of controller parameter rectification. The simulation results show that the PSO-LQR can restore the balance of the system in a shorter period of time with enhanced stability compared to a single LQR controller, which exhibits good control performance.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1670/1/012016/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1670/1/012016
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1670
Language	English
Publisher	IOP Publishing
Publisher Date	2020-11-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Cybernetical Science Industrial Engineering Lqr Controller Controller Parameters Cricket System
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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