Journal
IFAC PAPERSONLINE
Volume 49, Issue 5, Pages 55-60Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ifacol.2016.07.089
Keywords
Grey Wolf Optimizer; optimization problems; parametric sensitivity; real-time experiments; Takagi-Sugeno Pi-fuzzy controllers; servo systems
Categories
Funding
- Romanian National Authority for Scientific Research and Innovation
- CNCS - UEFISCDI [PN-II-ID-PCE-2011-3-0109, PN-II-RU-TE-2014-4-0207]
- NSERC of Canada
Ask authors/readers for more resources
This paper suggests the use of Grey Wolf Optimizer (GWO) algorithms to tune the parameters of Takagi-Sugeno proportional-integral-fuzzy controllers (PI-FCs) for a class of nonlinear servo systems. The servo systems are modelled by second order dynamics plus a saturation and dead zone static nonlinearity. The GWO algorithms solve the optimization problems that minimize discrete-time objective functions expressed as the weighted sum of the squared control error and of the squared output sensitivity function in order to achieve the parametric sensitivity reduction. The output sensitivity function is derived from the sensitivity model with respect to the modification of the process gain, and fuzzy control systems with a reduced process gain sensitivity are offered. Three parameters of Takagi-Sugeno PI-FCs are obtained by a new cost-effective tuning approach. Experimental results related to the angular position control of a laboratory servo system validate the tuning approach. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available