A1 Journal article (refereed), original research

Combined PID and LQR controller using optimized fuzzy rules


LUT Authors / Editors

Publication Details
Authors: Mohammadi Asl Reza, Mahdoudi Amir, Pourabdollah Elham, Klančar Gregor
Publisher: Springer Verlag (Germany)
Publication year: 2018
Language: English
Related Journal or Series Information: Soft Computing
Start page: 1
End page: 23
Number of pages: 23
ISSN: 1432-7643
eISSN: 1433-7479
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

In this paper, a combination of PID controller and linear quadratic
regulator is proposed. A fuzzy switching module is applied to optimally
fuse both controllers. A new adaptive version of charged system search
algorithm optimizes the membership functions of the fuzzy module. By the
time, the algorithm changes itself to find a proper solution faster. To
show the efficiency of the designed intelligent controller, the results
of a simulated unicycle robot under disturbances are presented.


Last updated on 2019-09-01 at 10:03